Monthly production of farmed seaweed by state, with its wholesale and retail value.
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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 covers seaweed culture (mainly longline culture in Sabah), classified by the state where the farm is located. Production is reported by the DOF in metric tonnes of wet weight. Wholesale and retail values are the DOF's valuation of that production at wholesale and retail prices.
Monthly production is available from 2005, monthly wholesale value from 2011 and monthly retail value from 2016.
National totals may be slightly different to the sum of state values due to rounding. For Sabah in 2008, 2009 and 2016, monthly figures are an equal share of the annual total, so monthly movements in those years should not be interpreted. The DOF notes that Johor's seaweed production in 2022, 2023 and 2025 is from unregistered farmers.
Monthly production of farmed seaweed by state, with its wholesale and retail value.
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 |
state (Categorical) | State | The state where the farm is located, or Malaysia for the national total |
production (Float) | Production | Seaweed production in metric tonnes of wet weight |
wholesale_value (Float) | Wholesale Value | Wholesale value of the production in RM; available from 2011 |
retail_value (Float) | Retail Value | Retail value of the production in RM; available from 2016 |
10 Oct 2026, 22:57
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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.
Full Dataset (CSV)
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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/seaweed_production.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=seaweed_production&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)© 2026 Public Sector Open Data