This table provides a complete lookup for 2, 3, 4, and 5-digit codes under Malaysia's COICOP (Classification of Individual Consumption According to Purpose), as applied and used in data publications in Malaysia. The MCOICOP is primarily used by the Department of Statistics Malaysia (DOSM), for instance when categorising and analysing consumer price inflation.
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The MCOICOP was adapted from the latest COICOP published by the United Nations Statistics Division, which is used as a global reference in the classification of individual and household consumption.
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This table provides a complete lookup for 2, 3, 4, and 5-digit codes under Malaysia's COICOP (Classification of Individual Consumption According to Purpose), as applied and used in data publications in Malaysia. The MCOICOP is primarily used by the Department of Statistics Malaysia (DOSM), for instance when categorising and analysing consumer price inflation.
Name in Dataset | Variable | Definition |
---|---|---|
digits (Integer) | Digits | Number of digits; this column can be used as a filter if you only want to keep 2 digit codes, for example |
division (String) | Division | 2-digit code; please ensure that you read this column as a string, because the (intentional) leading zeroes will be dropped if read as an integer (e.g. upon opening in Microsoft Excel) |
group (String) | Group | 3-digit code, with dashes where not applicable (e.g. for rows providing 2-digit definitions) |
class (String) | Class | 4-digit code, with dashes where not applicable (e.g. for rows providing 2 and 3-digit definitions) |
subclass (String) | Subclass | 5-digit code, with dashes where not applicable (e.g. for rows providing 2 and 3-digit definitions) |
desc_en (String) | Description (EN) | Description for the code, in English |
desc_bm (String) | Description (BM) | Description for the code, in Malay |
16 Apr 2024, 00:00
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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.
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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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/dictionaries/mcoicop.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
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=mcoicop&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Department of Statistics Malaysia
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