Title of statistical activity: Financial statistics of foreign affiliates

Code of statistical activity: 20319

  1. Contact
  2. Metadata update
  3. Statistical presentation
  4. Unit of measure
  5. Reference period
  6. Institutional mandate
  7. Confidentiality
  8. Release policy
  9. Frequency of dissemination
  10. Accessibility and clarity
  11. Quality management
  12. Relevance
  13. Accuracy and reliability
  14. Timeliness and punctuality
  15. Coherence and comparability
  16. Cost and burden
  17. Data revision
  18. Statistical processing
  19. Comments

1. Contact Individual or organisational contact points for the data or metadata, including information on how to reach the contact points.

1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.

Statistics Estonia

1.2. Contact organisation unit An addressable subdivision of an organisation.

Enterprise and Agricultural Statistics Department

1.3. Contact name The name of the contact points for the data or metadata.

Merike Põldsaar

1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".

Deputy Head

1.5. Contact mail address The postal address of the contact points for the data or metadata.

51 Tatari Str, 10134 Tallinn, Estonia

1.6. Contact email address E-mail address of the contact points for the data or metadata.

merike.poldsaar@stat.ee

1.7. Contact phone number The telephone number of the contact points for the data or metadata.

+372 625 9133

2. Metadata update The date on which the metadata element was inserted or modified in the database.

2.1. Metadata last certified Date of the latest certification provided by the domain manager to confirm that the metadata posted are still up-to-date, even if the content has not been amended.

15/06/2017

2.2. Metadata last update Date of last update of the content of the metadata.

15/06/2017

3. Statistical presentation

3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.

Number of enterprises; average number of persons employed; average number of employees

Turnover, incl. sales to non-residents; other revenue

Costs total, incl. merchandise, materials, supplies and intermediate goods, laid-out work; personnel expenses; depreciation

Personnel expenses total, incl. wages and salaries and social security costs

Other expenses; operating profit (loss); financial income and cost; profit (loss) from normal operation; provision for taxes; net profit (loss)

Production value; value added; labour productivity per person employed on the basis of value added; productivity of personnel costs on the basis of value added; total productivity on the basis of value added

Assets total, incl. current assets, fixed assets, liabilities and equity. Investments in fixed assets

The data are published by economic activity (2-digit EMTAK code) and by the country of residence of controlling units

3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.

Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2

International Standard Codes for the Representation of the Names of Countries (ISO 3166)

3.3. Sector coverage Main economic or other sectors covered by the statistics.

Nonfinancial enterprises:

Mining and quarrying

Manufacturing

Electricity, gas, steam and air conditioning supply

Water collection, treatment and supply

Construction

Wholesale and retail trade; repair of motor vehicles and motorcycles Transportation and storage

Accommodation and food service activities

Information and communication

Real estate activities

Professional-, scientific and technical activity

Administrative and support service activities

Education

Human health and social work activities

Arts, entertainment and recreation

Other service activities

3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.

Control over the enterprise – control exists if another unit or person holds more than 50% of shareholdings with voting rights or the ability to determine the general and financial policy of an enterprise.

Foreign affiliate – an enterprise resident in the compiling country (e.g. Estonia) over which an institutional unit not resident in the compiling country (e.g. Estonia) has control, or an enterprise not resident in the compiling country over which an institutional unit resident in the compiling country has control.

Foreign countries – all countries, excluding Estonia.

Non-European Union – all countries, excluding Estonia and other European Union Member States.

Shared control – no unit or person has over 50% of voting rights or controls otherwise.

Ultimate controlling institutional unit of a foreign affiliate – the institutional unit, proceeding up a foreign affiliate’s chain of control, which is not controlled by another institutional unit.

3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.

Enterprise – company

3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.

Enterprises with 20 and more persons employed, excluding enterprises engaged in agriculture, forestry and fishing, and financial and insurance activities

FRAME

List of active enterprises, excluding enterprises engaged in agriculture, forestry and fishing, and financial and insurance activities. The list is generated from the Business Register for Statistical Purposes.

3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.

