OpenDOSM

CPI: Miscellaneous Goods & Services

Data as of 31 Dec 2022, 23:59

Index, with base 2010 = 100

How is this data produced?

The index is compiled based on the average price change for Miscellaneous Goods & Services 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).

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: Miscellaneous Goods & Services
  • 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: Transport
  • CPI: Communication
  • CPI: Recreation Services & Culture
  • CPI: Education
  • CPI: Restaurants & Hotels
Last updated

20 Jan 2023, 12:00

Next update

24 Feb 2023, 12:00

Data source(s)
  • DOSM
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)