Title of statistical activity: Financial statistics of financial service activities and activities auxiliary to financial services (quarterly)
Code of statistical activity: 21301
- Metadata update
- Statistical presentation
- Unit of measure
- Reference period
- Institutional mandate
- Release policy
- Frequency of dissemination
- Accessibility and clarity
- Quality management
- Accuracy and reliability
- Timeliness and punctuality
- Coherence and comparability
- Cost and burden
- Data revision
- Statistical processing
1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.
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.
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 9126
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.
Accounts of financial intermediaries and financial auxiliaries: income statement, balance sheet and investments in assets
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
3.3. Sector coverage Main economic or other sectors covered by the statistics.
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Cash and bank – money in cash, bank accounts, foreign accounts and other bank accounts, and other residues.
Enterprise – an enterprise consists of one or more companies (public limited company, private limited company, limited partnership, general partnership, commercial association) or branches of foreign companies or sole proprietors. Statistical unit is an enterprise.
Equity capital – share capital in nominal value, share premiums, own shares, reserves, retained earnings/losses of previous periods, net profit/loss of the reference period.
Interest income/expenses – all interest and interest-type income/expenses from loans, savings, bonds and fixed-income securities, futures, financial leases, factoring and consumer factoring on accrual basis.
Other receivables – short-term loans to companies and shareholders, and other receivables outside the ordinary course of business.
Shares and other securities – securities held for short-term trading and fixed maturity securities with a redemption date one year or less from the balance sheet day.
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
Companies whose main activity is financial activities, excluding Eesti Pank, credit institutions and insurance companies
List of companies whose main activity is financial service activities and auxiliary financial activities, excluding Eesti Pank, credit institutions and insurance companies. 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.
3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.
Financial data – euro
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
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)
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
Statistical Office of the European Union (Eurostat)
Organisation for Economic Co-operation and Development (OECD)
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/dokumendid/19410.
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.
10. Accessibility and clarity
10.1. News release Regular or ad-hoc press releases linked to the data.
10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.
10.3. Online database Information about on-line databases in which the disseminated data can be accessed.
10.4. Microdata access Information on whether micro-data are also disseminated.
10.5. Other References to the most important other data dissemination done.
Data serve as input for statistical activities 21401 “National accounts (annual)”, 21405 “National accounts (quarterly)”, 21407 “Sector accounts” and 21408 “Supply and use tables”.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
European System of Accounts 2010 (ESA 2010)
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.
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.
Data are collected and processed on the basis of ESA 2010 methodology. Time-series data are organised and appropriately maintained.
12.1. User needs Description of users and their respective needs with respect to the statistical data.
Eesti Pank (central bank of Estonia)
The 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.
Accounting of the financial sector corresponds to the requirements of ESA 2010.
13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.
Due to under-coverage, expert assessments may be used.
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.
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are published 80 days after the end of the reference quarter (T + 80).
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 have been compiled according to international standards and are comparable across countries.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
The data are comparable over time. Due to the elaboration of the definition of the enterprise since 2018, there may be a redistribution of indicators between economic activities (legal entities belonging to the group may be consolidated into one enterprise).
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
Cost of statistical activity 25.9 thousand euros (data for 2018)
Total time of filling in reports of the statistical activity, working days: 165.8
Average time of filling in the reports, hours per report:
Finantsvahendus ja finantsvahenduse abitegevus 1.2
(data for 2016)
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.
Planned revisions of previous year’s data are carried out in June.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
The population includes 1,279 objects. The sample includes 400 objects. All organisations with 10 and more employees and political organisations are surveyed. For other organisations stratified simple random sampling by activity is applied.
Statistical data of commercial banks and savings, loan associations, creditors and fund management companies are received from the Eesti Pank (the central bank of Estonia).
The following data are received from the Estonian Tax and Customs Board: aggregate data on wages and social taxes, benefits in kind of financial intermediaries and financial auxiliaries (excl. sole proprietors), depreciation of fixed assets, and own-account software.
Annual reports are received from the commercial register of the Centre of Registers and Infomation Systems.
DATA FROM OTHER STATISTICAL ACTIVITIES
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 collected and the submission of questionnaires is monitored through eSTAT (the web channel for electronic data submission). The questionnaires have been designed for independent completion in eSTAT and include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/andmete-esitamine (in Estonian).
Data are collected with the quarterly statistical questionnaire “Finantsvahendus ja finantsvahenduse abitegevus”.
Data from the Eesti Pank (the central bank of Estonia) are received by e-mail. Data from Tax and Customs Board are received via FTP-server and X-Road and from the commercial register 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 the data of previous periods and other surveys.
18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.
In case of missing or unreliable data, missing values are imputed according to set rules. Variables and statistical units which were not collected but which are necessary for producing 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 variables. Microdata are aggregated to the level necessary for analysis.
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.