OpenDOSM
CPI: Transport
Data as of 30 Apr 2023, 23:59Index, with base 2010 = 100
How is this data produced?
The index is compiled based on the average price change for Transport items collected according to price collection centers in each state in Malaysia.
What caveats I should bear in mind when using this data?
This index is compiled based on Classification of Individual Consumption According to Purpose (COICOP) at 2 digit level (Main Group).
Publication(s) using this data
Consumer Price Index, April 2023, the latest edition of the monthly consumer price statistics published by DOSM. OpenDOSM also features a dashboard on consumer prices.
Metadata
Dataset description
Malaysia's Consumer Price Index (CPI) is a monthly publication which presents statistics covering 12 main groups of goods and services. This is consistent with the classification according to the United Nations "Classification of Individual Consumption According to Purpose (COICOP)".
Variable definitions
- CPI: Transport
- Date
- CPI (Consumer Price Index)
- CPI: Food & Non-Alcoholic Beverages
- CPI: Alcoholic Beverages & Tobacco
- CPI: Clothing & Footwear
- CPI: Housing, Water, Electricity, Gas & Other Fuels
- CPI: Furnishings, Household Equipment & Routine Household Maintenance
- CPI: Health
- CPI: Communication
- CPI: Recreation Services & Culture
- CPI: Education
- CPI: Restaurants & Hotels
- CPI: Miscellaneous Goods & Services
Last updated
26 May 2023, 12:00
Next update
23 Jun 2023, 12:00
Data source(s)
- DOSM
URLs to dataset
License
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A human-readable copy of the license is available Here.
Download
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.googleapis.com/dosm-public-economy/cpi_headline.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Department of Statistics Malaysia
© 2023 Department of Statistics Malaysia (DOSM)