United States of America (the)

Hotels (except casino hotels) and motels

Andorra

United Arab Emirates (the)

Abu Dhabi, AZ, AE

Dubai, DU, AE

Afghanistan

Antigua and Barbuda

Anguilla

Albania

Armenia

Angola

Antarctica

Argentina

Buenos Aires, C, AR

American Samoa

Austria

Wien, 9, AT

Australia

Brisbane, QLD, AU

Melbourne, VIC, AU

Perth, WA, AU

Sydney, NSW, AU

Aruba

Åland Islands

Azerbaijan

Bosnia and Herzegovina

Barbados

Bangladesh

Dhaka, 13, BD

Belgium

Bruxelles-Capitale, Région de, BE

Burkina Faso

Bulgaria

Bahrain

Al Manamah, 13, BH

Burundi

Benin

Saint Barthélemy

Bermuda

Brunei Darussalam

Bolivia, Plurinational State of

Bonaire, Sint Eustatius and Saba

Brazil

Rio de Janeiro, RJ, BR

São Paulo, SP, BR

Bahamas

Bhutan

Botswana

Belarus

Belize

Canada

Calgary, AB, CA

Edmonton, AB, CA

Kingston, NS, CA

Kelowna, BC, CA

Moncton, NB, CA

Montreal, QC, CA

Niagara Falls, ON, CA

Ottawa, ON, CA

Quebec, QC, CA

Regina, SK, CA

Saskatoon, SK, CA

Saint-John's, NL, CA

Toronto, ON, CA

Vancouver, BC, CA

Winnipeg, MB, CA

Caribbean region

Cocos (Keeling) Islands

Congo, The Democratic Republic of the

Central African Republic

Congo

Switzerland

Genève, GE, CH

Zurich, ZH, CH

Côte d'Ivoire

Cook Islands

Chile

Santiago, RM, CL

Cameroon

China

Beijing, BJ, CN

Chengdu, SC, CN

Changchun, JL, CN

Changsha, GD, CN

Chongqing, CQ, CN

Changzhou, JS, CN

Dalian, LN, CN

Dongguan, GD, CN

Foshan, GD, CN

Fuzhou, FJ, CN

Guangzhou, GD, CN

Guiyang, GZ, CN

Hangzhou, ZJ, CN

Hefei, AH, CN

Hong Kong SAR, CN

Haikou, HI, CN

Harbin, HL, CN

Huizhou, GD, CN

Huzhou, ZJ, CN

Jiaxing, ZJ, CN

Jinhua, ZJ, CN

Hotel stay

Nanjing, JS, CN

Qingdao, SD, CN

Shanghai, SH, CN

Shenzhen, GD, CN

Suzhou, GS, CN

Xian, SN, CN

Colombia

Bogotá, CUN, CO

Costa Rica

San José, SJ, CR

Cuba

Cape Verde

Curaçao

Christmas Island

Cyprus

Czechia

Germany

Berlin, BE, DE

Hamburg, HH, DE

München, BY, DE

Djibouti

Denmark

Dominica

Dominican Republic

Algeria

Ecuador

Estonia

Egypt

Western Sahara

Eritrea

Spain

Barcelona, ES

Madrid, ES

Ethiopia

Finland

Fiji

Falkland Islands (Malvinas)

Hotel stay (3 star)

Ningbo, ZJ, CN

Wuhan, HB, CN

Sanya, HI, CN

Tianjin, TJ, CN

Wuxi, JS, CN

Xiamen, FJ, CN

Praha, CZ

Düsseldorf, NW, DE

Frankfurt am Main, HE, DE

Hotel stay (4 star)

Emission intensity of supply chain (with margins i.e. cradle to shelf) in US dollars spend on: hotels (except casino hotels) and motels. This factor is representative of the described goods or services category as defined by the 2017 version of the North American Industry Classification System (NAICS). Refer to the source for the source-specific data quality assessment. Retrieved from Supply Chain Factors Dataset v1.2.

