Annual aquaculture production in Malaysia and its wholesale and retail value by environment and species.
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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. This dataset gives national production by species, summed over all culture systems, separately for freshwater and brackishwater/marine aquaculture; species are as named by the DOF, and 'total' is the DOF's total for each environment.
The DOF's list of species has expanded over time, from about 15 species in each environment in 2005 to 37 (freshwater) and 36 (brackishwater) from 2021. 'Miscellaneous' is production for which the species was not reported.
Totals may be slightly different to the sum of species due to rounding, and national totals may differ slightly from those in the dataset by state and culture system. Seaweed production is in wet weight.
Annual aquaculture production in Malaysia and its wholesale and retail value by environment and species.
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 as the data is at annual frequency |
environment (Categorical) | Environment | Freshwater ('freshwater') or brackishwater/marine ('brackishwater') aquaculture |
species (Categorical) | Species | The species as named by DOF, or 'total' for all species |
production (Float) | Production | Aquaculture production in metric tonnes (seaweed in wet weight) |
wholesale_value (Float) | Wholesale Value | Wholesale value of the production in RM |
retail_value (Float) | Retail Value | Retail value of the production in RM |
10 Oct 2026, 22:57
N/A
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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Full Dataset (Parquet)
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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_species.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)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_species&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)© 2026 Public Sector Open Data