Indicator Economy and Consumption

Material footprint per capita

The material footprint (raw material consumption, RMC) indicates the total quantity of raw materials that are required in Switzerland or abroad to cover Swiss demand for goods and services. All materials that are consumed in the product life cycle are included in this indicator. The extraction, transport, use and disposal of material pollute the environment due to land use and emissions. A reduction of the material footprint is therefore important.

Assessment of the state
poor poor
Assessment of the trend
unsatisfactory unsatisfactory
Raw material consumption (RMC) based on domestic consumption 2020: 16.4748163537385 Raw material consumption (RMC) based on domestic consumption 2019: 17.3176408341193 Raw material consumption (RMC) based on domestic consumption 2018: 17.3774968438636 Raw material consumption (RMC) based on domestic consumption 2017: 18.157881253262 Raw material consumption (RMC) based on domestic consumption 2016: 17.9083629698515 Raw material consumption (RMC) based on domestic consumption 2015: 17.8003841708826 Raw material consumption (RMC) based on domestic consumption 2014: 17.7355818805194 Raw material consumption (RMC) based on domestic consumption 2013: 18.0980673197981 Raw material consumption (RMC) based on domestic consumption 2012: 17.5813001744197 Raw material consumption (RMC) based on domestic consumption 2011: 18.3825004492686 Raw material consumption (RMC) based on domestic consumption 2010: 18.1993893791829 Raw material consumption (RMC) based on domestic consumption 2009: 19.3436973189796 Raw material consumption (RMC) based on domestic consumption 2008: 19.4017173891654 Raw material consumption (RMC) based on domestic consumption 2007: 19.4087642930275 Raw material consumption (RMC) based on domestic consumption 2006: 19.1715597210342 Raw material consumption (RMC) based on domestic consumption 2005: 19.0310141200837 Raw material consumption (RMC) based on domestic consumption 2004: 18.9338408499039 Raw material consumption (RMC) based on domestic consumption 2003: 18.8687709497362 Raw material consumption (RMC) based on domestic consumption 2002: 19.546388875539 Raw material consumption (RMC) based on domestic consumption 2001: 20.0581334433926 Raw material consumption (RMC) based on domestic consumption 2000: 19.348248005556

Data for the graph: Excel
Source: FSO: Environmental accounting, STATPOP
Raw material consumption (RMC) based on domestic consumption 2020: 142.841600231819 Raw material consumption (RMC) based on domestic consumption 2019: 149.036188500579 Raw material consumption (RMC) based on domestic consumption 2018: 148.482490974808 Raw material consumption (RMC) based on domestic consumption 2017: 154.053825077237 Raw material consumption (RMC) based on domestic consumption 2016: 150.780357442813 Raw material consumption (RMC) based on domestic consumption 2015: 148.226041839345 Raw material consumption (RMC) based on domestic consumption 2014: 146.09979984737 Raw material consumption (RMC) based on domestic consumption 2013: 147.311589796316 Raw material consumption (RMC) based on domestic consumption 2012: 141.337126980171 Raw material consumption (RMC) based on domestic consumption 2011: 146.22657778878 Raw material consumption (RMC) based on domestic consumption 2010: 143.231633132346 Raw material consumption (RMC) based on domestic consumption 2009: 150.606274648296 Raw material consumption (RMC) based on domestic consumption 2008: 149.429233484048 Raw material consumption (RMC) based on domestic consumption 2007: 147.380335206519 Raw material consumption (RMC) based on domestic consumption 2006: 143.954238168158 Raw material consumption (RMC) based on domestic consumption 2005: 141.954770291512 Raw material consumption (RMC) based on domestic consumption 2004: 140.396361153804 Raw material consumption (RMC) based on domestic consumption 2003: 138.952421851958 Raw material consumption (RMC) based on domestic consumption 2002: 142.959414916528 Raw material consumption (RMC) based on domestic consumption 2001: 145.534856092952 Raw material consumption (RMC) based on domestic consumption 2000: 139.385842785666

