Quarterly Real GDP (Seasonally Adjusted)
Data as of 2Q 2024Seasonally adjusted quarterly gross domestic product (GDP) at constant 2015 prices.
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How is this data produced?
Gross domestic product (GDP) is the total value of goods and services produced within that year, after deducting the cost of goods and services used in production, but before deducting the consumption of fixed capital. In Malaysia, GDP is estimated in compliance with the System of National Accounts (2008).
The values in this dataset are measured at constant 2015 prices, i.e. with price effects removed relative to a base year (2015 = 100). Seasonal adjustment was conducted using X-12-ARIMA, augmented with the Seasonal Adjustment for Malaysia (SEAM) procedure to account for moving holiday effects specific to Malaysia's unique multicultural national calendar. For a full description of the methodology, please refer to the Technical Notes.
What caveats I should bear in mind when using this data?
Values for 2022, 2023 and 2024 may be revised in future releases.
Publication(s) using this data
Gross Domestic Product, 2Q 2024, the latest edition of the quarterly GDP statistics published by DOSM. OpenDOSM also features a dashboard on GDP which enables you to explore Malaysia's GDP data interactively.
Metadata
Dataset description
Seasonally adjusted quarterly gross domestic product (GDP) at constant 2015 prices.
Variable definitions
- Series Type
- Date
- Value
Name in Dataset | Variable | Definition |
|---|---|---|
series (String) | Series Type | Series type, either absolute values ('abs') or quarter-on-quarter growth ('growth_qoq') |
date (Date) | Date | The date in YYYY-MM-DD format. The earliest date in the quarter is chosen, e.g. YYYY-01-01 for the 1st quarter and YYYY-04-01 for the 2nd quarter. |
value (Float) | Value | Either the value of GDP in RM millions (for rows with series type 'abs') or GDP growth as a percentage (for rows with series type 'growth_qoq') |
Last updated:
16 Aug 2024, 12:00
Next update:
15 Nov 2024, 12:00
Data source(s)
- DOSM
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/gdp/gdp_qtr_real_sa.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_qtr_real_sa&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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