Title of statistical activity: Financial statistics of enterprises (annual)
Code of statistical activity: 20300
- 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 9133
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.
Enterprises’ assets, liabilities and equity; investments in fixed assets; income statement, employment and hours worked; value added and productivity characteristics; financial key ratios 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 Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2
Classification of Estonian administrative units and settlements (EHAK)
3.3. Sector coverage Main economic or other sectors covered by the statistics.
Agriculture, forestry and fishing
Mining and quarrying
Electricity, gas, steam and air conditioning supply
Water supply; sewerage, waste management and remediation activities 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 activities
Administrative and support service activities
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.
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. Annual statistics cover only branches of foreign companies with 20 or more persons employed and sole proprietors. Statistical unit is an enterprise.
Equity – (net assets) the owners’ interest on the assets of the enterprise after deducting liabilities.
Fixed assets – assets purchased for long-term use in an enterprise, usually more than one year. Investment property – real estate object (land, building or part of building) held to earn rental income, for capital appreciation or for both, but not for use in production of goods or services, for administrative purposes or for sale within routine business activity.
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 under an agreement (contract of employment) and receive compensation (wages, salaries, fees, gratuities, piece-rate pay, remuneration in kind.
Number of enterprises – the number of active enterprises, i.e. enterprises which were economically active in the reference period (turnover, expenditure, etc.).
Personnel expenses – wages and salaries, social tax and unemployment insurance premium.
Persons employed – all persons who work for the enterprise irrespective of the length of their work 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, 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 abroad or natural persons permanently residing 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.
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
Enterprises, excluding financial intermediation enterprises. Non-market producers are excluded from the population.
List of active enterprises, excluding financial intermediation enterprises. 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
Counties – data for enterprises with 20 or more employees
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 ACTS
Regulation (EC) No 295/2008 of the European Parliament and of the Council of 11 March 2008 concerning structural business statistics (recast)
Commission Regulation (EU) No 446/2014 of 2 May 2014 amending Regulation (EC) No 295/2008 of the European Parliament and of the Council concerning structural business statistics, and Commission Regulations (EC) No 251/2009 and (EU) No 275/2010, as regards the series of data to be produced and the criteria for evaluation of the quality of structural business statistics (Text with EEA relevance)
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 (Text with EEA relevance)
Commission Implementing Regulation (EU) No 439/2014 of 29 April 2014 amending Regulation (EC) No 250/2009 implementing Regulation (EC) No 295/2008 of the European Parliament and of the Council concerning structural business statistics, as regards the definitions of characteristics and the technical format for the transmission of data (Text with EEA relevance)
Regulation (EC) No 138/2004 of the European Parliament and of the Council of 5 December 2003 on the economic accounts for agriculture in the Community
Commission Regulation (EC) No 306/2005 of 24 February 2005 amending Annex I to Regulation (EC) No 138/2004 of the European Parliament and of the Council on the economic accounts for agriculture in the Community
Commission Regulation (EC) No 909/2006 of 20 June 2006 amending Annexes I and II to Regulation (EC) No 138/2004 of the European Parliament and of the Council on the economic accounts for agriculture in the Community
Commission Regulation (EC) No 212/2008 of 7 March 2008 amending Annex I to Regulation (EC) No 138/2004 of the European Parliament and of the Council on the economic accounts for agriculture in the Community
OTHER LEGAL ACTS
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 § 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.
8.1. 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.
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 § 33, § 34, § 35, § 36, § 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.
Data serve as input for statistical activities 10101 “Environmental protection expenditure accounts”, 10104 “Environmental taxes accounts”, 10406 “Air emissions accounts”, 20103 “Construction volume indices”, 20319 “Financial statistics of foreign affiliates”, 20407 “Consumer price index”, 20408 “Producer price index of industrial output”, 20505 “Community survey on ICT usage and e-commerce in enterprises”, 20901 “Business register for statistical purposes”, 20904 “Enterprise groups”, 21207 “Economic accounts for agriculture”, 21401 “National accounts (annual)”, 21403 “Tourism satellite accounts”, 21406 “Regional GDP”, 21407 “Sector accounts”, 21408 “Supply and use tables”, 22201 “Production indices” and 50101 “Regional development”.
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.
The quality report has been submitted to Eurostat.
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.
Ministry of Economic Affairs and Communications
Ministry of Social Affairs
Ministry of the Interior
Eesti Pank (central bank of Estonia)
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.
The error due to probability sampling is estimated for more important indicators.
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.
The response rates in different groups are published in the Statistical Database.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are published 360 days after the end of the reference year (T + 360).
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.
