Lookup Table: Labour Productivity

Data as of 4Q 2024

Lookup table, to be left-joined against other productivity datasets if specified.

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How is this data produced?

This lookup table is not part of any standardised data dictionary; it was custom-made to serve the productivity datasets made available via data.gov.my and OpenDOSM only. Furthermore, it should be noted that the coding employed here is the same as the coding used in DOSM's GDP publications, except for the manufacturing and services subsectors. This is because the groupings have been calibrated to ensure optimal suitability for the productivity datasets.

What caveats I should bear in mind when using this data?

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Metadata

Dataset description

Lookup table, to be left-joined against other productivity datasets if specified.

Variable definitions
  • Code
  • Variable Definition (EN)
  • Variable Definition (MS)
Last updated:

20 Feb 2025, 12:00

Next update:

N/A

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)

Full Dataset (CSV)

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Full Dataset (Parquet)

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/labour/productivity_lookup.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=productivity_lookup&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
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Department of Statistics Malaysia

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