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The Organisation for Economic Co-operation and Development (OECD) collects data about meat consumption, related to living standards, diet, livestock production and consumer prices, as well as macroeconomic uncertainty and shocks to GDP.

This data was used in the publication OECD-FAO Agricultural Outlook 2017-2026. As described by the authors:

Meat consumption is related to living standards, diet, livestock production and consumer prices, as well as macroeconomic uncertainty and shocks to GDP. Compared to other commodities, meat is characterised by high production costs and high output prices. Meat demand is associated with higher incomes and a shift - due to urbanisation - to food consumption changes that favour increased proteins from animal sources in diets. While the global meat industry provides food and a livelihood for billions of people, it also has significant environmental and health consequences for the planet.

World meat projections up to 2026 are presented for beef and veal, pig, poultry, and sheep. Meat consumption is measured in thousand tonnes of carcass weight (except for poultry expressed as ready to cook weight) and in kilograms of retail weight per capita. Carcass weight to retail weight conversion factors are: 0.7 for beef and veal, 0.78 for pigmeat, and 0.88 for both sheep meat and poultry meat. Excludes Iceland but includes all EU 28 member countries.

Sources:

OECD/FAO (2017), “OECD-FAO Agricultural Outlook”, OECD Agriculture statistics (database). doi: dx.doi.org/10.1787/agr-outl-data-en (Accessed on 24 January 2018)

License

This package is licensed by its maintainers under the Public Domain Dedication and License.

Datasets it contains are republished under the OECD's general terms of Permitted Use:

Except where additional restrictions apply as stated above, you can extract from, download, copy, adapt, print, distribute, share and embed Data for any purpose, even for commercial use. You must give appropriate credit to the OECD by using the citation associated with the relevant Data, or, if no specific citation is available, you must cite the source information using the following format: Dataset name: Data source: DOI or URL. Accessed on (date). When sharing or licensing work created using the Data, you agree to include the same acknowledgment requirement in any sub-licenses that you grant, along with the requirement that any further sub-licensees do the same.

If you intended to use these data in a public or commercial product, please check the original sources for any specific restrictions.