EXIOBASE
About EXIOBASE
EXIOBASE is a global, detailed Multi-Regional Environmentally Extended Supply-Use Table (MR-SUT) and Input-Output Table (MR-IOT). It was developed by harmonising and detailing supply-use tables for a large number of countries, estimating emissions and resource extractions by industry. Subsequently, the country supply-use tables were linked via trade creating an MR-SUT and producing MR-IOTs from this. The MR-IOT can be used for the analysis of the environmental impacts associated with the final consumption of product groups. The EXIOBASE emission factors use basic prices. The basic price represents the initial cost set by a producer for a product or service, without additional fees like taxes or delivery costs (referred to as tax and transport margins). The values in the Climatiq Database might not be exactly the same as the ones you find on the EXIOBASE download page due to the prices used.
Visit EXIOBASE websiteDatasets from EXIOBASE
EXIOBASE 3.11 - Industry
| Property | Value |
|---|---|
| Description | EXIOBASE is a global, detailed Multi-Regional Environmentally Extended Supply-Use Table (MR-SUT) and Input-Output Table (MR-IOT). It was developed by harmonising and detailing supply-use tables for a large number of countries, estimating emissions and resource extractions by industry. Subsequently, the country supply-use tables were linked via trade creating an MR-SUT and producing MR-IOTs from this. The MR-IOT can be used for the analysis of the environmental impacts associated with the final consumption of product groups. The EXIOBASE emission factors use basic prices. The basic price represents the initial cost set by a producer for a product or service, without additional fees like taxes or delivery costs (referred to as tax and transport margins). The values in the Climatiq Database might not be exactly the same as the ones you find on the EXIOBASE download page due to the prices used. |
| Source type | Academic |
| Original dataset URL | URL |
| Year released | 2025 |
| Geography | Multiple regions |
| Sector | |
| Type of data | Spend-based |
| Emission results | CO2e |
| Data Transformation | Source reports emissions in t CO2e/Million Euro, which have been converted to kg CO2e/Euro |
License
| Property | Value |
|---|---|
| Type of license | Commercial license (purchased) |
| License URL | URL |
Data quality
| Property | Value |
|---|---|
| Data quality assurance | Vetted by Climatiq. For further information on data quality assurance, see: https://www.climatiq.io/methodology#Data-Quality |
| Quality flag(s) | Methodology Some emission factors are marked as outliers by the source and use the average regional value or a World average if the former doesn't exist. |
Methodology
| Property | Value |
|---|---|
| IPCC AR method |
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| LCA boundary |
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| Scope applicability |
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| Emissions breakdown |
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| Methodology description | EXIOBASE is a global Environmentally Extended Multi-Regional Input-Output (EE-MRIO) database that links economic activity across industries and countries to greenhouse gas emissions. It covers 44 countries (28 EU member states plus 16 major economies) and five aggregated Rest of World regions, representing approximately 95% of global GDP, using a classification of 163 industries and 200 product categories. Emission factors capture full upstream supply chain emissions — from raw material extraction through all intermediate processing stages — by tracing all inter-industry dependencies in the input-output model. Factors represent the average emissions intensity of an entire sector or product category in a given region, expressed in basic prices (EUR). Version 3.11 is the latest release, introducing a 2023 base year, built-in region-specific inflation correction, and country-specific coefficients to convert factors between basic and purchaser prices. Four factor types are available depending on whether the producer or consumption location is known: Standard, Standard Regional, Market-average, and Market-average Regional. EXIOBASE is compliant with the GHG Protocol and is recommended for Scope 3 categories 1 (purchased goods and services) and 2 (capital goods) spend-based reporting. FLAG values were calculated by Climatiq as the sum of FLAG (excl. LUC) emissions and deforestation emissions across Scopes 1, 2, and 3. LUC values represent deforestation emissions only, with no carbon removals included. |
Explore the EXIOBASE dataset
Featured Emission Factors in EXIOBASE
Explore All- Go to Hotel and restaurant services
Hotel and restaurant services
Restaurants and Accommodation Restaurants and Accommodation - Go to Cultivation of vegetables / fruit / nuts
Cultivation of vegetables / fruit / nuts
Agriculture/Hunting/Forestry/Fishing Agriculture/Hunting/Forestry/Fishing - Go to Rubber and plastic products
Rubber and plastic products
Materials and Manufacturing Materials and Manufacturing - Go to Food products (not elsewhere specified)
Food products (not elsewhere specified)
Consumer Goods and Services Consumer Goods and Services - Go to Construction work
Construction work
Buildings and Infrastructure Buildings and Infrastructure - Go to Other waste for treatment: waste water treatment
Other waste for treatment: waste water treatment
Waste Waste
Other Sources
Explore All- Go to CAEP
CAEP
The Chinese Academy of Environmental Planning (CAEP) is a public institution that conducts crucial research and offers policy recommendations on environmental issues to the Chinese government and corporations, playing a significant role in developing China's environmental strategies.
- Go to UNEP
UNEP
The United Nations Environment Programme (UNEP) is the United Nations’ leading global authority on the environment driving transformational change on the planetary crisis. The Ozone Secretariat publishes data on gases regulated under the Montreal Protocol.
- Go to ICM Database
ICM Database
The Integrated Carbon Metrics (ICM) Database is an Australian-specific life cycle inventory providing carbon footprint intensities for construction and building materials. It includes results from both a process method (based on AusLCI process data) and a hybrid method (combining process data with input-output data to capture upstream activities).