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Material flow accounts (env_ac_mfa)

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Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Eurostat, the statistical office of the European Union

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Economy-wide material flow accounts (EW-MFA) provide an aggregate overview, in thousand tonnes per year, of the material flows into and out of an economy. EW-MFA cover solid, gaseous, and liquid materials, except for bulk flows of water and air. Like the system of national accounts, EW-MFA constitute a multi-purpose information system. The detailed material flows provide a rich empirical database for numerous analytical purposes. Further, EW-MFA are used to derive various material flow indicators.

 

This metadata refers to the following six datasets based on Eurostat’s EW-MFA data collection:

  • Material flow accounts (env_ac_mfa): this dataset provides certain flow aggregates in a  detailed breakdown by materials as mandatorily requested according to Regulation (EU) 691/2011, namely domestic extraction of materials, physical imports, and physical exports – and derived indicators such as e.g. domestic material consumption (DMC).
  • Material flow accounts - domestic processed output (env_ac_mfadpo): this dataset provides a material flow aggregate termed 'domestic processed output' in a breakdown by detailed materials.
  • Material flow accounts - balancing items (env_ac_mfabi): this dataset provides balancing items which are required to articulate a consistent material input-output balance of a national economy.
  • Resource productivity (env_ac_rp): this dataset provides ratios of gross domestic product (GDP) over domestic material consumption (DMC) in various units of measure (see also item 4 of metadata). The term 'resource productivity' designates an indicator that reflects the GDP generated per unit of resources used by the economy. This is typically a macro-economic concept that can be presented alongside labour or capital productivity.
  • Material import dependency (env_ac_mid): this dataset provides the ratio of imports (IMP) over direct material inputs (DMI) in percentage. The term 'material import dependency' shows the extent to which an economy relies upon imports in order to meet its material needs. Material import dependency cannot be negative or higher than 100%. Values equal to 100% indicate that there are no domestic extractions.
  • Material flow accounts - main indicators (env_ac_mfain): this dataset provides highly aggregated indicators derived from EW-MFA:
  • domestic extraction (DE): DE indicates the total amount of material extracted by resident units from the natural environment for further processing in the economy;
  • imports (IMP): imports of products in their simple mass weight;
  • exports (EXP): exports of products in their simple mass weight;
  • physical trade balance (PTB): physical imports minus physical exports;
  • direct material input (DMI): DMI indicates the direct input of material into the economy. DMI includes all materials which are of economic value and which are available for use in production and consumption activities and it is calculated as the sum of domestic extraction plus physical imports: DMI = DE + IMP;
  • domestic material consumption (DMC): DMC indicates the total amount of material actually consumed domestically by resident units (‘apparent consumption’). DMC of a given economy can be calculated as direct material input minus physical exports: DMC = DMI – EXP. In general, DMC is additive across countries. However, this feature does not apply to Eurostat's EW-MFA dataset due to the methodology for calculating physical trade for the aggregated EU economy (see point 18.5 of metadata);
  • domestic processed output (DPO): DPO indicates the amounts of solid, liquid and gaseous materials (excluding water and respiratory carbon dioxide) supplied by the national economy and taken up by the natural environment, particularly by the atmosphere;
  • balancing items (BI): balancing items enable the balancing of material input and output related to a national economy. Two groupings of balancing items are distinguishable: first, BI to be added to material input, such as oxygen for combustion processes and respiration, and nitrogen; secondly, BI to be added to material output, such as water vapour from combustion and gases from respiration. 'Total BI' designates the difference between 'BI: input side' and 'BI: output side', i.e. 'BI (input -output)';
  • net additions to stock (NAS): NAS is a measure for the ‘physical growth of the economy’. Materials in form of buildings, infrastructures, durable goods such as e.g. cars, industry machinery, or household appliances are added to the economy’s material stock each year (gross additions), and old materials are removed from stock as buildings are demolished, and durable goods disposed of (removals). NAS is approximated using the following equation: NAS = DMC - DPO + BI (input-output).

29 August 2025

Conceptually economy-wide material flow accounts (EW-MFA) belong to the international system of environmental economic accounting (SEEA-Central Framework). Furthermore, EW-MFA is one of several physical modules of Eurostat's programme on European environmental economic accounts. It is covered by Regulation (EU) No. 691/2011 on European environmental economic accounts.

EW-MFA are closely related to concepts and definitions of national accounts. Most notably they follow the residence principle, i.e. they record material flows related to resident unit's activities, regardless where those occur geographically.

Further methodological guidelines are provided in various publications by Eurostat (see Eurostat website > Environment > Methodology, heading: 'Material flows and resource productivity').

Statistical units differ, depending on the different data sources (e.g. agriculture, forestry and fishery statistics, production statistics, geological surveys, energy statistics, international trade in goods etc.) used to compile EW-MFA.

EW-MFA include all materials (excluding water and air) crossing the system boundary of the national economy of the reporting country. The latter is demarcated by the conventions of the national accounting system (resident units). In Eurostat's EW-MFA material inputs to the economy cover extractions of natural resources (excluding water and air) from the natural environment and imports of material products (goods) from the rest of the world economy (ROW). Material outputs are disposals of materials to the natural environment and exports of material products and waste to the ROW.

