Producer Price Index
Data as of Sept 2024Producer prices for five main sectors namely agriculture, forestry & fishing, mining, manufacturing, electricity & gas supply and water supply.
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How is this data produced?
The index is compiled based on the change in the average price of commodities 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, Sep 2024, the latest edition of the monthly producer price statistics published by DOSM. OpenDOSM also features a dashboard on producer prices.
Metadata
Dataset description
Producer prices for five main sectors namely agriculture, forestry & fishing, mining, manufacturing, electricity & gas supply and water supply.
Variable definitions
- Date
- PPI (Producer Price Index)
- Agriculture, Forestry & Fishing
- Mining
- Manufacturing
- Electricity & Gas Supply
- Water Supply
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 |
overall (Float) | PPI (Producer Price Index) | Index, with base 2010 = 100 |
agriculture (Float) | Agriculture, Forestry & Fishing | Index, with base 2010 = 100 |
mining (Float) | Mining | Index, with base 2010 = 100 |
manufacturing (Float) | Manufacturing | Index, with base 2010 = 100 |
electricity (Float) | Electricity & Gas Supply | Index, with base 2010 = 100 |
water (Float) | Water Supply | Index, with base 2010 = 100 |
Last updated:
28 Oct 2024, 12:00
Next update:
27 Nov 2024, 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)
Recommended for individuals seeking an Excel-friendly format.
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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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)
Department of Statistics Malaysia
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