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country_name
stringclasses
43 values
country_m49
int64
12
854
item
stringclasses
13 values
year
int64
1.99k
2.02k
value
float64
-875.47
975
unit
stringclasses
1 value
flag
stringclasses
1 value
Algeria
12
Farm gate
1,990
0
%
E
Algeria
12
Farm gate
1,991
0
%
E
Algeria
12
Farm gate
1,992
0
%
E
Algeria
12
Farm gate
1,993
0
%
E
Algeria
12
Farm gate
1,994
0
%
E
Algeria
12
Farm gate
1,995
0
%
E
Algeria
12
Farm gate
1,996
0
%
E
Algeria
12
Farm gate
1,997
0
%
E
Algeria
12
Farm gate
1,998
0
%
E
Algeria
12
Farm gate
1,999
0
%
E
Algeria
12
Farm gate
2,000
0
%
E
Algeria
12
Farm gate
2,001
0
%
E
Algeria
12
Farm gate
2,002
0
%
E
Algeria
12
Farm gate
2,003
0
%
E
Algeria
12
Farm gate
2,004
0.11
%
E
Algeria
12
Farm gate
2,005
0.09
%
E
Algeria
12
Farm gate
2,006
0
%
E
Algeria
12
Farm gate
2,007
0
%
E
Algeria
12
Farm gate
2,008
0
%
E
Algeria
12
Farm gate
2,009
0.42
%
E
Algeria
12
Farm gate
2,010
0.6
%
E
Algeria
12
Farm gate
2,011
0.64
%
E
Algeria
12
Farm gate
2,012
0.64
%
E
Algeria
12
Farm gate
2,013
0.41
%
E
Algeria
12
Farm gate
2,014
0.66
%
E
Algeria
12
Farm gate
2,015
0.6
%
E
Algeria
12
Farm gate
2,016
0.62
%
E
Algeria
12
Farm gate
2,017
0.65
%
E
Algeria
12
Farm gate
2,018
0.5
%
E
Algeria
12
Farm gate
2,019
0.5
%
E
Algeria
12
Farm gate
2,020
0.8
%
E
Algeria
12
Farm gate
2,021
0.86
%
E
Algeria
12
Farm gate
2,022
0.98
%
E
Algeria
12
Farm gate
2,023
0.93
%
E
Algeria
12
Land-use change
1,990
0.17
%
E
Algeria
12
Land-use change
1,991
0.16
%
E
Algeria
12
Land-use change
1,992
0.17
%
E
Algeria
12
Land-use change
1,993
0.16
%
E
Algeria
12
Land-use change
1,994
0.15
%
E
Algeria
12
Land-use change
1,995
0.14
%
E
Algeria
12
Land-use change
1,996
0.14
%
E
Algeria
12
Land-use change
1,997
0.15
%
E
Algeria
12
Land-use change
1,998
0.12
%
E
Algeria
12
Land-use change
1,999
0.14
%
E
Algeria
12
Land-use change
2,000
0.15
%
E
Algeria
12
Land-use change
2,001
0.16
%
E
Algeria
12
Land-use change
2,002
0.15
%
E
Algeria
12
Land-use change
2,003
0.14
%
E
Algeria
12
Land-use change
2,004
0.15
%
E
Algeria
12
Land-use change
2,005
0.12
%
E
Algeria
12
Land-use change
2,006
0.13
%
E
Algeria
12
Land-use change
2,007
0.12
%
E
Algeria
12
Land-use change
2,008
0.12
%
E
Algeria
12
Land-use change
2,009
0.11
%
E
Algeria
12
Land-use change
2,010
0.11
%
E
Algeria
12
Land-use change
2,011
0.11
%
E
Algeria
12
Land-use change
2,012
0.1
%
E
Algeria
12
Land-use change
2,013
0.09
%
E
Algeria
12
Land-use change
2,014
0.08
%
E
Algeria
12
Land-use change
2,015
0.08
%
E
Algeria
12
Land-use change
2,016
0.08
%
E
Algeria
12
Land-use change
2,017
0.08
%
E
Algeria
12
Land-use change
2,018
0.07
%
E
Algeria
12
Land-use change
2,019
0.07
%
E
Algeria
12
Land-use change
2,020
0.07
%
E
Algeria
12
Land-use change
2,021
0.07
%
E
Algeria
12
Land-use change
2,022
0.07
%
E
Algeria
12
Land-use change
2,023
0.06
%
E
Algeria
12
Pre- and post-production
1,990
8.47
%
E
Algeria
12
Pre- and post-production
1,991
11.53
%
E
Algeria
12
Pre- and post-production
1,992
11.84
%
E
Algeria
12
Pre- and post-production
1,993
11.91
%
E
Algeria
12
Pre- and post-production
1,994
11.22
%
E
Algeria
12
Pre- and post-production
1,995
10.4
%
E
Algeria
12
Pre- and post-production
1,996
9.89
%
E
Algeria
12
Pre- and post-production
1,997
10.98
%
E
Algeria
12
Pre- and post-production
1,998
9.81
%
E
Algeria
12
Pre- and post-production
1,999
12.19
%
E
Algeria
12
Pre- and post-production
2,000
13.63
%
E
Algeria
12
Pre- and post-production
2,001
13.91
%
E
Algeria
12
Pre- and post-production
2,002
13.72
%
E
Algeria
12
Pre- and post-production
2,003
13.76
%
E
Algeria
12
Pre- and post-production
2,004
15.77
%
E
Algeria
12
Pre- and post-production
2,005
13.74
%
E
Algeria
12
Pre- and post-production
2,006
15.52
%
E
Algeria
12
Pre- and post-production
2,007
16.12
%
E
Algeria
12
Pre- and post-production
2,008
16.52
%
E
Algeria
12
Pre- and post-production
2,009
14.9
%
E
Algeria
12
Pre- and post-production
2,010
14.67
%
E
Algeria
12
Pre- and post-production
2,011
16.12
%
E
Algeria
12
Pre- and post-production
2,012
18.65
%
E
Algeria
12
Pre- and post-production
2,013
17.51
%
E
Algeria
12
Pre- and post-production
2,014
17.66
%
E
Algeria
12
Pre- and post-production
2,015
18.35
%
E
Algeria
12
Pre- and post-production
2,016
18.68
%
E
Algeria
12
Pre- and post-production
2,017
18.53
%
E
Algeria
12
Pre- and post-production
2,018
19.5
%
E
Algeria
12
Pre- and post-production
2,019
19.12
%
E
Algeria
12
Pre- and post-production
2,020
19.61
%
E
Algeria
12
Pre- and post-production
2,021
18.83
%
E
End of preview. Expand in Data Studio

