Dataset Viewer
Auto-converted to Parquet Duplicate
country_name
stringclasses
43 values
country_iso3
stringclasses
43 values
year
int64
1.97k
2.02k
Primary energy consumption
float64
-113.96
106
Algeria
DZA
1,966
4.999878
Algeria
DZA
1,967
-1.585121
Algeria
DZA
1,968
2.097582
Algeria
DZA
1,969
3.194204
Algeria
DZA
1,970
3.219708
Algeria
DZA
1,971
2.973946
Algeria
DZA
1,972
4.915005
Algeria
DZA
1,973
8.602829
Algeria
DZA
1,974
5.658257
Algeria
DZA
1,975
11.460747
Algeria
DZA
1,976
11.73243
Algeria
DZA
1,977
8.110497
Algeria
DZA
1,978
23.148872
Algeria
DZA
1,979
35.178726
Algeria
DZA
1,980
28.602737
Algeria
DZA
1,981
38.04323
Algeria
DZA
1,982
32.92595
Algeria
DZA
1,983
22.854553
Algeria
DZA
1,984
-10.770477
Algeria
DZA
1,985
2.100372
Algeria
DZA
1,986
15.19397
Algeria
DZA
1,987
7.677551
Algeria
DZA
1,988
20.253723
Algeria
DZA
1,989
-8.353516
Algeria
DZA
1,990
17.905426
Algeria
DZA
1,991
-2.878632
Algeria
DZA
1,992
8.131775
Algeria
DZA
1,993
-22.231903
Algeria
DZA
1,994
3.926148
Algeria
DZA
1,995
11.223755
Algeria
DZA
1,996
-3.220123
Algeria
DZA
1,997
-12.064972
Algeria
DZA
1,998
10.489227
Algeria
DZA
1,999
3.085175
Algeria
DZA
2,000
-11.488525
Algeria
DZA
2,001
10.86731
Algeria
DZA
2,002
11.137543
Algeria
DZA
2,003
14.971619
Algeria
DZA
2,004
12.855682
Algeria
DZA
2,005
16.493744
Algeria
DZA
2,006
12.948517
Algeria
DZA
2,007
20.419708
Algeria
DZA
2,008
23.917145
Algeria
DZA
2,009
25.30243
Algeria
DZA
2,010
-9.864441
Algeria
DZA
2,011
25.493378
Algeria
DZA
2,012
43.183594
Algeria
DZA
2,013
29.304932
Algeria
DZA
2,014
48.636475
Algeria
DZA
2,015
31.904907
Algeria
DZA
2,016
-0.522339
Algeria
DZA
2,017
6.798828
Algeria
DZA
2,018
45.825073
Algeria
DZA
2,019
24.729126
Algeria
DZA
2,020
-45.450073
Algeria
DZA
2,021
58.728516
Algeria
DZA
2,022
26.620483
Algeria
DZA
2,023
50.284424
Algeria
DZA
2,024
-24.399597
Angola
AGO
1,981
-0.157352
Angola
AGO
1,982
1.069929
Angola
AGO
1,983
1.245405
Angola
AGO
1,984
-1.862259
Angola
AGO
1,985
4.064247
Angola
AGO
1,986
-0.391211
Angola
AGO
1,987
0.674076
Angola
AGO
1,988
0.709955
Angola
AGO
1,989
-0.771427
Angola
AGO
1,990
1.256897
Angola
AGO
1,991
1.122212
Angola
AGO
1,992
0.141712
Angola
AGO
1,993
-0.543814
Angola
AGO
1,994
-0.604311
Angola
AGO
1,995
1.717897
Angola
AGO
1,996
-1.049471
Angola
AGO
1,997
3.15377
Angola
AGO
1,998
-3.111403
Angola
AGO
1,999
3.196863
Angola
AGO
2,000
4.776829
Angola
AGO
2,001
2.541016
Angola
AGO
2,002
2.11293
Angola
AGO
2,003
3.945854
Angola
AGO
2,004
3.483646
Angola
AGO
2,005
-7.730301
Angola
AGO
2,006
9.32502
Angola
AGO
2,007
7.843441
Angola
AGO
2,008
8.640617
Angola
AGO
2,009
9.509674
Angola
AGO
2,010
6.048988
Angola
AGO
2,011
3.508575
Angola
AGO
2,012
6.209343
Angola
AGO
2,013
7.316361
Angola
AGO
2,014
9.811554
Angola
AGO
2,015
5.263451
Angola
AGO
2,016
-11.282097
Angola
AGO
2,017
-13.334206
Angola
AGO
2,018
10.147743
Angola
AGO
2,019
3.709427
Angola
AGO
2,020
-19.910599
Angola
AGO
2,021
9.544823
End of preview. Expand in Data Studio

Abs Change Energy Consumption | Africa (Our World in Data)

🌍 2,380 observations · 54 Africa countries · 1966–2024 · Repackaged by Electric Sheep Africa

rows countries years license

TL;DR

This dataset contains 2,380 observations of Abs Change Energy Consumption data across 54 Africa countries, spanning 1966–2024.

About the source

Geographic coverage

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

Country Rows First year Last year
EGY 59 1966 2024
DZA 59 1966 2024
ZAF 59 1966 2024
MAR 59 1966 2024
BEN 44 1981 2024
BFA 44 1981 2024
CAF 44 1981 2024
BWA 44 1981 2024
COD 44 1981 2024
CIV 44 1981 2024
COG 44 1981 2024
COM 44 1981 2024
CPV 44 1981 2024
CMR 44 1981 2024
DJI 44 1981 2024
... 39 more countries

Schema

Column Type Description Example
country_name string Algeria
country_iso3 string DZA
year int64 1966
Primary energy consumption float64 4.999878

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-abs-change-energy-consumption")
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="Primary energy consumption")

Citation

@misc{africa_owid_abs_change_energy_consumption_2024,
  title        = {Abs Change Energy Consumption | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/abs-change-energy-consumption},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-abs-change-energy-consumption}}
}

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/abs-change-energy-consumption

Downloads last month
21