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electricsheepasia/asia-owid-fish-catch-by-fishing-sector

Fish Catch By Fishing Sector | Asia (Our World in Data) 🌏 2,484 observations Β· 36 Asia countries Β· 1950–2018 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 2,484 observations of Fish Catch By Fishing Sector data across 36 Asia countries, spanning 1950–2018. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Fish Catch By Fishing Sector Geographic coverage 36 Asia… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-fish-catch-by-fishing-sector.

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Dataset Card

Fish Catch By Fishing Sector | Asia (Our World in Data)

🌏 2,484 observations Β· 36 Asia countries Β· 1950–2018 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 2,484 observations of Fish Catch By Fishing Sector data across 36 Asia countries, spanning 1950–2018.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Fish Catch By Fishing Sector

Geographic coverage

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

CountryRowsFirst yearLast year
ARE6919502018
BGD6919502018
BHR6919502018
BRN6919502018
CHN6919502018
GEO6919502018
IDN6919502018
IND6919502018
IRN6919502018
IRQ6919502018
ISR6919502018
JOR6919502018
JPN6919502018
KHM6919502018
KOR6919502018
...21 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Bahrain
country_iso3stringβ€”BHR
yearint64β€”1950
Industrialfloat64β€”5200.0
Artisanalfloat64β€”15565.0
Subsistencefloat64β€”1.9488512
Recreationalfloat64β€”32.0

Data quality & caveats

  • β€”Industrial column has 15.5% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-fish-catch-by-fishing-sector")
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="Industrial")

Citation

bibtex
@misc{asia_owid_fish_catch_by_fishing_sector_2018,
  title        = {Fish Catch By Fishing Sector | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2018},
  url          = {https://ourworldindata.org/grapher/fish-catch-by-fishing-sector},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-fish-catch-by-fishing-sector}}
}

License

Released under cc-by-4.0.

Original data Β© 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 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/fish-catch-by-fishing-sector