The OECD food waste dataset is a compilation of available data related to food loss and food waste for 32 countries. The period covered may vary across different countries depending on data availability (globally ranging from 1993 to 2013).
Several types of sources have been used: international organisations, government and national statistic institutes, OECD delegations, academic studies and private sector or>>/overnmental analytical reports. When available, detailed information on sources is provided in the "variable def. and sources" (eg. references to an academic article or a government website).
Jul-14
Yearly
Jul-14
Caution should be exercised when comparing different sources. Estimation methods may differ widely across sources. For more information on these methods users are invited to revert to the original source documented in the "variables def. and sources".
- The first dimension, named "Category", represents the data type. There may be up to 4 types, depending on data availability: The first relates to quantitative estimates of food loss and food waste, the second relates to total waste or waste in general, as food waste is part of total waste and sometimes cannot be isolated. The third shows monetary estimates of food waste or loss or of their economic impact. Finally the fourth relates to other variables, generally providing context.
- Column "Activity" , the stage of the food supply or consumption chain, where the variable is measured. Where possible the ISIC rev 4 classification has been used.
- The "Variable" is displayed in the third column. As indicated, extended definitions of variables can be found in the metadata viewer, when available.
- Column "Source" indicates the data source. More detailed information on the source is provided in the metadata viewer when available.
- The fifth dimension, in column "Unit", specifies the unit in which the variable is expressed. Units may be percentages, weight units or monetary units. In some cases, derived statistics are also provided bringing the data into context, such as kg per day or per household.
The OECD food waste dataset is a compilation of available data related to food loss and food waste for 32 countries. The period covered may vary across different countries depending on data availability (globally ranging from 1993 to 2013).
Several types of sources have been used: international organisations, government and national statistic institutes, OECD delegations, academic studies and private sector or>>/overnmental analytical reports. When available, detailed information on sources is provided in the "variable def. and sources" (eg. references to an academic article or a government website).
Yearly
Jul-14
Jul-14
Caution should be exercised when comparing different sources. Estimation methods may differ widely across sources. For more information on these methods users are invited to revert to the original source documented in the "variables def. and sources".
- The first dimension, named "Category", represents the data type. There may be up to 4 types, depending on data availability: The first relates to quantitative estimates of food loss and food waste, the second relates to total waste or waste in general, as food waste is part of total waste and sometimes cannot be isolated. The third shows monetary estimates of food waste or loss or of their economic impact. Finally the fourth relates to other variables, generally providing context.
- Column "Activity" , the stage of the food supply or consumption chain, where the variable is measured. Where possible the ISIC rev 4 classification has been used.
- The "Variable" is displayed in the third column. As indicated, extended definitions of variables can be found in the metadata viewer, when available.
- Column "Source" indicates the data source. More detailed information on the source is provided in the metadata viewer when available.
- The fifth dimension, in column "Unit", specifies the unit in which the variable is expressed. Units may be percentages, weight units or monetary units. In some cases, derived statistics are also provided bringing the data into context, such as kg per day or per household.