European Union (as aggregate and for each Member State); EFTA countries; EU candidate countries.

The data refer to the calendar years.

Economy-wide material flow accounts (EW-MFA) are compiled from a wide range of data sources (e.g. agriculture, forestry and fishery statistics, production statistics, geological surveys, energy statistics, foreign trade statistics etc.). The overall accuracy is considered good.

The datasets 'material flow accounts' (env_ac_mfa) and 'material flow accounts - main indicators' (env_ac_mfain) provide data in thousand tonnes, tonnes per capita (using the demographic indicator 'Average population - total') and Indices (2000=100).

 

The datasets 'material flow accounts - domestic processed output' (env_ac_mfadpo) and 'material flow accounts - balancing items' (env_ac_mfabi) provide data in thousand tonnes, tonnes per capita (using the demographic indicator 'Average population - total').

 

Various units are employed for the data set 'resource productivity' (env_ac_rp) depending on which type of GDP (current price or volume figures) has been used for calculating the ratio:

  • 'Euro per Kilogram' (GDP in current prices), to be used to analyse a single country at one point in time (for one particular year);
  • 'PPS per Kilogram' (GDP in current prices expressed in Purchasing Power Standards). Purchasing Power Standards are fictive 'currency' units that remove differences in purchasing power, hence eliminate differences in price levels across countries; to be used when comparing across countries at one point in time;
  • 'Euro 2015-based chain linked volumes per kilogram' (GDP in chain-linked volumes normalised to 2015 prices). Volume figures show the development of aggregates excluding inflation; to be used when comparing over time (various years) one single country;
  • 'Index, 2000=100' (based on GDP in chain-linked volumes normalised to 2000 prices).

 

The dataset 'material import dependency' (env_ac_mid) provides data in percentage (physical imports in relation to direct material inputs (DMI); see item 3.1 above).

  • Methodology for the estimates of the EU aggregates:

Eurostat derives EU aggregates bottom-up, i.e. by summing up country data, except for physical imports and exports., for which a special methodology is applied as described in the following:

Eurostat derives physical trade for the aggregated EU economy (which is extra-EU imports and exports for EU countries) by using Comext database, i.e. Eurostat's reference database for detailed European statistics on international trade in goods (ITGS). Only extra-EU trade is taken into account for the aggregated EU.

 Please note that due to this methodology  the physical imports and physical exports of the aggregated EU do not equal the sum of Member States'  trade figures.

 Adjustment for residence principle: fuel bunkered by resident units abroad (item MF 4.2.3 of the EW-MFA questionnaire Table B IMPORTS): this item of the EW-MFA classification is estimated for the aggregated EU economy. Based on historical data it is assumed to be 8% of the total extra-EU imports extracted from Comext ITGS database. 

Adjustment for residence principle: fuel bunkered by non-resident units domestically (item MF 4.2.3 of the EW-MFA questionnaire Table D EXPORTS): this item is estimated zero for the aggregated EU economy. Comext ITGS exports include already supplies on the territory of the reporting country to ships and aircraft which are destined to leave the territory of this country on-board.

  • Methodology for gap-filling and early estimates:

- Gap-filling T-1 year (June): For physical imports and physical exports, Eurostat performs gap-filling at the most detailed material breakdown for each EU Member State and the aggregated EU. The gap-filling is based on international trade in goods statistics (ITGS).

Early estimates T-1 year (June): For domestic extraction Eurostat makes early estimates for the 4 main material categories for each EU Member State and the aggregated EU. These early estimates are based on statistical modelling (mainly regression-type models). For each of the main material categories a number of potential predictors have been identified which are available by the middle of the year (e.g. gross value added by NACE sections, production volume indices from short-term business statistics, monthly energy statistics etc.). Predictors and prediction models are country and material specific. 

National statistical institutes (NSI) compile economy-wide material flow accounts (EW-MFA) based on a wide range of statistical data sources (e.g. agriculture, forestry and fishery statistics, production statistics, geological surveys, energy statistics, foreign trade statistics etc.). In some cases, estimation procedures are applied where no data sources are available. Eurostat provides standardised estimation procedures.

See above item 8.1.

Eurostat collects economy-wide material flow accounts from national statistical institutes (NSI) via an annual questionnaire (see 6.1 for legal base). Reporting deadline for the questionnaire is 30 April of the year T (T = deadline and year into which the deadline falls). The most recent mandatory reference year for which NSI have to report is T-2 years. Only a few NSI report data for one more year (T-1y). For domestic extraction and physical imports and exports, Eurostat produces and publishes early estimates for year T-1y.

The comparability across countries is good due to clear statistical concepts and definitions. However, the national data sources used for the compilation of EW-MFA by the national statistical institutes may differ in scope and quality.

The comparability over time is good due to clear statistical concepts and definitions. Revisions in methodology are usually applied backwards to the entire time series.