Annual Aquaculture Production by State & Culture System

Data as of 2025

Annual aquaculture production and its wholesale and retail value by state and culture system.

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Aquaculture Production (mt)

How is this data produced?

Data on aquaculture production in Malaysia is collected via establishment-level surveys and censuses of aquaculture farms conducted by the Department of Fisheries (DOF). Accordingly, this data reflects the production of culturists registered with the DOF only. Production is the quantity harvested from freshwater culture systems (ponds, ex-mining pools, cages, cement/fibre and canvas tanks, pens and fish estates) and brackishwater/marine culture systems (ponds, cages, tanks, pens, mollusc culture and seaweed longlines), classified by the state where the farm is located. Wholesale and retail values are the DOF's valuation of that production at wholesale and retail prices.

The DOF's culture systems changed over time: canvas tanks are reported separately from 2007, brackishwater tanks from 2007, brackishwater pen culture from 2012 and fish estates from 2018, while from 2018 cockles, mussels and oysters are reported together as molluscs. W.P. Labuan appears from 2011 and W.P. Kuala Lumpur from 2019.

What caveats I should bear in mind when using this data?

National totals may be slightly different to the sum of state values, and totals to the sum of culture systems, due to rounding. Seaweed production is in wet weight. The DOF notes that Johor's seaweed production in 2022, 2023 and 2025 is from unregistered farmers.

Metadata

Dataset description

Annual aquaculture production and its wholesale and retail value by state and culture system.

Variable definitions
  • Date
  • State
  • Culture System
  • Production
  • Wholesale Value
  • Retail Value
Last updated:

10 Oct 2026, 22:57

Next update:

N/A

Data source(s)
  • Department of Fisheries
License

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.

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Code

Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.data.gov.my/agriculture/aquaculture_production.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.

import requests import pprint url = "https://api.data.gov.my/data-catalogue?id=aquaculture_production&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)