Estonia as a whole

3.8. Time coverage The length of time for which data are available.

2005–…

3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.

Not applicable

4. Unit of measure The unit in which the data values are measured.

Financial data – euro

5. Reference period The period of time or point in time to which the measured observation is intended to refer.

Year

6. Institutional mandate

6.1. Legal acts and other agreements Legal acts or other formal or informal agreements that assign responsibility as well as the authority to an agency for the collection, processing, and dissemination of statistics.

DIRECTLY APPLICABLE LEGAL ACTS

Commission Regulation (EC) No 747/2008 of 30 July 2008 amending Regulation (EC) No 716/2007 of the European Parliament and of the Council on Community statistics on the structure and activity of foreign affiliates, as regards the definitions of characteristics and the implementation of NACE Rev. 2 (Text with EEA relevance)

Commission Regulation (EC) No 364/2008 of 23 April 2008 implementing Regulation (EC) No 716/2007 of the European Parliament and of the Council, as regards the technical format for the transmission of foreign affiliates statistics and the derogations to be granted to Member States

Commission Regulation (EC) No 834/2009 of 11 September 2009 implementing Regulation (EC) No 716/2007 of the European Parliament and of the Council on Community statistics on the structure and activity of foreign affiliates, as regards the quality reports (Text with EEA relevance)

Regulation (EC) No 716/2007 of the European Parliament and of the Council of 20 June 2007 on Community statistics on the structure and activity of foreign affiliates

OTHER LEGAL ACTS

Not available

OTHER AGREEMENTS

Not available

7. Confidentiality A property of data indicating the extent to which their unauthorised disclosure could be prejudicial or harmful to the interest of the source or other relevant parties.

7.1. Confidentiality - policy Legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly.

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34 and § 35 of the Official Statistics Act.

7.2. Confidentiality - data treatment Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure.

The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: https://www.stat.ee/66485.

8. Release policy Rules for disseminating statistical data to interested parties.

8.1. Release calendar The schedule of statistical release dates.

Notifications about dissemination of statistics are published in the release calendar, which is available on the website. Every year on 1 October, the release times of the Statistical Database, news releases, main indicators by IMF SDDS and publications for the following year are announced in the release calendar (in case of publications – the release month).

8.2. Release calendar access Access to the release calendar information.

https://www.stat.ee/release-calendar

8.3. User access The policy for release of the data to users, the scope of dissemination (e.g. to the public, to selected users), how users are informed that the data are being released, and whether the policy determines the dissemination of statistical data to all users.

All users have been granted equal access to official statistics: dissemination dates of official statistics are announced in advance and no user category (incl. Eurostat, state authorities and mass media) is provided access to official statistics before other users. Official statistics are first published in the Statistical Database. If there is also a news release, it is published simultaneously with data in the Statistical Database. Official statistics are available on the website at 8:00 a.m. on the date announced in the release calendar.

9. Frequency of dissemination The time interval at which the statistics are disseminated over a given time period.

Annual

10. Accessibility and clarity

10.1. News release Regular or ad-hoc press releases linked to the data.

Not published

10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.

Not published

10.3. Online database Information about on-line databases in which the disseminated data can be accessed.

Data are published under the subject area “Economy / Financial statistics of enterprises” in the Statistical Database at http://pub.stat.ee.

10.4. Microdata access Information on whether micro-data are also disseminated.

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34, § 35, § 36, § 37, § 38 of the Official Statistics Act. Access to microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes: https://www.stat.ee/dokumendid/51669.

10.5. Other References to the most important other data dissemination done.

Not used

10.6. Documentation on methodology Descriptive text and references to methodological documents available.

Foreign Affiliates Statistics (FATS). Recommendations Manual, Eurostat (2012)

http://ec.europa.eu/eurostat/en/web/products-manuals-and-guidelines/-/KS-RA-12-016

10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.

“Quality Report on Inward FATS” submitted to Eurostat

11. Quality management Systems and frameworks in place within an organisation to manage the quality of statistical products and processes.

