The tool estimates the carbon footprint of a single or multiple hotel room nights and meeting spaces across the world. Companies can use this information to calculate the carbon footprint of hotel stays or meetings during business travels for Scope 3 reporting and offsetting, or to provide clients with information when booking hotels or offsetting carbon on their behalf.

The tool outputs the median carbon footprint in specified geographical locations, and users can filter for hotels by the number of Expedia Stars. It calculates the carbon footprint using the Hotel Carbon Measurement Initiative (HCMI) methodology; ideal for corporate reporting and calculating the amount of carbon to offset.

HCMI is the industry-accepted methodology to measure and compare scope 1 and 2 greenhouse gas emissions of hotels. It includes emissions related to fuels burned on site (e.g. in gas boilers and company vehicles) and electricity used on site. It also accounts for emissions related to any outsourced laundry and refrigerants (e.g. used in air conditioning). For more information, please visit the Sustainable Hospitality Alliance’s webpage.

The data is from the Cornell Hotel Sustainability Benchmarking Tool (CHSB) 2026 data set (based on 2024 data), with over 31,500 hotels in over 1,000 geographies.

The CHSB data set, along with the accompanying guidance document outlining the methodology, are freely available online through the Cornell University Center for Hospitality Research or here.

The minimum threshold is five properties for market areas and eight properties for all other geographies (i.e. country, state, province). If a particular segment within a market contained at least five properties, or if a particular segment within a region, country, and climate zone contained at least eight properties, the results were included. On the other hand, data for geographies that did not meet the minimum threshold were excluded from the final outputs.

Some countries will not have actual median figures available, due to limitations in the raw data received for CHSB. The carbon footprint per occupied room (kg CO2e) [Measure 1] and the carbon footprint per sqm/hour of meeting space (kg CO2e) [Measure 7] for these countries are extrapolated using the following data points:

• the global average carbon footprint per occupied room (kg CO2e) [Measure 1]
• the global average carbon footprint per sqm/hour of meeting space (kg CO2e) [Measure 7]
• the percentage of energy from electric sources for each country
• the percentage of energy from non-electric sources for each country
• the purchased electricity emission factor for each country
• the global weighted average of purchased electricity emission factors

For more information on the data set and the extrapolation methodology, please contact us at data@greenview.sg.

While we understand that global extrapolations are broad and high-level figures, we believe that the HFT produces more accurate and reliable data than other existing hotel footprinting methods because of the extensive CHSB source data. Furthermore, as the CHSB data set grows in reach and depth over time, we will be able to reduce extrapolation while expanding coverage in the remaining countries that still require it.

Actual Data

• Indicates that figures were available in the source data received from the Cornell Hotel Sustainability Benchmarking Tool (CHSB) 2026 data set (2024 data).

Extrapolated Data

• Proxy country/group of countries were used to estimate the figure using the extrapolation methodology explained above in Section 5 for countries that lack the minimum number of properties to generate a median figure.

Extrapolation by Stars, within a specific country
Average of 2 Stars and 4 Stars

• The average of 2 Stars and 4 Stars coefficients was calculated and used as a proxy to fill in the gap in the 3 Stars coefficient for a specific country.

Average of 3 Stars and 5 Stars

• The average of 3 Stars and 5 Stars coefficients was calculated and used as a proxy to fill in the gap in the 4 Stars coefficient for a specific country.

Extrapolation based on other countries
Climate Grouping Extrapolation

• Countries from the same climate zone are grouped together and used as a proxy.

Country Grouping Extrapolation

• Countries from the same location are grouped together and used as a proxy.

Global Extrapolation

• Countries that lack sufficient properties use global averages.

Partial Data Extrapolation

• Data may be extrapolated using available star segment coefficients within the same country.

Under the GET THE RESULT section, below the text “Rooms Footprint” and “Meeting Footprint”, the following text is displayed to state the data status:

• Available data: Singapore (Actual) all hotels, City Data
• Available data: Albania (Climate Grouping Extrapolation) all hotels, Country Data

The publishing cycle for the Cornell Hotel Sustainability Benchmarking Tool (CHSB) takes up to two years, which includes data collection from major hotel chains, data aggregation, validity testing and analysis, data verification, and publishing of the report.

The benchmarking data for CHSB2026 (2024 data) includes 31,500+ hotels from 33 international hotel chains including ACCOR, Banyan Group, Centara Hotels & Resorts, citizenM, DiamondRock, Eaton DC, FIVE Holdings, Four Seasons, Hilton, Hyatt, IHG, Mandarin Oriental, Marriott, Millennium Hotels and Resorts, Park Hotel Group, Radisson, Six Senses, The Ascott Limited, and others.

Data sets are updated annually. The next update will be available in the first quarter of 2027 with the 2025 calendar year dataset.

If a country does not have granular level data (e.g. metropolitan statistical areas), a default value for the entire country is provided.

The Hotel Footprinting Tool calculates the carbon footprint of hotel stays based on the number of rooms occupied, which you can derive by multiplying the number of rooms and the number of nights. The tool does not take into account the number of guests occupying each room.

• If you are occupying 1 room for 2 nights, the total occupied rooms would be 2 occupied rooms.
• If you are occupying 2 rooms for 5 nights, the total occupied rooms would be 10 occupied rooms.

The tool is updated annually to represent the latest CHSB dataset. If users wish to make calculations for prior years, please contact Greenview to request the HFT bulk data set.

Please use the following citation for footprinting:

• Hotel Footprinting Tool, V[version number]. HCMI values obtained using [indicate hotel type] hotel type and median, www.hotelfootprints.org, retrieved [date].
• Example: Hotel Footprinting Tool, V3.0. HCMI values obtained using all hotel type and median, www.hotelfootprints.org, retrieved 10 March 2026.

Submit data by participating in Cornell Hotel Sustainability Benchmarking (CHSB). For more information, refer to the CHSB webpage or email us at info@greenview.sg and we will send a template for you to fill in the data.

Please email us at info@greenview.sg and we will be happy to receive your feedback to help us improve the tool.