SPPI by Group (3 digits)

Data as of 4Q 2024

Services producer price index (SPPI) by MSIC group (3 digits). The table provides a preview of the full dataset using the most recent 4 quarters of data.

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How is this data produced?

The Services Producer Price Index (SPPI) measures the level of prices charged by 8 key services industries in Malaysia, relative to a base year (2010 = 100). Given that the services sector accounts for over 50% of Malaysia's GDP, the SPPI is an important policy indicator which helps gauge cost pressures before they reach consumers. The prices used in compilation of the SPPI include surcharges, but exclude discounts, rebates and taxes imposed on consumers. For a deeper understanding of the PPI compilation methodology and related concepts, please refer to the Technical Notes.

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

Data for the most recent 4 quarters may be revised in subsequent releases.

Publication(s) using this data

Services Producer Price Index, 4Q 2024, the latest edition of the monthly producer price statistics published by DOSM. OpenDOSM also features a dashboard on services producer prices where you can explore this data in a more interactive manner.

Metadata

Dataset description

Services producer price index (SPPI) by MSIC group (3 digits). The table provides a preview of the full dataset using the most recent 4 quarters of data.

Variable definitions
  • Series Type
  • Date
  • Group
  • Index
Last updated:

06 Feb 2025, 12:00

Next update:

08 May 2025, 12:00

Data source(s)
  • Department of Statistics Malaysia
License

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.

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Data
Full Dataset (CSV)

Full Dataset (CSV)

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Full Dataset (Parquet)

Full Dataset (Parquet)

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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.dosm.gov.my/ppi/sppi_3d.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

This data catalog is not available through OpenAPI as the nature of the data makes it unsuitable for API access. For the full dataset, please use the provided download link as shown in the above section.

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Department of Statistics Malaysia

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