Title of statistical activity: Annual economic indicators of service enterprises (until 2015)
Code of statistical activity: 20323
- 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 9131
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.
Service enterprises’ assets, liabilities and equity; investments in fixed assets; income statement, employment and hours worked; value added and productivity measures; turnover from services by economic activity (EMTAK 2008) and number of persons employed
3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.
Estonian Classifcation of Economic Activities (EMTAK 2008) based on NACE Rev. 2
3.3. Sector coverage Main economic or other sectors covered by the statistics.
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.
Assets total – sum of current and fixed assets, which is equal to the sum of liabilities and equity.
Current assets – cash and bank; assets, which are expected to be sold or otherwise used up usually within one year, or one business cycle.
Equity – (net assets) the owners’ interest on the assets of the enterprise after deducting liabilities.
Fixed assets – assets purchased for continued and long-term use in an enterprise, usually more than one year.
Investment property – land and/or buildings held to earn rentals or for capital appreciation or both.
Investments in fixed assets – the cost of buildings, land, equipment, machinery, vehicles, installation, etc. purchased in the reference period; in the case of construction and reconstruction of the existing fixed assets, it also includes the cost of work done; investments in intangible fixed assets and valuables. The acquisition of property classified as investment property is also included.
Liabilities – current and long-term liabilities.
Net profit (loss) – turnover + other revenue + financial income – costs total – other expenses – financial costs – income tax.
Number of employees – persons who work for an employer, have a contract of employment and receive compensation in the form of wages, salaries, fees, gratuities, piecework pay or remuneration in kind.
Number of enterprises – the number of active enterprises or enterprises, which were economically active in the reference period (turnover, expenditure, etc.).
Personnel expenses – wages and salaries, and social tax.
Persons employed – persons who work for the enterprise, irrespective of the length of their working week.
Employed persons include:
- working proprietors and their unpaid family members;
- full- and part-time employees who are on the pay-roll;
- persons who work outside the unit (sales representatives, delivery personnel, repair and maintenance teams, etc.) but who are on the staff list and the pay-roll of the enterprise;
- persons temporarily absent from work (persons on sick leave, paid leave, study leave, on strike, etc.);
- seasonal workers, trainees (apprentices) and home-workers who are on the pay-roll;
- persons employed under the contract for services.
Sale to non-residents – the revenue from the sale of goods and services to legal persons registered or natural persons residing abroad, i.e. outside Estonia.
Turnover (formerly ‘net sales’) – income from sale of all products, goods and services received or to be received, which does not include VAT and excises. Turnover is equal with the pay received or to be received and is calculated on a accrual basis accounting. Turnover excludes subsidies.
Value added – (at factor cost) the gross income from operating activities after adjusting for operating subsidies and indirect taxes.
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 whose main activity is information and communication; real estate activities; professional, scientific and technical activities; administrative and support service activities; education; human health and social work activities; arts, entertainment and recreation; or other service activities
List of active enterprises whose main activity is information and communication; real estate activities; professional, scientific and technical activities; administrative and support service activities; education; human health and social work activities; arts, entertainment and recreation; or other service 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.
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 – thousand euros
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 ACT
Official Statistics Act
Organisation for Economic Co-operation and Development (OECD)
United Nations Organisation (UNO)
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/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. On 1 October each year, the release times of the Statistical Database, news releases, main indicators by IMF SDDS and publications are announced in the release calendar (in 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 an equal access to official statistics: this means that the dissemination dates of official statistics have to be announced in advance and no user category (incl. Eurostat, state authorities and mass media) can have access to the official statistics (results of official statistical surveys) before other users. Statistical information is first published in the Statistical Database. In case a news release is published based on the same data, the information provided in the relevant news release is simultaneously published in the Statistical Database. Official statistics are available on the website at 8.00 a.m. on the date announced in the release calender.
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.
„Eesti statistika aastaraamat. Statistical Yearbook of Estonia”
10.3. Online database Information about on-line databases in which the disseminated data can be accessed.
Data are published under the heading „Economy/ Service activities” in the Statistical Database in 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 micro-data and anonymisation of micro-data 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.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
Commission regulation (EC) No 250/2009 of 11 March 2009 implementing Regulation (EC) No 295/2008 of the European Parliament and of the Council as regards the definitions of characteristics, the technical format for the transmission of data, the double reporting requirements for NACE Rev.1.1 and NACE Rev.2 and derogations to be granted for structural business statistics
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.
Data on the quality of the population, sample and respondents are published in the Statistical Database.
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, EU Statistics Code of Practice and the ESS Quality Assurance Framework (QAF). Statistics Estonia is also guided by the requirements provided for 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 includes, among other things, 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.
Ministry of Economic Affairs and Communications
Ministry of Social Affairs
Ministry of the Interior
Users’ suggestions and information about taking them into account are available on the SE website https://www.stat.ee/statistikatood.
12.2. User satisfaction Measures to determine user satisfaction.
Since 1996 Statistics Estonia conducts reputation surveys and user surveys.
All results are available on the website 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.
Standard error estimates have been computed for considerable aggregated data.
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 released 442 days upon the end of the reference year (T+442).
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 calender.
15. Coherence and comparability
15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.
The data are comparable with the data of other European Union Member States.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
The data are comparable since 2005.
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.
The outputs of the statistical activity are coherent. Higher-level aggregations are derived from detailed data according to pre-defined procedures.
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 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, if errors are discovered, if 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.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activity 20300 „Annual financial statistics of enterprises” 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.
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 indicators to be published are calculated on the basis of the collected data.
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.