OpenDOSM

PPI: Agriculture, Forestry & Fishing

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 commodities in Agriculture, forestry and fishing sector charged by domestic producers of an industry.

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

This data is produced by DOSM as part of Malaysia's official statistics. It should be interpreted carefully if used in further analysis.

Publication(s) using this data

Producer Price Index for Malaysia, December 2022, the latest edition of the monthly producer price statistics published by DOSM.

Metadata

Dataset description

The publication of Producer Price Index (PPI) Local Production is a monthly publication that presents statistics covering five main sectors namely agriculture, forestry and fishing, mining, manufacturing, electricity and gas supply, and water supply. The PPI is compiled based on the data from the Producer Price Survey which is conducted on a monthly basis.

Variable definitions
  • PPI: Agriculture, Forestry & Fishing
  • PPI (Producer Price Index)
  • PPI: Mining
  • PPI: Manufacturing
  • PPI: Electricity & Gas Supply
  • PPI: Water Supply
  • Date
Last updated

30 Jan 2023, 12:00

Next update

27 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/ppi.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)