11.1. Quality assurance All systematic activities implemented that can be demonstrated to provide confidence that the processes will fulfil the requirements for the statistical output.

To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, the European Statistics Code of Practice and the Quality Assurance Framework of the European Statistical System (ESS QAF). Statistics Estonia is also guided by the requirements in § 7. “Principles and quality criteria of producing official statistics” of the Official Statistics Act.

11.2. Quality assessment Overall assessment of data quality, based on standard quality criteria.

Statistics Estonia performs all statistical activities according to an international model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process; this information can take many forms, including feedback from users, process metadata, system metrics and suggestions from employees. This information is used to prepare the evaluation report which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.

12. Relevance The degree to which statistical information meet current and potential needs of the users.

12.1. User needs Description of users and their respective needs with respect to the statistical data.

Ministry of Economic Affairs and Communications

Ministry of Finance

Eesti Pank

Users’ suggestions and information about taking these into account are available on the website of Statistics Estonia at https://www.stat.ee/statistikatood.

12.2. User satisfaction Measures to determine user satisfaction.

Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys.

All results are available on the website at https://www.stat.ee/user-surveys.

12.3. Completeness The extent to which all statistics that are needed are available.

Corresponds to rules (regulations)

13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
Reliability: closeness of the initial estimated value to the subsequent estimated value.

13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.

The type of survey and the data collection methods ensure sufficient coverage and timeliness for enterprises with 20 and more persons employed.

13.2. Sampling error That part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.

Not applicable

13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.

Not measured

14. Timeliness and punctuality

14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.

The data are published 600 days after the end of the reference year (T + 600).

14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.

The data have been published at the time announced in the release calendar.

15. Coherence and comparability

15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.

The data refer to enterprises with 20 or more persons employed and thus are not comparable with the data for many other European Union countries.

15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.

The data are comparable since 2008.

15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.

The economic indicators of foreign affiliates are part of the annual economic indicators of enterprises, expressing the economic indicators of enterprises with 20 or more persons employed (excl. enterprises engaged in agriculture, forestry and fishing, and financial and insurance activities) by controlling country.

15.4. Coherence - internal The extent to which statistics are consistent within a given data set.

The outputs of the statistical activity are coherent.

16. Cost and burden Cost associated with the collection and production of a statistical product and burden on respondents.

17. Data revision Any change in a value of a statistic released to the public.

17.1. Data revision - policy Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.

The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia at https://www.stat.ee/dissemination-policy.

17.2. Data revision - practice Information on the data revision practice.

The published data may be revised if the methodology is modified, errors are discovered, new or better data become available.

18. Statistical processing

18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.

SURVEY DATA

Not used

ADMINISTRATIVE DATA

Annual reports of enterprises are received from the commercial register of the Centre of Registers and Infomation Systems. Data on the following tax returns are received from the Estonian Tax and Customs Board: value added tax return (form KMD); declaration of income and social tax, unemployment insurance premiums and contributions to mandatory funded pension (form TSD).

DATA FROM OTHER STATISTICAL ACTIVITIES

Data from statistical activities 20300 “Financial statistics of enterprises (annual)” and 20904 “Enterprise groups” are used.

18.2. Frequency of data collection Frequency with which the source data are collected.

Annual

18.3. Data collection Systematic process of gathering data for official statistics.

Data from the Estonian Tax and Customs Board are received via X-road and an FTP server. Data from the Commercial Register are received via X-Road.

18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.

Arithmetic and qualitative controls are used in the validation process, including comparison with other data. Before data dissemination, the internal coherence of the data is checked.

18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.

In the case of missing or unreliable data, estimate imputation based on established regulations is used.

Variables and statistical units which were not collected but which are necessary for producing the output are calculated. New variables are calculated by applying arithmetic conversion to already existing variables. This may be done repeatedly, the derived variable may, in turn, be based on previously derived new variables.

Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measures, e.g. average, median, dispersion, etc.

The collected data are converted into statistical output. This includes calculating additional indicators.

18.6. Adjustment The set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific data sets.

Not applicable

19. Comments Supplementary descriptive text which can be attached to data or metadata.

Not available