Monthly Prices of Marine Fish by Market Level & Species
Data as of Dec 2025Monthly average ex-vessel, wholesale and retail prices of fresh marine fish in Malaysia by species, in RM per kg.
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How is this data produced?
Data on fish prices in Malaysia is collected by the Department of Fisheries (DOF) as part of its fisheries statistics, and published in the Annual Fisheries Statistics (Perangkaan Perikanan Tahunan). Prices are recorded at three levels of the supply chain: at landing (the ex-vessel price paid to fishermen when the catch is landed), at wholesale, and at retail. Each value is the average price for the species in the month, in RM per kilogram of fresh fish, for Malaysia as a whole.
What caveats I should bear in mind when using this data?
Months in which no price was recorded for a species are not included. The list of species has changed over time; some species have been split into separate species or into size grades (large, medium, small), which are published as separate categories.
Metadata
Dataset description
Monthly average ex-vessel, wholesale and retail prices of fresh marine fish in Malaysia by species, in RM per kg.
Variable definitions
- Date
- Market Level
- Species
- Price
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 as the data is at monthly frequency |
level (Categorical) | Market Level | The point in the supply chain at which the price is recorded; either the price at landing paid to fishermen ('ex_vessel'), the wholesale price ('wholesale') or the retail price ('retail') |
species (Categorical) | Species | The species or species group of fish, crustacean or mollusc, as classified by DOF |
price (Float) | Price | Monthly average price in RM per kilogram |
Last updated:
10 Oct 2026, 22:57
Next update:
N/A
Data source(s)
- Department of Fisheries
URLs to dataset
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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Data
Full Dataset (CSV)
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Full Dataset (Parquet)
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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/fish_prices.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=fish_prices&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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