CPI by Division (2-digit)
Data as of Oct 2024National-level CPI for 13 main groups of goods and services.
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How is this data produced?
The CPI measures the cost of purchasing a constant, representative 'basket' of goods and services. The quantity and quality of goods in the basket are kept constant, so that changes in the cost of the basket are purely due to price changes. The changes in the cost of this basket represent the rate of inflation. For a deeper understanding of the price collection and CPI computation methodology, please refer to the Technical Notes. Finally, it should be noted that Malaysia's CPI classification is deliberately consistent with the United Nations Classification of Individual Consumption According to Purpose (COICOP) to ensure international comparability.
What caveats I should bear in mind when using this data?
When interpreting inflation rates derived from the CPI, it is important to remember that the rate of inflation experienced by a specific individual may be higher or lower than this number. This does not invalidate the CPI, which is meant to be an average value representative of the entire population.
Publication(s) using this data
Consumer Price Index, Oct 2024, the latest edition of the monthly consumer price statistics published by DOSM. OpenDOSM also features a dashboard on consumer prices.
Metadata
Dataset description
National-level CPI for 13 main groups of goods and services.
Variable definitions
- Date
- Division
- Index
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 as the data is at monthly frequency |
division (String) | Division | 2-digit code from 01-13 or 'overall', to be matched using the 'division' column in the MCOICOP Lookup. The MCOICOP lookup table will give you the English and Malay definitions. |
index (Float) | Index | Index value, with base 2010 = 100 |
Last updated:
22 Nov 2024, 12:00
Next update:
20 Dec 2024, 12:00
Data source(s)
- Department of Statistics Malaysia
URLs to dataset
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/cpi/cpi_2d.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=cpi_headline&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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