OpenDOSM

Core CPI: Furnishings, Household Equipment & Routine Household Maintenance

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 Furnishings, Household Equipment & Routine Household Maintenance items collected according to price collection centers in each state in Malaysia.

What caveats I should bear in mind when using this data?

Core inflation measures changes in the prices of all goods and services, excluding volatile items of fresh food as well as administered prices of goods by the government.

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
  • Core CPI: Furnishings, Household Equipment & Routine Household Maintenance
  • Date
  • Core CPI
  • Core CPI: Food & Non-Alcoholic Beverages
  • Core CPI: Clothing & Footwear
  • Core CPI: Housing, Water, Electricity, Gas & Other Fuels
  • Core CPI: Health
  • Core CPI: Transport
  • Core CPI: Communication
  • Core CPI: Recreation Services & Culture
  • Core CPI: Education
  • Core CPI: Restaurants & Hotels
  • Core CPI: Miscellaneous Goods & Services
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_core.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)