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country_name
stringclasses
44 values
country_iso3
stringclasses
44 values
year
int64
1.99k
2.03k
Annual change in forest area
float64
-1,004,496.9
64.5k
Algeria
DZA
1,991
-673.999
Algeria
DZA
1,992
-673.999
Algeria
DZA
1,993
-673.999
Algeria
DZA
1,994
-673.999
Algeria
DZA
1,995
-673.999
Algeria
DZA
1,996
-673.999
Algeria
DZA
1,997
-673.999
Algeria
DZA
1,998
-673.999
Algeria
DZA
1,999
-673.999
Algeria
DZA
2,000
-673.999
Algeria
DZA
2,001
-675
Algeria
DZA
2,002
-675
Algeria
DZA
2,003
-675
Algeria
DZA
2,004
-675
Algeria
DZA
2,005
-675
Algeria
DZA
2,006
-675
Algeria
DZA
2,007
-675
Algeria
DZA
2,008
-675
Algeria
DZA
2,009
-675
Algeria
DZA
2,010
-675
Algeria
DZA
2,011
-673.999
Algeria
DZA
2,012
-673.999
Algeria
DZA
2,013
-673.999
Algeria
DZA
2,014
-673.999
Algeria
DZA
2,015
-673.999
Algeria
DZA
2,016
-673.999
Algeria
DZA
2,017
-673.999
Algeria
DZA
2,018
-673.999
Algeria
DZA
2,019
-673.999
Algeria
DZA
2,020
-673.999
Algeria
DZA
2,021
-673.999
Algeria
DZA
2,022
-673.999
Algeria
DZA
2,023
-673.999
Algeria
DZA
2,024
-673.999
Algeria
DZA
2,025
-673.999
Angola
AGO
1,991
-152,021.1
Angola
AGO
1,992
-152,021.1
Angola
AGO
1,993
-152,021.1
Angola
AGO
1,994
-152,021.1
Angola
AGO
1,995
-152,021.1
Angola
AGO
1,996
-152,021.1
Angola
AGO
1,997
-152,021.1
Angola
AGO
1,998
-152,021.1
Angola
AGO
1,999
-152,021.1
Angola
AGO
2,000
-152,021.1
Angola
AGO
2,001
-510,029.7
Angola
AGO
2,002
-510,029.7
Angola
AGO
2,003
-510,029.7
Angola
AGO
2,004
-510,029.7
Angola
AGO
2,005
-510,029.7
Angola
AGO
2,006
-510,029.7
Angola
AGO
2,007
-510,029.7
Angola
AGO
2,008
-510,029.7
Angola
AGO
2,009
-510,029.7
Angola
AGO
2,010
-510,029.7
Angola
AGO
2,011
-510,029.7
Angola
AGO
2,012
-510,029.7
Angola
AGO
2,013
-510,029.7
Angola
AGO
2,014
-510,029.7
Angola
AGO
2,015
-510,029.7
Angola
AGO
2,016
-510,031.25
Angola
AGO
2,017
-510,031.25
Angola
AGO
2,018
-510,031.25
Angola
AGO
2,019
-510,031.25
Angola
AGO
2,020
-510,031.25
Angola
AGO
2,021
-510,029.7
Angola
AGO
2,022
-510,029.7
Angola
AGO
2,023
-510,029.7
Angola
AGO
2,024
-510,029.7
Angola
AGO
2,025
-510,029.7
Benin
BEN
1,991
-130,585.01
Benin
BEN
1,992
-130,585.01
Benin
BEN
1,993
-130,585.01
Benin
BEN
1,994
-130,585.01
Benin
BEN
1,995
-130,585.01
Benin
BEN
1,996
-130,585.01
Benin
BEN
1,997
-130,585.01
Benin
BEN
1,998
-130,585.01
Benin
BEN
1,999
-130,585.01
Benin
BEN
2,000
-130,585.01
Benin
BEN
2,001
-141,004.98
Benin
BEN
2,002
-141,004.98
Benin
BEN
2,003
-141,004.98
Benin
BEN
2,004
-141,004.98
Benin
BEN
2,005
-141,004.98
Benin
BEN
2,006
-141,004.98
Benin
BEN
2,007
-141,004.98
Benin
BEN
2,008
-141,004.98
Benin
BEN
2,009
-141,004.98
Benin
BEN
2,010
-141,004.98
Benin
BEN
2,011
-151,426.03
Benin
BEN
2,012
-151,426.03
Benin
BEN
2,013
-151,426.03
Benin
BEN
2,014
-151,426.03
Benin
BEN
2,015
-151,426.03
Benin
BEN
2,016
-37,382.03
Benin
BEN
2,017
-37,382.03
Benin
BEN
2,018
-37,382.03
Benin
BEN
2,019
-37,382.03
Benin
BEN
2,020
-37,382.03
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Annual Change Forest Area | Africa (Our World in Data)

🌍 1,890 observations · 54 Africa countries · 1991–2025 · Repackaged by Electric Sheep Africa

rows countries years license

TL;DR

This dataset contains 1,890 observations of Annual Change Forest Area data across 54 Africa countries, spanning 1991–2025.

About the source

Geographic coverage

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

Country Rows First year Last year
AGO 35 1991 2025
BDI 35 1991 2025
BEN 35 1991 2025
BFA 35 1991 2025
BWA 35 1991 2025
CAF 35 1991 2025
CIV 35 1991 2025
CMR 35 1991 2025
COD 35 1991 2025
COG 35 1991 2025
COM 35 1991 2025
CPV 35 1991 2025
DJI 35 1991 2025
DZA 35 1991 2025
EGY 35 1991 2025
... 39 more countries

Schema

Column Type Description Example
country_name string Algeria
country_iso3 string DZA
year int64 1991
Annual change in forest area float64 -673.999

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-annual-change-forest-area")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

kenya = df[df["country_iso3"] == "KEN"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Annual change in forest area")

Citation

@misc{africa_owid_annual_change_forest_area_2025,
  title        = {Annual Change Forest Area | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/annual-change-forest-area},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-annual-change-forest-area}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. 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


Provenance: ingested 2026-06-01 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/annual-change-forest-area

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