Lookup Table: GDP

Data as of 1Q 2024

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

Method

Code

desc_en

desc_bm

productionp0GDP at purchasers' pricesKDNK pada harga pembeli
productionp1AgriculturePertanian
productionp1.1CropsTanaman
productionp1.1.1RubberGetah
productionp1.1.2Oil palmKelapa sawit
productionp1.1.3PaddyPadi
productionp1.1.4VegetablesSayur-sayuran
productionp1.1.5FruitsBuah-buahan
productionp1.1.6Food cropsTanaman makanan
productionp1.1.7Others Lain-lain
productionp1.2LivestockTernakan
productionp1.2.1PoultryTernakan ayam dan itik
productionp1.2.2 CattleLembu/ kerbau
productionp1.2.3Other livestocksTernakan lain
productionp1.3Forestry and loggingPerhutanan dan pembalakan
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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 GDP datasets made available via data.gov.my and OpenDOSM only. Furthermore, the coding employed here is similar to (but not the same as) the coding used in DOSM's GDP publications, because it has been calibrated to ensure consistency across annual and quarterly GDP publications, as well as national and state GDP publications.

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

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Publication(s) using this data

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Metadata

Dataset description

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

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

17 May 2024, 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.

Download

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/gdp/gdp_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=gdp_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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