Emission intensity of supply chain in dollars spend on: accommodation. Provided by the Market Economics Limited 2023 in the Consumption Emissions Modelling report prepared for Auckland Council. Retrieved from the sheet: Cons EF 199 SUT in the excel file: consumption-emissions-modelling-market-economics-march-2023-dataset.

Accommodation

Emission intensity of supply chain in GBP spend on: accommodation services. Provided by BEIS/DEFRA in the official report on UK and England's carbon footprint to 2019. Retrieved from the UK full dataset 1990 - 2021 including conversion factors by SIC code (sheets: ghg_sic_mult and co2_sic_mult).

Accommodation services

Emission intensity of supply chain in GBP spend on: accommodation services. Provided by BEIS/DEFRA in the official report on UK and England's carbon footprint to 2020. Retrieved from the UK full dataset 1990 - 2021 including conversion factors by SIC code (sheets: ghg_sic_mult and co2_sic_mult).

Emission intensity of supply chain in GBP spend on: accommodation services. Provided by BEIS/DEFRA in the official report on UK and England's carbon footprint to 2021.

Emission intensity of supply chain (with margins i.e. cradle to shelf) in US dollars spend on: all other traveler accommodation. This factor is representative of the described goods or services category as defined by the 2017 version of the North American Industry Classification System (NAICS). Refer to the source for the source-specific data quality assessment. Retrieved from Supply Chain Factors Dataset v1.2.

All other traveler accommodation

Emission intensity of supply chain in dollars spend on: domestic accommodation services. Provided by the Market Economics Limited 2023 in the Consumption Emissions Modelling report prepared for Auckland Council. Retrieved from the sheet: Cons EF 247 NZHES in the excel file: consumption-emissions-modelling-market-economics-march-2023-dataset.

Domestic accommodation services

Emission intensity of supply chain in dollars spend on: educational accommodation. Provided by the Market Economics Limited 2023 in the Consumption Emissions Modelling report prepared for Auckland Council. Retrieved from the sheet: Cons EF 247 NZHES in the excel file: consumption-emissions-modelling-market-economics-march-2023-dataset.

Educational accommodation

Emission intensity of supply chain in dollars spend on: overseas accommodation prepaid in new zealand. Provided by the Market Economics Limited 2023 in the Consumption Emissions Modelling report prepared for Auckland Council. Retrieved from the sheet: Cons EF 247 NZHES in the excel file: consumption-emissions-modelling-market-economics-march-2023-dataset.

Overseas accommodation prepaid in New Zealand

Emission intensity of supply chain in GBP spend on: holiday in the uk/ holiday abroad/ room hire. In actual prices in £s and including VAT. Provided by BEIS/DEFRA in the official report on GHG Emissions of the UK between 1996-2018. Where source emission factors are identical across a variety of activities they have been grouped to avoid confusion - details are documented in the OEFDB data guidance. NOTE: This dataset has been deprecated by the source and will be replaced soon.

Holiday (travel/accommodation)

Emission intensity of supply chain in dollars spend on: accommodation for the aged. Provided by the Market Economics Limited 2023 in the Consumption Emissions Modelling report prepared for Auckland Council. Retrieved from the sheet: Cons EF 199 SUT in the excel file: consumption-emissions-modelling-market-economics-march-2023-dataset.

Accommodation for the aged

Emission intensity of supply chain in dollars spend on: domestic flights and accommodation. Provided by the Market Economics Limited 2023 in the Consumption Emissions Modelling report prepared for Auckland Council. Retrieved from the sheet: Cons EF 247 NZHES in the excel file: consumption-emissions-modelling-market-economics-march-2023-dataset.

Domestic Flights and Accommodation

Emission intensity of supply chain in dollars spend on: international flights and accommodation. Provided by the Market Economics Limited 2023 in the Consumption Emissions Modelling report prepared for Auckland Council. Retrieved from the sheet: Cons EF 247 NZHES in the excel file: consumption-emissions-modelling-market-economics-march-2023-dataset.

