Dataset Viewer
Auto-converted to Parquet Duplicate
country_name
stringclasses
43 values
country_iso3
stringclasses
43 values
year
int64
2k
2.02k
Above-ground biomass in forest (tonnes per hectare)
float64
29.2
265
Algeria
DZA
2,000
29.16
Algeria
DZA
2,010
29.38
Algeria
DZA
2,015
29.51
Algeria
DZA
2,016
29.41
Algeria
DZA
2,017
29.38
Algeria
DZA
2,018
29.18
Algeria
DZA
2,019
29.37
Algeria
DZA
2,020
29.39
Angola
AGO
2,000
30.3
Angola
AGO
2,010
30.3
Angola
AGO
2,015
30.3
Angola
AGO
2,016
30.3
Angola
AGO
2,017
30.3
Angola
AGO
2,018
30.3
Angola
AGO
2,019
30.3
Angola
AGO
2,020
30.3
Benin
BEN
2,000
103.56
Benin
BEN
2,010
103.56
Benin
BEN
2,015
103.56
Benin
BEN
2,016
103.56
Benin
BEN
2,017
103.56
Benin
BEN
2,018
103.56
Benin
BEN
2,019
103.56
Benin
BEN
2,020
103.56
Botswana
BWA
2,000
155.25
Botswana
BWA
2,010
155.25
Botswana
BWA
2,015
155.25
Botswana
BWA
2,016
155.25
Botswana
BWA
2,017
155.25
Botswana
BWA
2,018
155.25
Botswana
BWA
2,019
155.25
Botswana
BWA
2,020
155.25
Burkina Faso
BFA
2,000
59.27
Burkina Faso
BFA
2,010
53.98
Burkina Faso
BFA
2,015
52.21
Burkina Faso
BFA
2,016
50.38
Burkina Faso
BFA
2,017
49.75
Burkina Faso
BFA
2,018
49.11
Burkina Faso
BFA
2,019
48.45
Burkina Faso
BFA
2,020
47.79
Burundi
BDI
2,000
114.03
Burundi
BDI
2,010
114.03
Burundi
BDI
2,015
119.38
Burundi
BDI
2,016
119.38
Burundi
BDI
2,017
119.38
Burundi
BDI
2,018
119.38
Burundi
BDI
2,019
119.38
Burundi
BDI
2,020
119.38
Cameroon
CMR
2,000
265.05
Cameroon
CMR
2,010
265.05
Cameroon
CMR
2,015
265.05
Cameroon
CMR
2,016
265.05
Cameroon
CMR
2,017
265.05
Cameroon
CMR
2,018
265.05
Cameroon
CMR
2,019
265.05
Cameroon
CMR
2,020
265.05
Cape Verde
CPV
2,000
95
Cape Verde
CPV
2,010
95
Cape Verde
CPV
2,015
95
Cape Verde
CPV
2,016
95
Cape Verde
CPV
2,017
95
Cape Verde
CPV
2,018
95
Cape Verde
CPV
2,019
95
Cape Verde
CPV
2,020
95
Central African Republic
CAF
2,000
217.09
Central African Republic
CAF
2,010
217.09
Central African Republic
CAF
2,015
217.09
Central African Republic
CAF
2,016
217.09
Central African Republic
CAF
2,017
217.09
Central African Republic
CAF
2,018
217.09
Central African Republic
CAF
2,019
217.09
Central African Republic
CAF
2,020
217.09
Chad
TCD
2,000
91.4
Chad
TCD
2,010
91.34
Chad
TCD
2,015
91.29
Chad
TCD
2,016
91.27
Chad
TCD
2,017
91.28
Chad
TCD
2,018
91.27
Chad
TCD
2,019
91.25
Chad
TCD
2,020
91.23
Comoros
COM
2,000
66
Comoros
COM
2,010
66
Comoros
COM
2,015
66
Comoros
COM
2,016
66
Comoros
COM
2,017
66
Comoros
COM
2,018
66
Comoros
COM
2,019
66
Comoros
COM
2,020
66
Congo
COG
2,000
198.8
Congo
COG
2,010
198.8
Congo
COG
2,015
198.8
Congo
COG
2,016
198.8
Congo
COG
2,017
198.8
Congo
COG
2,018
198.8
Congo
COG
2,019
198.8
Congo
COG
2,020
198.8
Cote d'Ivoire
CIV
2,000
94.45
Cote d'Ivoire
CIV
2,010
94.45
Cote d'Ivoire
CIV
2,015
94.45
Cote d'Ivoire
CIV
2,016
94.45
End of preview. Expand in Data Studio

Above Ground Biomass In Forest Per Hectare | Africa (Our World in Data)

🌍 424 observations · 53 Africa countries · 2000–2020 · Repackaged by Electric Sheep Africa

rows countries years license

TL;DR

This dataset contains 424 observations of Above Ground Biomass In Forest Per Hectare data across 53 Africa countries, spanning 2000–2020.

About the source

Geographic coverage

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

Country Rows First year Last year
AGO 8 2000 2020
BDI 8 2000 2020
BEN 8 2000 2020
BFA 8 2000 2020
BWA 8 2000 2020
CAF 8 2000 2020
CIV 8 2000 2020
CMR 8 2000 2020
COD 8 2000 2020
COG 8 2000 2020
COM 8 2000 2020
CPV 8 2000 2020
DJI 8 2000 2020
DZA 8 2000 2020
EGY 8 2000 2020
... 38 more countries

Schema

Column Type Description Example
country_name string Algeria
country_iso3 string DZA
year int64 2000
Above-ground biomass in forest (tonnes per hectare) float64 29.16

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-above-ground-biomass-in-forest-per-hectare")
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="Above-ground biomass in forest (tonnes per hectare)")

Citation

@misc{africa_owid_above_ground_biomass_in_forest_per_hectare_2020,
  title        = {Above Ground Biomass In Forest Per Hectare | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2020},
  url          = {https://ourworldindata.org/grapher/above-ground-biomass-in-forest-per-hectare},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-above-ground-biomass-in-forest-per-hectare}}
}

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/above-ground-biomass-in-forest-per-hectare

Downloads last month
35