Emissions indicators — Emissions Share (CO2) | Africa (FAOSTAT)

🌍 20,799 observations · 54 Africa countries · 1990–2023 · Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset contains 20,799 observations of Climate Change data across 54 Africa countries, spanning 1990–2023, covering 13 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
Algeria 442 1990 2023
Burundi 442 1990 2023
Mauritius 442 1990 2023
Burkina Faso 408 1990 2023
Congo 408 1990 2023
Benin 408 1990 2023
Gabon 408 1990 2023
Egypt 408 1990 2023
Côte d'Ivoire 408 1990 2023
Sierra Leone 408 1990 2023
South Africa 408 1990 2023
Morocco 408 1990 2023
Mozambique 408 1990 2023
Namibia 408 1990 2023
Kenya 408 1990 2023
... 39 more countries

Indicators (sample)

  • Farm gate
  • Land-use change
  • Pre- and post-production
  • Agrifood systems
  • Emissions on agricultural land
  • AFOLU
  • LULUCF
  • Energy
  • IPPU
  • All sectors without LULUCF

Schema

Column Type Description Example
country_name string Algeria
country_m49 int64 12
item string Farm gate
year int64 1990
value float64 0.0
unit string %
flag string E

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-emissions-indicators-emissions-share-co2")
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"] == "Farm gate"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="Farm gate")

Pivot to country × year matrix

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

Citation

@misc{africa_emissions_indicators_emissions_share_co2_2023,
  title        = {Emissions indicators — Emissions Share (CO2) | Africa (FAOSTAT)},
  author       = {Food and Agriculture Organization of the United Nations (FAO)},
  year         = {2023},
  url          = {https://www.fao.org/faostat/en/#data/EM},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-emissions-indicators-emissions-share-co2}}
}

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


Provenance: ingested 2026-06-17 via the Electric Sheep pipeline. Source URL: https://www.fao.org/faostat/en/#data/EM

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