Producer Price Index
Data as of Mar 2024Producer prices for five main sectors namely agriculture, forestry and fishing, mining, manufacturing, electricity and 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, Mar 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 and fishing, mining, manufacturing, electricity and 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:
26 Apr 2024, 12:00
Next update:
28 May 2024, 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 copy of the license is available Here.
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Data
Full Dataset (CSV)
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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
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
© 2024 Public Sector Open Data
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