Economy-wide material flow accounts: documentation of statistics
Basic data of the statistics
Data description
The statistics constitute part of environmental accounts.
Statistical population
Statistical unit
Unit of measure
Reference period
Reference area
Sector coverage
Time coverage
Frequency of dissemination
Concepts
Direct material input (DMI)
DMI = DE + IMP
Domestic extraction (DE)
Domestic hidden flows / Unused domestic extraction
Domestic material consumption (DMC)
DMC = DE + IMP – EXP
Domestic raw material consumption (RMC)
RMC = DE + IMPrme – EXPrme
Economy-wide material flow accounts (EW-MFA)
Exports (EXP)
Hidden flows of imports
Imports (IMP)
Material intensity
= DMC/GDP
Physical trade balance (PTB)
PTB = IMP-EXP
Raw material equivalents (RME)
Raw material input (RMI)
RMI = DE + IMPrme
Resource productivity (RP)
RP = BKT/DMC
System of Integrated Environmental and Economic Accounting (SEEA)
Total material requirement (TMR)
TMR = DE + domestic hidden flows + IMP + hidden flows of imports
Accuracy, reliability and timeliness
Overall accuracy
Timeliness
Punctuality
Sampling error
Comparability
Comparability - geographical
Comparability - over time
Coherence - cross domain
Source data and data collections
Source data
The data on domestic hidden flows are primarily based on the data of Luke and the Mining Register. The hidden flows related to imports are calculated with coefficients originally developed in the Wuppertal Institute in Germany and specified at the Thule Institute of the University of Oulu and at Statistics Finland.
Data collection
Frequency of data collection
Methods
Data compilation
Data validation
Principles and outlines
Contact organisation
Contact organisation unit
Economic Statistics<o:p></o:p>
Legal acts and other agreements
The compilation of statistics is guided by the Statistics Act. The Statistics Act contains provisions on collection of data, processing of data and the obligation to provide data. Besides the Statistics Act, the Data Protection Act and the Act on the Openness of Government Activities are applied to processing of data when producing statistics.
Statistics Finland compiles statistics in line with the EU’s regulations applicable to statistics, which steer the statistical agencies of all EU Member States.
Further information: Statistical legislation
Confidentiality - policy
The data protection of data collected for statistical purposes is guaranteed in accordance with the requirements of the Statistics Act (280/2004), the Act on the Openness of Government Activities (621/1999), the EU's General Data Protection Regulation (EU) 2016/679 and the Data Protection Act (1050/2018). The data materials are protected at all stages of processing with the necessary physical and technical solutions. Statistics Finland has compiled detailed directions and instructions for confidential processing of the data. Employees have access only to the data essential for their duties. The premises where unit-level data are processed are not accessible to outsiders. Members of the personnel have signed a pledge of secrecy upon entering the service. Violation of data protection is punishable.
Further information: Data protection | Statistics Finland (stat.fi)
Confidentiality - data treatment
The tables in the statistics are produced by using/editing a table’s classification on a level high or general enough to prevent the emergence of small cell frequencies.
The Statistics Act (280/2004) defines the data on the number of enterprises as being in the public domain, which is why even small cell frequencies do not need to be protected. In quantity tables, cells containing few observations (threshold value) or dominated by one or two units (dominance rule) are protected by suppressing the value of the cell to prevent the data of an individual enterprise from being revealed. In addition, other cells have been suppressed to prevent the calculation of the primarily suppressing cell values with the help of marginal sums. The suppressed cells in released tables are marked by single quotation marks ’..’ (or another marking used by the statistics, such as StatFin two full stops). Further information on suppression is available in the Handbook on Statistical Disclosure Control (2010).
The data of the statistics are not released in identifiable form outside Statistics Finland. The use of the data for scientific research and statistical surveys is possible only on the basis of a separate decision on user licence and in unidentifiable form. Further information about licences.
Release policy
Statistics Finland publishes new statistical data at 8 am on weekdays in its web service. The release times of statistics are given in advance in the release calendar available in the web service. The data are public after they have been updated in the web service.
Further information: Publication principles for statistics at Statistics Finland
Data sharing
Accessibility and clarity
The statistics on the economy-wide material flow accounts are published on the predefined date online, on the home page
of the statistics. The links on the home page lead to the description of the statistics, concepts and definitions as well as free of charge statistical database tables (StatFin). Eurostat publishes the data in the statistics on its own website.
Data revision - policy
Revisions – i.e. improvements in the accuracy of statistical data already published – are a normal feature of statistical production and result in improved quality of statistics. The principle is that statistical data are based on the best available data and information concerning the statistical phenomenon. On the other hand, the revisions are communicated as transparently as possible in advance. Advance communication ensures that the users can prepare for the data revisions.
The reason why data in statistical releases become revised is often caused by the data becoming supplemented. Then the new, revised statistical figure is based on a wider information basis and describes the phenomenon more accurately than before.
Revisions of statistical data may also be caused by the calculation method used, such as annual benchmarking or updating of weight structures. Changes of base years and used classifications may also cause revisions to data.
Quality assessment
The OSF quality criteria and Recommendation on Quality Description
Quality assurance
Quality management requires comprehensive guidance of activities. The quality management framework of the field of statistics is the European Statistics Code of Practice (CoP). The quality criteria of Official Statistics of Finland are compatible with the European Statistics Code of Practice.
Further information: Quality management | Statistics Finland (stat.fi)
User access
Further information: Publication principles for statistics
Unless otherwise separately stated in connection with the product, data or service concerned, Statistics Finland is the producer of the data and the owner of the copyright. The terms of use for statistical data.