Data for the graph: Excel
Source: FSO: Environmental accounting
Changes in consumption-related material efficiency (GDP/RMC) 2020: 135.806732432884 Changes in consumption-related material efficiency (GDP/RMC) 2019: 133.352920981546 Changes in consumption-related material efficiency (GDP/RMC) 2018: 132.248678462953 Changes in consumption-related material efficiency (GDP/RMC) 2017: 123.853242777335 Changes in consumption-related material efficiency (GDP/RMC) 2016: 124.567940966065 Changes in consumption-related material efficiency (GDP/RMC) 2015: 124.174957227885 Changes in consumption-related material efficiency (GDP/RMC) 2014: 123.927684815572 Changes in consumption-related material efficiency (GDP/RMC) 2013: 119.97270533226 Changes in consumption-related material efficiency (GDP/RMC) 2012: 122.806938110547 Changes in consumption-related material efficiency (GDP/RMC) 2011: 117.273140251654 Changes in consumption-related material efficiency (GDP/RMC) 2010: 117.4693623374 Changes in consumption-related material efficiency (GDP/RMC) 2009: 108.181822943403 Changes in consumption-related material efficiency (GDP/RMC) 2008: 111.349625651472 Changes in consumption-related material efficiency (GDP/RMC) 2007: 109.870136750672 Changes in consumption-related material efficiency (GDP/RMC) 2006: 108.163136924691 Changes in consumption-related material efficiency (GDP/RMC) 2005: 105.452707115047 Changes in consumption-related material efficiency (GDP/RMC) 2004: 103.635794087677 Changes in consumption-related material efficiency (GDP/RMC) 2003: 101.839311979691 Changes in consumption-related material efficiency (GDP/RMC) 2002: 99.031261955977 Changes in consumption-related material efficiency (GDP/RMC) 2001: 97.2841234442779 Changes in consumption-related material efficiency (GDP/RMC) 2000: 100

Data for the graph: Excel
Source: FSO: Environmental accounting, National accounts
Comment

At an average rate of 45%, non-metallic minerals were the material category with the highest level of consumption between 2000 and 2020. They are mainly used in the construction industry (sand, gravel etc.).

Switzerland’s material footprint per capita fell by 2.9 tonnes between 2000 and 2020 and was approximately 16.5 tonnes in 2020. This reduction since 2019 is primarily attributable to the COVID-19 pandemic. The value is above the European average (EU 27).

The planetary boundary is estimated to be around 5 to 8 tonnes per capita (UBA 2015), although the varying relevance of different raw materials for the environment must be taken into account. In the 2030 Sustainable Development Strategy, the federal government’s aim is a considerable reduction in the per capita material footprint in line with Paris Climate Agreement target of keeping global warming to a maximum of 1.5 degrees Celsius. Although the trend is moving in the right direction, a reduction on the scale recorded up to now will still not achieve the target values. The trend is thus classed as unsatisfactory and the state as poor.

The total value of the material footprint increased by 2.5% between 2000 and 2020 to reach 142.8 million tonnes in 2020.

Material efficiency, measured by dividing Switzerland’s gross domestic product and raw material consumption in tonnes, improved by 36% between 2000 and 2020: While the real gross domestic product grew by approximately 39% in the same period, the total material footprint increased significantly less, i.e. by about 7%.

International comparison

At approximately 16.5 tonnes per capita, Switzerland’s material footprint in 2020 was above the European average (EU-27) of approx. 13.7 tonnes per capita (Eurostat 2022) and the global average of 12.4 tonnes per capita (SCP Hotspot Analysis).

Method

This indicator describes the raw material consumption caused by domestic final demand. Raw materials are also used abroad to produce, transport, use and dispose of goods and services consumed in Switzerland. The indicator includes both resource consumption that occurs abroad and the percentage of domestic extraction that is used to cover Swiss final demand. All materials extracted from nature, with the exception of water and air, are taken into account.

The data on domestic raw material consumption are collected as part of the environmental accounting of the Federal Statistical Office (FSO).
The indicator is calculated based on a method developed by the Statistical Office of the European Union (Eurostat). This method can be used to convert the imports and exports of a country into raw material equivalents (RME). It involves a hybrid approach that combines environmentally extended input-output tables (IOT) with life cycle assessments (LCA).

The data on domestic raw material consumption are collected as part of the Federal Statistical Office FSO’s environmental accounting. The indicator is calculated based on a method developed by the Statistical Office of the European Union (Eurostat), which can be used to convert the imports and exports of a country into raw material equivalents (RME). It involves a hybrid approach that combines environmentally extended input-output tables (IOT) with life cycle assessments (LCA). The method used here differs from the Eurostat method in three ways: 1) the electricity import/export coefficients were adapted to the Swiss situation; 2) the considerable fluctuations in the results for precious metals (gold, silver and platinum) were smoothed out; 3) gold bullion was not included in the analysis.

The calculation of raw material equivalents is based on a model. As a result, it is subject to much more uncertainty than a calculation based on direct flows.

Consumption-related material efficiency is measured by dividing real gross domestic product (GDP, at previous year’s prices, concatenated values, reference year 2015) and raw material consumption (RMC) in tonnes.

Basis for assessment of the trend
Targeted trend Initial value Final value Deviation from theoretical path in% Observed trend Assessment
6.5 in 2050 2000 2020 55.91% Towards theoretical path unsatisfactory
 
Last updated on: 22.12.2022

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