Overall
Data as of 30 Jun 2023, 23:59Amount in RM mil; real GDP is produced with reference to a base of 2015.
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How is this data produced?
GDP is the total value of all goods and services produced in a certain period after deducting the cost of goods and services used up in the process of production. This value is before deducting the allowances for consumption of fixed capital i.e. the sum of value added of resident producer in producer's price plus import duties. GDP is equivalent to expenditure on the GDP (in purchaser's price) i.e. the sum of all components of final expenditure on goods and services less imports of goods and services.
What caveats I should bear in mind when using this data?
Quarterly and annual estimates are reconciled where necessary. In situation, whereby the annual and quarterly accounts uses the same data sources, no reconciliation of the quarterly need to be made to fit the annual accounts.
Publication(s) using this data
Gross Domestic Product, 2Q 2023, the latest edition of the quarterly GDP statistics published by DOSM. Bank Negara Malaysia's Quarterly Bulletin, 2Q 2023 also provides a summary of the latest release. For an interactive look, check out OpenDOSM's GDP dashboard.
Metadata
Dataset description
This publication contains statistics of quarterly national accounts estimates by economic activity and type of expenditure in both current and constant prices at base year 2015.
Variable definitions
- Series Type
- Date
- By Activity > Agriculture
- By Activity > Mining
- By Activity > Manufacturing
- By Activity > Construction
- By Activity > Services
- By Activity > Import Duties
- By Expenditure > Private Consumption
- By Expenditure > Government Spending
- By Expenditure > GFCF
- By Expenditure > Exports
- By Expenditure > Imports
- By Expenditure > Net Exports
- By Expenditure > Change in Inventories
- Overall
Last updated:
18 Aug 2023, 12:00
Next update
11 Nov 2023, 12:00
Data source(s)
- DOSM
License
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A human-readable copy of the license is available Here.
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Data
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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.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=gdp&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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