Climatiq
About Climatiq
Emissions from an average commute for different UK regions. Uses UK Government emissions factors and travel data from UK Government and Northern Ireland Statistics and Research Agency.
Visit Climatiq websiteDatasets from Climatiq
Commuting
| Property | Value |
|---|---|
| Description | Emissions from an average commute for different UK regions. Uses UK Government emissions factors and travel data from UK Government and Northern Ireland Statistics and Research Agency. |
| Source type | Corporate |
| Original dataset URL | URL |
| Year released | 2025 |
| Geography | GB |
| Sector | |
| Type of data | Activity-based |
| Emission results | CO2e |
| Data Transformation | NA |
License
| Property | Value |
|---|---|
| Type of license | Creative Commons Attribution 4.0 International (CC BY 4.0) |
| License URL | URL |
Data quality
| Property | Value |
|---|---|
| Data quality assurance | Created by Climatiq |
| Quality flag(s) | NA |
Methodology
| Property | Value |
|---|---|
| IPCC AR method |
|
| LCA boundary |
|
| Scope applicability |
|
| Emissions breakdown |
|
| Methodology description | Climatiq has created emission factors for an average commute in different regions of the UK using publicly available data. These are intended to give a first, screening-level estimate of commuting emissions where no other data is available. The emission factors represent one day’s two-way commute. The distances traveled by each mode of transport are derived from the tables listed below. The final commuting emission factors are calculated by multiplying these distances (km) by the emission factor values (CO2e per km or passenger-km) for each mode of transport. They include upstream emissions from fuel production. Sources of data UK Government: Transport data is for 2023 https://www.gov.uk/government/statistical-data-sets/tsgb01-modal-comparisons https://www.gov.uk/government/statistical-data-sets/nts99-travel-by-region-and-area-type-of-residence Northern Ireland Government: Transport data is for 2021 https://www.infrastructure-ni.gov.uk/publications/travel-survey-northern-ireland-tsni-depth-report-2021 |
Explore the Climatiq dataset
Featured Emission Factors in Climatiq
Explore All- Go to Machinery / equipment not specific
Machinery / equipment not specific
Equipment Equipment - Go to Textiles
Textiles
Consumer Goods and Services Consumer Goods and Services - Go to Other manufactured goods
Other manufactured goods
Materials and Manufacturing Materials and Manufacturing - Go to Fabricated metal products (except machinery and equipment and weapons / ammunition)
Fabricated metal products (except machinery and equipment and weapons / ammunition)
Materials and Manufacturing Materials and Manufacturing - Go to Education services
Education services
Education Education - Go to District heating
District heating
Energy Energy
Other Sources
Explore All- Go to ISPRA
ISPRA
ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale) is the Italian Institute for Environmental Protection and Research, a public body that provides official annual emission factors for electricity production in Italy based on the national electricity mix and greenhouse gas inventory data.
- Go to GEMIS
GEMIS
GEMIS, or the Global Emission Model for Integrated Systems, is a comprehensive life cycle assessment (LCA) software tool developed by IINAS, the Institute for Integrated Environmental Assessments. The tool is designed to analyse and model the environmental impacts of various technologies, products, and services. GEMIS covers a wide range of sectors, including energy, transport, materials, and agriculture, among others, providing reliable and consistent emission factors.
- Go to Ember
Ember
Ember is an independent non-profit energy think tank that publishes open electricity emission factors, calculated by combining country-level power generation data with fuel-specific emissions coefficients to estimate total emissions and carbon intensity, as described in its methodology document: https://files.ember-energy.org/public-downloads/ember_electricity_data_methodology.pdf