China

Iran, Islamic Republic of

Italy

Pakistan

Thailand

Rice grain (in husk) flooded

Brazil

Costa Rica

Ecuador

Banana fruit

France

Global

Bagel

Brioche

Emission intensity of rice grain (in husk) flooded. The CH4 value represents total emissions including both fossil and non-fossil sources. Other GHG gases have been aggregated by combining contributions from multiple emission sources. The standard deviation for this emission factor is . Data retrieved from the file Emission-Factor-Database-v2.0.xlsx  from the sheet: emissions_database_hestia published by WRAP version 2.

Emission intensity of rice grain (in husk) flooded. The values for CO2 CH4 and N2O represent total emissions calculated by combining contributions from multiple emission sources specific to agricultural and industrial activities. The standard deviation for this emission factor is . Data retrieved from the file Emission-Factor-Database-v2.0.xlsx  from the sheet: emissions_database_hestia published by WRAP version 2.

Emission intensity of supply chain (with margins i.e. cradle to shelf) in US dollars spend on: all other miscellaneous food manufacturing. 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 miscellaneous food manufacturing

Emission intensity of supply chain (with margins i.e. cradle to shelf) in US dollars spend on: all other miscellaneous food manufacturing. 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 v1.3.

Emission intensity of supply chain (with margins i.e. cradle to shelf) in US dollars spend on: all other specialty food stores. 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 specialty food stores

Emission intensity of supply chain (with margins i.e. cradle to shelf) in US dollars spend on: all other specialty food stores. 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 v1.3.

Emission intensity of supply chain in dollars spend on: baby and invalid food. 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.

Baby and invalid food

Emission intensity of the supply chain per Canadian dollar spent on: dog and cat food. Retrieved from the OpenIO-Canada v2.9 model which is a Canadian Environmentally Extended Input-Output (EEIO) model. The emission factor is provided in purchaser price including taxes retail margins and distribution costs. Endogenization is not included meaning the emission factor does not account for capital goods.

Dog and cat food

Emission intensity of the supply chain per Canadian dollar spent on: dog and cat food. Retrieved from the OpenIO-Canada v2.9 model which is a Canadian Environmentally Extended Input-Output (EEIO) model. The emission factor is provided in purchaser price including taxes retail margins and distribution costs. Endogenization is included meaning the emission factor also accounts for capital goods.

Property	Value
Name	Rice grain (in husk) flooded
Sector	Agriculture/Hunting/Forestry/Fishing
Category	Food Production
Source	WRAP
Region	China (CN), Iran, Islamic Republic of (IR), Italy (IT), Pakistan (PK), Thailand (TH)
Unit Type	Weight
Year	2024
LCA Activity	farm, farm_input

Emission Factor Name	Region	Source	Year	Unit
Rice grain (in husk) flooded	China	WRAP	2024	Weight
Rice grain (in husk) flooded	China	WRAP	2024	Weight
Rice grain (in husk) flooded	Iran, Islamic Republic of	WRAP	2024	Weight
Rice grain (in husk) flooded	Iran, Islamic Republic of	WRAP	2024	Weight
Rice grain (in husk) flooded	Italy	WRAP	2024	Weight
Rice grain (in husk) flooded	Italy	WRAP	2024	Weight
Rice grain (in husk) flooded	Pakistan	WRAP	2024	Weight
Rice grain (in husk) flooded	Pakistan	WRAP	2024	Weight
Rice grain (in husk) flooded	Thailand	WRAP	2024	Weight
Rice grain (in husk) flooded	Thailand	WRAP	2024	Weight
All other miscellaneous food manufacturing	United States of America (the)	EPA	2019	Money
All other miscellaneous food manufacturing	United States of America (the)	EPA	2022	Money
All other specialty food stores	United States of America (the)	EPA	2019	Money
All other specialty food stores	United States of America (the)	EPA	2022	Money
Baby and invalid food	New Zealand	Market Economics Limited	2019	Money
Dog and cat food	Alberta, CA	OpenIO-Canada	2018	Money
Dog and cat food	Alberta, CA	OpenIO-Canada	2018	Money
Dog and cat food	Alberta, CA	OpenIO-Canada	2019	Money
Dog and cat food	Alberta, CA	OpenIO-Canada	2019	Money
Dog and cat food	Alberta, CA	OpenIO-Canada	2020	Money

Rice grain (in husk) flooded

Activity summary

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Related factors

Food Production Emission Factors

Banana fruit

Bagel

Brioche