Data is in general comparable with European Union Member States as he statistics are produced following the principles of SBS (Structural business statistics) regulation.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
The data are comparable since 2005.
2000–2007 the activity classification NACE Rev. 1.1. was in use. Starting from 2008, NACE Rev. 2 (Estonian Classification of Economic Activities 2008 (EMTAK 2008)) was implemented (back casted data for 2005–2007).
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
The data collection bases on active enterprises in the Business Register for statistical purposes compiled by November of year t. During the data production process the activeness of enterprises, have to be adjusted: non-active enterprises are excluded and some out of scope influential units by total assets or turnover are added.
In data editing process, data check rules are implemented to guarantee the same value of turnover from industrial activities with the Prodcom survey (22203 Manufactured goods and industrial services) on unit level.
The comparisons with the short-term statistics data (turnover, investments, number of persons employed) on unit and aggregated level are carried out. Differences of aggregated data are caused from the use of different sampling frames — the updated frame compiled by November of year t is used for producing annual business statistics of year t and for short-term statistics of year t+1.
The difference with the Business Demography (BD) is mainly caused by the inclusion of sole proprietors in BD. Data are in accordance with National Accounts (NA) and is the main data-source for non-financial corporations' sector.
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.
Cost of statistical activity 253.4 thousand euros (data for 2018)
Total time of filling in reports of the statistical activity, working days: 2884.0
Average time of filling in the reports, hours per report:
EKOMAR F41 4.2
EKOMAR G45 3.5
EKOMAR G46 3.2
EKOMAR G47 3.3
EKOMAR H49 3.1
EKOMAR J62 2.9
EKOMAR M732 2.6
EKOMAR M711 2.5
EKOMAR M712 3.6
EKOMAR M731 2.1
EKOMAR N78 2.0
Põllumajandus-, metsamajandus- ja kalandusettevõtted 4.0
EKOMAR B-E 3.6
EKOMAR H52_N 2.9
EKOMAR IH53P_Q 2.8
(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.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
Data are collected from active enterprises, excl. financial intermediation enterprises. Total population is 90,000 objects. The sample includes 9,600 objects.
All state and local government enterprises as well as private enterprises with 20 or more persons employed are surveyed. Private enterprises with less than 20 persons employed are sampled by economic activity and number of persons employed. Stratified simple random sampling is in use.
Since the reference year 2013 survey based data are not used for manufacturing enterprises with less than 10 persons employed, since 2014 for construction and retail enterprises with 1 person employed, since 2015 for other trade and service enterprises with 1 person employed. Their data are estimated by using models on the basis of annual reports data from the commercial register.
Annual reports of enterprises are received from the commercial register of the Centre of Registers and Information 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); business income of a natural person (Form E, used to compile financial statistics of sole proprietors).
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).
The data from the Tax and Customs Board are received via X-Road and an FTP-server. The data from the commercial register are recieved via X-Road.
18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.
The input data are checked and, if necessary, corrected according to specified rules, and the compliance of estimated statistics with the quality requirements is checked as well: the coverage of the general sample, the response rate and internal coherence are checked, comparisons are made with previous periods and other data.
18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.
For statistical units weights are calculated, which are used to expand the data of the sample survey to the total population. The data collected by sample survey are expanded to the total population separately in each stratum. The expansion factor is the ratio of each subpopulation to the number of respondents in that stratum. To compensate for non-response recalculation of weights is used. In the case of missing or unreliable data, estimate imputation based on established regulations will be used.
The data of non-responded enterprises with more than 19 persons employed and essential smaller enteprises are imputed based on administrative data, data of the previous period or available data from short-term statistics.
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. Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, calculation of indices.
The collected data are converted into statistical output. This includes calculating additional indicators.
The input data from enterprises’ annual reports are used for directly related characteristics. Missing or not reported characteristics are estimated by a model on enterprise level. Simple ratio adjustment method is used on the basis of enterprises’ or base year 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.
Since 2016 the statistical activities 20320 “Annual economic indicators of construction enterprises”, 20321 “Annual economic indicators of trade enterprises”, 20322 “Annual economic indicators of real estate”, 20323 “Annual economic indicators of service enterprises”, 20324 “Annual economic indicators of transport enterprises”, 20325 “Annual economic indicators of tourism and accommodation”, 20326 “Annual economic indicators of industrial enterprises” and 20503 “Annual accounts of information and communication technology sector” are merged with the activity 20300 “Financial statistics of enterprises (annual)”.
With the listed statistical activities, the indicators of enterprises of selected economic activities were compiled to be published as a separate table.
Since 2018 the statistical activity 20003 “Financial statistics of agricultural, forestry and fishing enterprises (annual)” was merged with the activity 20300.