Weekly retail prices of RON95 petrol, RON97 petrol, and diesel in Malaysia.
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This dataset presents the weekly retail price of RON95 petrol, RON97 petrol, and diesel in Malaysia. Since April 2017, the retail price of fuel in Malaysia has been set on a weekly basis (except for a short period at the end of 2018 where it was announced monthly) using the Automatic Pricing Mechanism (APM). The APM is designed to allow the government to monitor the effects of changes in global crude oil prices and adjust retail fuel prices to ensure the continued welfare of the rakyat.
The following information should be incorporated into any analysis of fuel prices in Malaysia:
MoF's weekly press statement on the retail price of petroleum products.
Weekly retail prices of RON95 petrol, RON97 petrol, and diesel in Malaysia.
Name in Dataset | Variable | Definition |
---|---|---|
series_type (categorical) | Chart Type | Price in RM (level), or weekly change in RM (change_weekly). |
date (Date) | Date | The date of effect of the price, in YYYY-MM-DD format |
ron95 (Float) | RON95 Petrol Price | Price per litre of RON95 petrol, in RM |
ron97 (Float) | RON97 Petrol Price | Price per litre of RON97 petrol, in RM |
diesel (Float) | Price of Diesel (Peninsular Malaysia) | Price per litre of diesel in Peninsular Malaysia, in RM |
diesel_eastmsia (Float) | Price of Diesel (East Malaysia) | Price per litre of diesel in East Malaysia, in RM |
04 Dec 2024, 23:59
11 Dec 2024, 23:59
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/commodities/fuelprice.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=fuelprice&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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