Title of statistical activity: Financial indicators of enterprises
Code of statistical activity: 20318
- 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 9193
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.
Current assets; cash and marketable securities; other securities, trade receivables; non-trade receivables, prepayments and refunds
Long-term financial assets: shares and other securities, non-trade receivables (loans), long-term trade receivables
Current liabilities total: debt obligations
Long-term liabilities total: debt obligations
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.
1. Current assets (excl. inventories)
Cash – cash in hand and at bank; deposits repayable on demand; allocations to money market funds and other highly marketable funds
Short-term stocks and shares – stocks and shares kept for trading purposes and held for resale within the next financial year at the latest
Other securities (excl. stocks and shares) – other securities kept for trading purposes – bonds, debt securities, fund securities etc. with a redemption deadline within the next financial year at the latest, as well as derivative instruments (forward, futures, swap, options contracts, etc.)
Trade receivables – short-term receivables arising from regular business activities of an enterprise – invoice payments receivable from buyers, invoice payments likely not to be received (with a minus)
Various short-term receivables – outstanding revenues during the reporting period, short-term receivables from other enterprises and shareholders of the consolidation group and other short-term receivables. Various receivables (loans) equal outstanding revenues of Estonian non-financial enterprises, Estonian private persons or other institutions
Receivables and prepayments – prepaid taxes and expenses of future periods, tax prepayments and adjustments and other prepaid expenses of future periods
2. Long-term financial assets
Long-term shares and securities – shares and securities of subsidiaries, affiliates and other enterprises which are likely not going to be sold within the next financial year
Other long-term financial assets (excl. shares and securities) – long-term debt securities of other enterprises, bonds, fund securities, etc. that are likely not going to be sold within the next financial year, as well as derivative instruments
Various long-term receivables (loans) – long-term receivables from subsidiaries and affiliates and other enterprises. Also included here are long-term receivables of a (financial lease) lessor from a lessee, excl. long-term invoice payments receivable from buyers
Long-term invoice payments receivable from buyers – sums receivable from buyers with a payment deadline later than the next financial year
Current liabilities total – liabilities with a payment deadline within the next financial year at the latest – debt obligations, debt securities and other current liabilities
Current loan commitments – short-term loans, overdrafts and other debt obligations from financing purposes; the part of long-term loans and finance lease payables which have to be repaid within the next reporting year at the latest, excl. debt securities
Long-term liabilities total – liabilities with a payment deadline later than the next reporting year – loan obligations, debt securities and other long-term liabilities
Long-term loan obligations – the part of long-term loan obligations (loans, financial lease payables, etc.) which have to be repaid later than the next reporting year; convertible loan obligations
Equity total – nominal value and unregistered share capital, issue premium, reserves, retained profits (losses) of prior periods, reporting period profits (losses) less uncalled share capital, other equities and own shares
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 which had substantial financial assets or liabilities
List of enterprises who had substantial financial assets or liabilities. The list is based on the data of respondents who submitted the Structural Business Survey questionnaire (called EKOMAR) as part of the statistical activity 20300 “Financial statistics of enterprises (annual)”.
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)
OTHER LEGAL ACTS
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.
8.1. Release calendar The schedule of statistical release dates.
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.
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.
The data are submitted to Eesti Pank as input for financial accounts.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
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.
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.
12.1. User needs Description of users and their respective needs with respect to the statistical data.
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.
In compliance with the 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.
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.
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 available 70 days after the end of the reference period (T + 70).
14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.
The data are transmitted on time.
15. Coherence and comparability
15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
The data are comparable over time.
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
Data are related to statistical activities 20300 “Financial statistics of enterprises (annual)” and 20901 “Business Register for Statistical Purposes”.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The outputs of the statistical activity are coherent.
Total time of filling in reports of the statistical activity, working days: 209.7
Average time of filling in the reports, hours per report:
(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.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
Data are collected from enterprises which had substantial financial assets and/or liabilities. It is a panel of enterprises, which is updated with new enterprises with substantial financial assets and/or liabilities; enterprises who have terminated their activites are removed. About 500–800 enterprises depending on the year submit the report.
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 official statistics quarterly questionnaire “Finantsnäitajad”.
18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.
The validation process consists of arithmetic and quality checks. Before the data are transmitted to users, 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.
Collected and validated microdata are transmitted to users.
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.