International Flights and Accommodation

Emission intensity of supply chain in GBP spend on: social work services without accommodation. Provided by BEIS/DEFRA in the official report on UK and England's carbon footprint to 2019. Retrieved from the UK full dataset 1990 - 2021 including conversion factors by SIC code (sheets: ghg_sic_mult and co2_sic_mult).

Social work services without accommodation

Emission intensity of supply chain in GBP spend on: social work services without accommodation. Provided by BEIS/DEFRA in the official report on UK and England's carbon footprint to 2020. Retrieved from the UK full dataset 1990 - 2021 including conversion factors by SIC code (sheets: ghg_sic_mult and co2_sic_mult).

Emission intensity of supply chain in GBP spend on: social work services without accommodation. Provided by BEIS/DEFRA in the official report on UK and England's carbon footprint to 2021.

Emissions generated by the activity within the product supply chain as described in ecoinvent v3.10. This item represents the service of operating the building of a hostel a touristic accommodation classified as hostel. The operation is measures per guest night stay. The service includes energy and water consumption furniture and in-room textiles electric and electronic equipment used in guest rooms and on hostel premises (including bulbs) laundry facility cleaning and in-room consumables. Due to lack of data the following processes have been excluded: room equipment (on-table lamp door lock) bathroom equipment (showers mirrors) and  food inputs in restaurant operations. The hostel building has a lifetime of 75 years while it can host between 30 and 56 guests per night with a total lifetime capacity of 821 250 to 1 533 000. Users are prompted to consult the regional geographies offering this service for more details. The cut-off classification is allocatable product. The activity type is ordinary transforming activity. The reference product amount is 1.

Building operation - hostel (building operation - hostel)

Emissions generated by the activity within the product supply chain as described in ecoinvent v3.10. This item represents the service of operating the building of a hostel a touristic accommodation classified as hostel. The operation is measures per guest night stay. The service includes energy and water consumption furniture and in-room textiles electric and electronic equipment used in guest rooms and on hostel premises (including bulbs) laundry facility cleaning and in-room consumables. Due to lack of data the following processes have been excluded: room equipment (on-table lamp door lock) bathroom equipment (showers mirrors) and  food inputs in restaurant operations. The hostel building has a lifetime of 75 years while it can host between 30 and 56 guests per night with a total lifetime capacity of 821 250 to 1 533 000. Users are prompted to consult the regional geographies offering this service for more details. The cut-off classification is allocatable product. The activity type is market activity. The reference product amount is 1.

Building operation - hostel (market for building operation - hostel)

Emissions generated by the activity within the product supply chain as described in ecoinvent v3.10. This item represents the service of operating the building of a budget hotel a touristic accommodation classified as comfort category 3 star. The operation is measured per guest night stay. The service includes energy and water used furniture and in-room textiles electric and electronic equipment used in guest rooms and on hotel premises (including bulbs) laundry servise cleaning and in-room consumables. The food for the on-site restaurant is excluded but the water and electricity consumption for the restaurant operation and the waste being generated are also included. Parking service is only available for the Peruvian dataset. Due to lack of data the following processes have been excluded: room equipment (lamp telephone in-room safe door lock) kitchen equipment (blender iron deep fryer) and insect killer. The hotel building has a lifetime of 75 years and a capacity between 2 956 500 and 6 460 500 guest nights. Users are prompted to consult the regional geographies offering this service for more details.  The cut-off classification is allocatable product. The activity type is ordinary transforming activity. The reference product amount is 1.

Building operation - budget hotel (building operation - budget hotel)

Property	Value
Name	Hotels (except casino hotels) and motels
Sector	Restaurants and Accommodation
Category	Accommodation
Source	EPA
Region	United States of America (the) (US)
Unit Type	Money
Year	2019
LCA Activity	cradle_to_shelf

Hotels (except casino hotels) and motels

Activity summary

API Reference

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Related factors

Accommodation Emission Factors

Hotel stay

Hotel stay (3 star)

Hotel stay (4 star)