Agriculture, Forestry & Fishing

Data as of 31 Jul 2023, 23:59

Index, with base 2010 = 100

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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, July 2023, the latest edition of the monthly producer price statistics published by DOSM. OpenDOSM also features a dashboard on producer prices.

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
Last updated:

28 Aug 2023, 12:00

Next update

25 Sept 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.

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

Sample OpenAPI query

The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API documentation.
import requests import pprint url = "https://api.data.gov.my/data-catalogue?id=ppi&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
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Government of Malaysia

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