Greenhouse Gas Emissions
Data as of 2023Annual greenhouse gas (GHG) emissions by source.
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How is this data produced?
Official data on GHG emissions is compiled by the Ministry of Natural Resources and Environmental Sustainability (NRES) for Malaysia's national greenhouse gas inventory, following the 2006 Intergovernmental Panel on Climate Change (IPCC) Guidelines for National Greenhouse Gas Inventories, and reported to the United Nations Framework Convention on Climate Change (UNFCCC). Data up to 2021 is as submitted by Malaysia to the UNFCCC in the Common Reporting Tables accompanying its First Biennial Transparency Report (BTR1) in December 2024, with emissions of all gases converted to CO₂ equivalent using the 100-year global warming potentials of the IPCC Fifth Assessment Report (AR5). The GHG emissions data is derived from multiple sectors including energy, industrial processes and product use, agriculture, waste, as well as land use, land-use change, and forestry (LULUCF). LULUCF data reflects both emissions and removals based on land management practices, contributing to the net emissions calculations.
What caveats I should bear in mind when using this data?
Values for 2022 and 2023 are estimates and may be revised when the national inventory for those years is published. LULUCF, and therefore net emissions, are not available for 2022 and 2023. Figures follow the Common Reporting Tables and may differ from the summary tables printed in the BTR1 report.
Publication(s) using this data
Malaysia's First Biennial Transparency Report (BTR1) under the UNFCCC, published by NRES.
Metadata
Dataset description
Annual greenhouse gas (GHG) emissions by source.
Variable definitions
- Date
- Source
- Emissions
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 since the data is at annual frequency |
source (Categorical) | Source | Either total emissions excluding LULUCF ('total'), net emissions including LULUCF ('net'), or the source of emissions ('energy', 'industrial_processes', 'agriculture', 'waste', 'lulucf'). It should be noted that although LULUCF values can, in principle, be positive (representing emissions) or negative (representing removals), the values for Malaysia are all negative. |
emissions (Float) | Emissions | The amount of GHG emissions in gigagrams (Gg) of CO₂ equivalent (CO₂e). |
Last updated:
11 Oct 2026, 12:00
Next update:
31 Dec 2027, 18:00
Data source(s)
- Ministry of Natural Resources & Environmental Sustainability
- Department of Statistics Malaysia
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)
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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.data.gov.my/environment/ghg_emissions.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=ghg_emissions&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Department of Statistics Malaysia
© 2026 Department of Statistics Malaysia
Open Data
data.gov.my