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electricsheepasia/asia-owid-capture-fisheries-vs-aquaculture

Capture Fisheries Vs Aquaculture | Asia (Our World in Data) 🌏 3,072 observations · 48 Asia countries · 1960–2023 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 3,072 observations of Capture Fisheries Vs Aquaculture data across 48 Asia countries, spanning 1960–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Capture Fisheries Vs Aquaculture Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-capture-fisheries-vs-aquaculture.

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Dataset Card

Capture Fisheries Vs Aquaculture | Asia (Our World in Data)

🌏 3,072 observations · 48 Asia countries · 1960–2023 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 3,072 observations of Capture Fisheries Vs Aquaculture data across 48 Asia countries, spanning 1960–2023.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AFG6419602023
ARE6419602023
ARM6419602023
AZE6419602023
BGD6419602023
BHR6419602023
BRN6419602023
BTN6419602023
CHN6419602023
CYP6419602023
GEO6419602023
IDN6419602023
IND6419602023
IRN6419602023
IRQ6419602023
...33 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1960
Aquaculturefloat64—0.0
Capture fisheriesfloat64—200.0

Data quality & caveats

  • —Aquaculture column has 0.0% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-capture-fisheries-vs-aquaculture")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Aquaculture")

Citation

bibtex
@misc{asia_owid_capture_fisheries_vs_aquaculture_2023,
  title        = {Capture Fisheries Vs Aquaculture | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/capture-fisheries-vs-aquaculture},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-capture-fisheries-vs-aquaculture}}
}

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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/capture-fisheries-vs-aquaculture