Title of statistical activity: Satellite account on pension schemes

Code of statistical activity: 21305

  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

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.

Economic and Environmental Statistics Department

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

Reena Undla

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


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.


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

+372 625 8449

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.


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


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.

Recording of pension entitlements: balances, transactions and changes in volume and revaluations by sectors of pension schemes

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

ESA: Classification of transactions in financial assets and liabilities 2010

ESA: Classification of institutional sectors 2010

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

All institutional sectors

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

Pension entitlements, opening stock (AF.63) – pension entitlements comprise financial claims that current employees and former employees hold against either: a) their employers; b) a scheme designated by the employer to pay pensions as part of a compensation agreement between the employer and the employee or c) an insurer. Opening and closing stock is calculated for each reporting period. The opening stock of pension entitlements for a period is the exact equivalent of the closing stock of the previous accounting period.

Pension scheme – social security scheme under which pensions are paid.

Social security scheme – scheme where the participants are obliged or encouraged to insure themselves against certain possible social risks.

Increase in pension entitlements due to social contributions (D.61) – is equal to the sum of employers’ actual social contributions (D.6111), employers’ imputed social contributions (D.6121), households’ actual social contributions (D.6131) and households’ social contribution supplements (D.6141), less pension scheme service charges (D.61SC).

Employers’ actual social contributions (D.6111) – social contributions paid by employers to state social security schemes and other employment related social security schemes to secure social benefits for their employees. Here is reflected the 20% social tax associated with pensions, a part of which is transferred to mandatory pension funds.

Employers’ imputed social contributions (D.6121) – represent the counterpart to social benefits paid directly by employers (i.e. not linked to employers’ actual contributions) to their employ-ees or former employees and other eligible persons. In the case of social benefits paid directly by employers, the benefits are financed from sources other than the collected social contributions. Therefore, in order to present social security schemes in a uniform way, imputed income is added in the scheme to cover costs of paid social benefits.

Households’ actual social contributions (D.6131) – social contributions payable on their own behalf by employees, self-employed or non-employed persons to social security schemes.

Households’ social contribution supplements (D.6141) – property income earned from pension entitlements. The property income emerges from the investment of the payments of employers and employees.

Pension scheme service charges (D.61SC) – the social security scheme service charges paid to the units administering the schemes.

Other (actuarial) change of pension entitlements in state social security pension schemes (D.619) – an item calculated on actuarial basis relating to social security. It captures any experience effects observed for social security pension schemes where the actual measured outcome of pension modelling assumptions (wage growth rate, inflation rate and discount rate) in any one year differs from the levels assumed. It is differentiated from employers’ imputed social contributions.

Reduction in pension entitlements due to payment of pension benefits (D.62) – pension benefits paid during the accounting period are considered here. Payment of pension benefits has the effect of settling some of the pension entitlements included in the opening stock of pension entitlements.

Changes in pension entitlements due to social contributions and pension benefits (D.8) – presents the changes in pension entitlements due to contributions and pension benefits, is a balancing item. Calculation formula: pension entitlements due to social contributions (D.61) plus other (actuarial) change of pension entitlements in state social security pension schemes (D.619) less reduction in pension entitlements due to payment of pension benefits (D.62).

Transfers of pension entitlements between schemes (D.81) – transfer of pension entitlements in cash or other financial assets from the original pension scheme manager to the new manager, from one employer to another, from the original pension scheme to the new pension scheme.

Change in entitlements due to negotiated changes in scheme structure (D.82) – impact of national reforms of pension scheme structures on pension entitlements relating to past service.

Changes in pension entitlements due to revaluations (K.7) – revaluations emerge due to the price changes from investment of pension entitlements and changes of key model assumptions in the actuarial calculations. These assumptions are the discount rate, the wage rate and the inflation rate. Experience effects are not included here if it is possible to identify them separately. Other changes in actuarial estimates are more likely to be recorded as other changes in the volume of assets.

Changes in pension entitlements due to other changes in volume (K.5) – alterations in pension entitlements resulting from changes in demographic assumptions used in the actuarial calculations.

Pension entitlements, closing balance – the closing stock of pension entitlements at the end of the accounting period.

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

Institutional sector

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

Not applicable


Not applicable

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.


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.

The data is in euros

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


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.


Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union (Text with EEA relevance)


Not available


European Central Bank (ECB)

Statistical Office of the European Union (Eurostat)

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 § 32, § 34, § 35, § 38 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 the 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 the case of publications – the release month).

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


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.


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 / National accounts” in the statistical database at http://pub.stat.ee.

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

Not applicable

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.

European System of Accounts 2010 (ESA 2010)


Technical Compilation Guide for Pension Data in National Accounts (Eurostat 2011)


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

Not available

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 Social Affairs

Ministry of Economic Affairs and Communications

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 ESA 2010 requirements

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.

Using administrative data ensures data accuracy.

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 24 months after the end of the reference year (T + 24 months).

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 geographical comparability of national accounts in Member States of the EU is ensured by the application of common definitions of the European System of Accounts (ESA 2010). Worldwide geographical comparison is also possible as most non-European countries apply the System of National Accounts (SNA 2008) guidelines, and SNA 2008 is consistent with ESA 2010.

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

National accounts time series compiled according to a common methodology start from 1995.

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

As there is no connection with other fields, cross-sectoral coherence is difficult to assess.

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

The outputs of government financial statistics are intercomparable and differences are rare. However, full consistency of data is not always possible and temporary discrepancies may occur. These are usually caused by vintage differences.

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

Cost of statistical activity 24.8 thousand euros (data for 2018)

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.

Not applicable

18. Statistical processing

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


Not used


Population register

Estonian Causes of Death Registry

Register of Residence and Work Permits

The State Human Resources Database

Estonian Education Information System

Social Insurance Board microdata

Macroeconomic background information from the Ministry of Finance

Special pensions information from State Shared Services Centre

EUROPOP 2013 data from Eurostat


Data from statistical activities 21407 “Sector accounts”, 21303 “Goverment finance” and 30001 “Population and housing census” are used.

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


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

Data are obtained from administrative data sources through direct access to the FTP-server and database.

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.

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

The methodology is developed according to ESA 2010 chapter 17. Pension microsimulation model was developed for the calculation of the 1st pillar pension statistics. Other statistics are calculated based on administrative data as well as data from core national accounts.

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