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country_name
stringclasses
4 values
country_iso3
stringclasses
4 values
year
int64
1.97k
2.02k
Oil
float64
11.5
480
Algeria
DZA
1,965
15.405252
Algeria
DZA
1,966
20.272705
Algeria
DZA
1,967
18.942032
Algeria
DZA
1,968
20.167301
Algeria
DZA
1,969
21.305931
Algeria
DZA
1,970
24.34768
Algeria
DZA
1,971
27.44005
Algeria
DZA
1,972
30.121414
Algeria
DZA
1,973
32.900345
Algeria
DZA
1,974
36.54384
Algeria
DZA
1,975
40.63067
Algeria
DZA
1,976
46.71773
Algeria
DZA
1,977
52.806496
Algeria
DZA
1,978
54.607944
Algeria
DZA
1,979
65.31862
Algeria
DZA
1,980
66.20243
Algeria
DZA
1,981
71.323074
Algeria
DZA
1,982
75.57342
Algeria
DZA
1,983
84.89242
Algeria
DZA
1,984
94.00201
Algeria
DZA
1,985
96.5538
Algeria
DZA
1,986
98.021255
Algeria
DZA
1,987
99.10052
Algeria
DZA
1,988
99.1726
Algeria
DZA
1,989
103.93666
Algeria
DZA
1,990
111.811615
Algeria
DZA
1,991
110.627785
Algeria
DZA
1,992
111.292656
Algeria
DZA
1,993
110.754875
Algeria
DZA
1,994
106.050896
Algeria
DZA
1,995
103.14229
Algeria
DZA
1,996
98.42208
Algeria
DZA
1,997
97.64342
Algeria
DZA
1,998
100.65875
Algeria
DZA
1,999
98.898346
Algeria
DZA
2,000
103.13248
Algeria
DZA
2,001
106.77533
Algeria
DZA
2,002
118.397224
Algeria
DZA
2,003
123.17412
Algeria
DZA
2,004
128.74683
Algeria
DZA
2,005
134.21338
Algeria
DZA
2,006
139.84572
Algeria
DZA
2,007
156.39
Algeria
DZA
2,008
169.91591
Algeria
DZA
2,009
180.13443
Algeria
DZA
2,010
181.61191
Algeria
DZA
2,011
192.22765
Algeria
DZA
2,012
204.39526
Algeria
DZA
2,013
213.57639
Algeria
DZA
2,014
221.92514
Algeria
DZA
2,015
236.14848
Algeria
DZA
2,016
229.56384
Algeria
DZA
2,017
225.51212
Algeria
DZA
2,018
227.7859
Algeria
DZA
2,019
236.9513
Algeria
DZA
2,020
211.92545
Algeria
DZA
2,021
221.2037
Algeria
DZA
2,022
226.91005
Algeria
DZA
2,023
238.2033
Algeria
DZA
2,024
250.97054
Egypt
EGY
1,965
81.39379
Egypt
EGY
1,966
87.34
Egypt
EGY
1,967
71.32264
Egypt
EGY
1,968
74.599754
Egypt
EGY
1,969
55.378662
Egypt
EGY
1,970
71.66592
Egypt
EGY
1,971
74.0778
Egypt
EGY
1,972
84.65239
Egypt
EGY
1,973
79.57202
Egypt
EGY
1,974
87.76041
Egypt
EGY
1,975
97.01281
Egypt
EGY
1,976
114.73853
Egypt
EGY
1,977
122.63606
Egypt
EGY
1,978
126.69805
Egypt
EGY
1,979
138.93947
Egypt
EGY
1,980
155.29256
Egypt
EGY
1,981
179.1586
Egypt
EGY
1,982
203.74937
Egypt
EGY
1,983
223.57407
Egypt
EGY
1,984
241.74295
Egypt
EGY
1,985
245.68802
Egypt
EGY
1,986
246.40953
Egypt
EGY
1,987
260.4517
Egypt
EGY
1,988
259.0959
Egypt
EGY
1,989
268.61255
Egypt
EGY
1,990
275.3904
Egypt
EGY
1,991
270.62952
Egypt
EGY
1,992
259.8219
Egypt
EGY
1,993
243.19084
Egypt
EGY
1,994
253.93777
Egypt
EGY
1,995
275.37674
Egypt
EGY
1,996
291.0964
Egypt
EGY
1,997
307.3263
Egypt
EGY
1,998
323.4118
Egypt
EGY
1,999
330.86063
Egypt
EGY
2,000
323.75937
Egypt
EGY
2,001
305.73434
Egypt
EGY
2,002
304.1684
Egypt
EGY
2,003
311.87805
Egypt
EGY
2,004
328.39752
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Oil Consumption By Region Terawatt Hours Twh | Africa (Our World in Data)

🌍 240 observations · 4 Africa countries · 1965–2024 · Repackaged by Electric Sheep Africa

rows countries years license

TL;DR

This dataset contains 240 observations of Oil Consumption By Region Terawatt Hours Twh data across 4 Africa countries, spanning 1965–2024.

About the source

Geographic coverage

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

Country Rows First year Last year
DZA 60 1965 2024
EGY 60 1965 2024
MAR 60 1965 2024
ZAF 60 1965 2024

Schema

Column Type Description Example
country_name string Algeria
country_iso3 string DZA
year int64 1965
Oil float64 15.4052515

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-oil-consumption-by-region-terawatt-hours-twh")
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="Oil")

Citation

@misc{africa_owid_oil_consumption_by_region_terawatt_hours_twh_2024,
  title        = {Oil Consumption By Region Terawatt Hours Twh | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/oil-consumption-by-region-terawatt-hours-twh},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-oil-consumption-by-region-terawatt-hours-twh}}
}

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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/oil-consumption-by-region-terawatt-hours-twh

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