Sustainable Development Goals - 17 Goals to Transform our World

Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

Indicator 8.4.1: Material footprint, material footprint per capita, and material footprint per GDP

Material footprint, material footprint per capita, and material footprint per GDP

This table provides metadata for the actual indicator available from US statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from US statistics, this table should be consulted for information on national methodology and other US-specific metadata information.

Actual indicator available
Actual indicator available - description
Date of national source publication
Method of computation
Scheduled update by national source
U.S. method of computation
Comments and limitations
Date metadata updated
Disaggregation geography
Unit of measurement
Disaggregation categories
International and national references
Time period
Scheduled update by SDG team

This table provides information on metadata for SDG indicators as defined by the UN Statistical Commission. Complete global metadata is provided by the UN Statistics Division.

Indicator name Material footprint, material footprint per capita, and material footprint per GDP
Target name Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead.
Global indicator description Material footprint (MF) is the attribution of global material extraction to domestic final demand of a country. It is calculated as raw material equivalent of imports (RMEIM) plus domestic extraction (DE) minus raw material equivalents of exports (RMEEX). For the attribution of the primary material needs of final demand a global, multi_regional input_output (MRIO) framework is employed. The attribution method based on I_O analytical tools is described in detail in Wiedmann et al. 2015. It is based on the EORA MRIO framework developed by the University of Sydney, Australia (Lenzen et al. 2013) which is an internationally well_established and the most detailed and reliable MRIO framework available to date.
UN designated tier 3
UN custodial agency UNEP (Partnering Agencies: OECD)
Link to UN metadata Link opens in a new window
Agency Staff Name
Agency Survey Dataset
Link to data source

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