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country_name
stringclasses
34 values
country_iso3
stringclasses
34 values
year
int64
2k
2.02k
Permanent agriculture
float64
0
1.79M
Afghanistan
AFG
2,001
63.90144
Afghanistan
AFG
2,002
49.83185
Afghanistan
AFG
2,003
11.649825
Afghanistan
AFG
2,004
24.537743
Afghanistan
AFG
2,005
12.921159
Afghanistan
AFG
2,006
10.215689
Afghanistan
AFG
2,007
9.482629
Afghanistan
AFG
2,008
7.96996
Afghanistan
AFG
2,009
8.618188
Afghanistan
AFG
2,010
4.375351
Afghanistan
AFG
2,011
4.444996
Afghanistan
AFG
2,012
10.837558
Afghanistan
AFG
2,013
0.307765
Afghanistan
AFG
2,014
0.246212
Afghanistan
AFG
2,019
0.251466
Afghanistan
AFG
2,021
0.062868
Afghanistan
AFG
2,022
0.062865
Afghanistan
AFG
2,023
0.817224
Afghanistan
AFG
2,024
0
Armenia
ARM
2,001
8.475505
Armenia
ARM
2,002
3.898272
Armenia
ARM
2,003
10.075414
Armenia
ARM
2,004
3.045965
Armenia
ARM
2,005
1.346018
Armenia
ARM
2,006
6.117262
Armenia
ARM
2,007
0.823381
Armenia
ARM
2,008
6.956551
Armenia
ARM
2,009
2.05061
Armenia
ARM
2,010
4.756431
Armenia
ARM
2,011
14.825881
Armenia
ARM
2,012
8.27173
Armenia
ARM
2,013
0.585044
Armenia
ARM
2,014
1.111128
Armenia
ARM
2,016
0.764987
Armenia
ARM
2,017
5.006714
Armenia
ARM
2,018
0.996282
Armenia
ARM
2,023
0.471562
Armenia
ARM
2,024
0
Azerbaijan
AZE
2,001
136.84013
Azerbaijan
AZE
2,002
618.2793
Azerbaijan
AZE
2,003
256.09583
Azerbaijan
AZE
2,004
192.32281
Azerbaijan
AZE
2,005
84.50061
Azerbaijan
AZE
2,006
181.26369
Azerbaijan
AZE
2,007
212.81882
Azerbaijan
AZE
2,008
195.7275
Azerbaijan
AZE
2,009
134.56245
Azerbaijan
AZE
2,010
132.42429
Azerbaijan
AZE
2,011
37.319294
Azerbaijan
AZE
2,012
336.56146
Azerbaijan
AZE
2,013
17.820457
Azerbaijan
AZE
2,014
39.87866
Azerbaijan
AZE
2,015
0.648169
Azerbaijan
AZE
2,016
1.819408
Azerbaijan
AZE
2,017
7.282823
Azerbaijan
AZE
2,018
33.49527
Azerbaijan
AZE
2,019
0.946258
Azerbaijan
AZE
2,020
14.536151
Azerbaijan
AZE
2,021
23.19034
Azerbaijan
AZE
2,022
4.166009
Azerbaijan
AZE
2,023
33.31458
Azerbaijan
AZE
2,024
15.48479
Bangladesh
BGD
2,001
1,575.2488
Bangladesh
BGD
2,002
1,427.8701
Bangladesh
BGD
2,003
728.6627
Bangladesh
BGD
2,004
1,771.3958
Bangladesh
BGD
2,005
1,074.8564
Bangladesh
BGD
2,006
3,068.247
Bangladesh
BGD
2,007
1,798.5726
Bangladesh
BGD
2,008
2,040.5853
Bangladesh
BGD
2,009
2,437.9639
Bangladesh
BGD
2,010
2,061.5886
Bangladesh
BGD
2,011
1,730.6088
Bangladesh
BGD
2,012
1,551.065
Bangladesh
BGD
2,013
808.0347
Bangladesh
BGD
2,014
1,250.3392
Bangladesh
BGD
2,015
1,194.9586
Bangladesh
BGD
2,016
1,813.3131
Bangladesh
BGD
2,017
2,627.942
Bangladesh
BGD
2,018
2,123.332
Bangladesh
BGD
2,019
1,817.6051
Bangladesh
BGD
2,020
2,383.7273
Bangladesh
BGD
2,021
2,703.4824
Bangladesh
BGD
2,022
2,532.9888
Bangladesh
BGD
2,023
2,929.0273
Bangladesh
BGD
2,024
2,592.8054
Bhutan
BTN
2,001
39.420223
Bhutan
BTN
2,002
19.091702
Bhutan
BTN
2,003
196.54398
Bhutan
BTN
2,004
303.47153
Bhutan
BTN
2,005
203.09746
Bhutan
BTN
2,006
117.61354
Bhutan
BTN
2,007
113.79303
Bhutan
BTN
2,008
157.76352
Bhutan
BTN
2,009
274.99603
Bhutan
BTN
2,010
1,805.4716
Bhutan
BTN
2,011
264.2431
Bhutan
BTN
2,012
253.82365
Bhutan
BTN
2,013
180.16803
Bhutan
BTN
2,014
412.05682
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Commodity Driven Deforestation | Asia (Our World in Data)

🌏 910 observations · 42 Asia countries · 2001–2024 · Repackaged by Electric Sheep Asia

rows countries years license

TL;DR

This dataset contains 910 observations of Commodity Driven Deforestation data across 42 Asia countries, spanning 2001–2024.

About the source

Geographic coverage

42 Asia countries · top rows shown below, sorted by row count:

Country Rows First year Last year
BGD 24 2001 2024
AZE 24 2001 2024
CHN 24 2001 2024
CYP 24 2001 2024
BRN 24 2001 2024
BTN 24 2001 2024
GEO 24 2001 2024
IDN 24 2001 2024
ISR 24 2001 2024
IND 24 2001 2024
VNM 24 2001 2024
TUR 24 2001 2024
KAZ 24 2001 2024
JPN 24 2001 2024
LBN 24 2001 2024
... 27 more countries

Schema

Column Type Description Example
country_name string Afghanistan
country_iso3 string AFG
year int64 2001
Permanent agriculture float64 63.90144

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-commodity-driven-deforestation")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Permanent agriculture")

Citation

@misc{asia_owid_commodity_driven_deforestation_2024,
  title        = {Commodity Driven Deforestation | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/commodity-driven-deforestation},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-commodity-driven-deforestation}}
}

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 Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia


Provenance: ingested 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/commodity-driven-deforestation

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