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country_name
stringclasses
24 values
country_iso3
stringclasses
24 values
year
int64
1.96k
2.02k
Lettuce - Yield (tonnes per hectare)
float64
1.01
60.1
Bahrain
BHR
1,974
20
Bahrain
BHR
1,975
25.000002
Bahrain
BHR
1,976
30.500002
Bahrain
BHR
1,977
28.933302
Bahrain
BHR
1,978
28.823502
Bahrain
BHR
1,979
25.000002
Bahrain
BHR
1,980
20.833302
Bahrain
BHR
1,981
19.708302
Bahrain
BHR
1,982
19.739101
Bahrain
BHR
1,983
20.153801
Bahrain
BHR
1,984
20.160002
Bahrain
BHR
1,985
20.033302
Bahrain
BHR
1,986
19.7586
Bahrain
BHR
1,987
19.800001
Bahrain
BHR
1,988
20.206902
Bahrain
BHR
1,989
19.075
Bahrain
BHR
1,990
19.735302
Bahrain
BHR
1,991
20.0345
Bahrain
BHR
1,992
18.6571
Bahrain
BHR
1,993
14.864902
Bahrain
BHR
1,994
20.0435
Bahrain
BHR
1,995
19.8462
Bahrain
BHR
1,996
20
Bahrain
BHR
1,997
17.931002
Bahrain
BHR
1,998
19.75
Bahrain
BHR
1,999
19.871
Bahrain
BHR
2,000
20.0909
Bahrain
BHR
2,001
20.303001
Bahrain
BHR
2,002
20.325
Bahrain
BHR
2,003
19.2642
Bahrain
BHR
2,004
20.169802
Bahrain
BHR
2,005
20.1818
Bahrain
BHR
2,006
26.137901
Bahrain
BHR
2,007
26.866701
Bahrain
BHR
2,008
26.6786
Bahrain
BHR
2,009
26.076902
Bahrain
BHR
2,010
26.136303
Bahrain
BHR
2,011
26.741701
Bahrain
BHR
2,012
27.4692
Bahrain
BHR
2,013
28.0034
Bahrain
BHR
2,014
30.289303
Bahrain
BHR
2,015
33.6432
Bahrain
BHR
2,016
36.0955
Bahrain
BHR
2,017
40
Bahrain
BHR
2,018
39.5455
Bahrain
BHR
2,019
40
Bahrain
BHR
2,020
40
Bahrain
BHR
2,021
40
Bahrain
BHR
2,022
43.461502
Bahrain
BHR
2,023
47.3077
Bahrain
BHR
2,024
50.000004
Bangladesh
BGD
1,961
5.6471
Bangladesh
BGD
1,962
5.6667
Bangladesh
BGD
1,963
5.6842
Bangladesh
BGD
1,964
5.7
Bangladesh
BGD
1,965
5.7143
Bangladesh
BGD
1,966
5.7273
Bangladesh
BGD
1,967
5.652201
Bangladesh
BGD
1,968
5.6667
Bangladesh
BGD
1,969
5.589201
Bangladesh
BGD
1,970
5.6253
Bangladesh
BGD
1,971
5.598701
Bangladesh
BGD
1,972
4.8857
Bangladesh
BGD
1,973
4.522201
Bangladesh
BGD
1,974
4.5202
Bangladesh
BGD
1,975
4.5374
Bangladesh
BGD
1,976
4.7138
Bangladesh
BGD
1,977
4.5462
Bangladesh
BGD
1,978
5.0389
Bangladesh
BGD
1,979
5.117
Bangladesh
BGD
1,980
5.061201
Bangladesh
BGD
1,981
5.0375
Bangladesh
BGD
1,982
5.14
Bangladesh
BGD
1,983
5.1173
Bangladesh
BGD
1,984
5.216
Bangladesh
BGD
1,985
5.1593
Bangladesh
BGD
1,986
5.092
Bangladesh
BGD
1,987
4.7242
Bangladesh
BGD
1,988
4.9724
Bangladesh
BGD
1,989
4.9546
Bangladesh
BGD
1,990
5.031
Bangladesh
BGD
1,991
5.1994
Bangladesh
BGD
1,992
5.2475
Bangladesh
BGD
1,993
5.2475
Bangladesh
BGD
1,994
5.1485
Bangladesh
BGD
1,995
5.049501
Bangladesh
BGD
1,996
4.9505
Bangladesh
BGD
1,997
4.857101
Bangladesh
BGD
1,998
4.857101
Bangladesh
BGD
1,999
4.7593
Bangladesh
BGD
2,000
4.6774
Bangladesh
BGD
2,001
4.1186
Bangladesh
BGD
2,002
4.1186
Bangladesh
BGD
2,003
4.0317
Bangladesh
BGD
2,004
4.1618
Bangladesh
BGD
2,005
4.0942
Bangladesh
BGD
2,006
3.9936
Bangladesh
BGD
2,007
4.2299
Bangladesh
BGD
2,008
4.598
Bangladesh
BGD
2,009
4.3838
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Lettuce Yields | Asia (Our World in Data)

🌏 1,342 observations · 29 Asia countries · 1961–2024 · Repackaged by Electric Sheep Asia

rows countries years license

TL;DR

This dataset contains 1,342 observations of Lettuce Yields data across 29 Asia countries, spanning 1961–2024.

About the source

Geographic coverage

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

Country Rows First year Last year
CHN 64 1961 2024
ISR 64 1961 2024
IRQ 64 1961 2024
IND 64 1961 2024
CYP 64 1961 2024
JPN 64 1961 2024
JOR 64 1961 2024
TUR 64 1961 2024
LBN 64 1961 2024
SYR 64 1961 2024
THA 64 1961 2024
BGD 58 1961 2018
ARE 58 1967 2024
KOR 51 1974 2024
BHR 51 1974 2024
... 14 more countries

Schema

Column Type Description Example
country_name string — Bahrain
country_iso3 string — BHR
year int64 — 1974
Lettuce - Yield (tonnes per hectare) float64 — 20.0

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-lettuce-yields")
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="Lettuce - Yield (tonnes per hectare)")

Citation

@misc{asia_owid_lettuce_yields_2024,
  title        = {Lettuce Yields | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/lettuce-yields},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-lettuce-yields}}
}

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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/lettuce-yields

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