Title of statistical activity: Community Survey on ICT usage and e-commerce in Enterprises

Code of statistical activity: 20505

  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.

Enterprise and Agricultural Statistics Department

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

Tiina Pärson

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

Leading Statistician-Methodologist

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 9233

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.

Enterprises using computers; Internet connection and use of mobile Internet in enterprises, ICT specialists in enterprises, enterprises using management software, enterprises sending/receiving e-invoices and enterprises using web sales by economic activity 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

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

The survey covers enterprises with 10 and more persons employed according to Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2

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

Broadband – continuous Internet connection (ADSL, cable, etc.). In contrast to dial-up service, the data transmission speed is also higher with wide bandwidth, i.e. broadband connection.

CRM (Customer Relationship Management) – integrated data system for planning and managing activities prior to and after sales, and for collecting, integrating, processing and analysing client-related information.

Digital signature – a data set added to an electronic document linking the document to the signee. In Estonia, a digital signature is the legal equivalent of a hand-written signature.

xDSL (... Digital Subscriber Line: ADSL, SDSL, etc.) – asymmetric, symmetric, etc. digital subscriber line; a family of technologies which allow high bandwidth services to be transmitted over telephone lines.

E-invoice – the invoice information is transferred electronically from the invoice issuer’s IT system directly to the recipient’s IT system (using XML, EDI, etc.), enabling automatic processing and/or printing.

ERP (Enterprise Resource Planning) – integrated management system for important business components, including product planning, supply, inventory, marketing, customer management, tracking orders, etc.

ISDN (Integrated Services Digital Network) – a digital network of integrated services; an international communications standard that allows the transmission of several data streams simultaneously over telephone lines.

Number of computers – PCs, servers, handheld computers, computer stations (terminals).

Persons employed – working:

- proprietors and unpaid family members;

- full- and part-time employees who are on the payroll;

- persons who work outside the unit (sales representatives, delivery personnel, repair and maintenance teams, etc.) but who are on the staff list and payroll of the enterprise;

- persons temporarily absent from work (persons on sick leave, paid leave, study leave, on strike, etc.);

- seasonal workers, trainees (apprentices) and homeworkers who are on the payroll;

- persons employed under contract for services.

Privacy statement describes how an organisation managing a website uses personal data (name, contact data, purchase preferences, etc.) collected during the use of the website.

Website – a HyperText document located on the web (WWW). For building websites HTML Markup language is used, which defines the content (images, text, HyperText, video and audio files) and design of the website.

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 with 10 or more persons employed


List of active enterprises with 10 or more persons employed. 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.

Not applicable

4. Unit of measure The unit in which the data values are measured.


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 (Ec) No 1006/2009 of the European Parliament and of the Council of 16 September 2009 amending Regulation (EC) No 808/2004 concerning Community statistics on the information society

Regulation (EC) No 808/2004 of the European Parliament and of the Council of 21 April 2004 concerning Community statistics on the information society


Not available


Not available

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 § 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. Release policy Rules for disseminating statistical data to interested parties.

8.1. Release calendar The schedule of statistical release dates.

Notifications about 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 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.

The news release “Information technology in enterprises and households” once a year. The news release can be viewed on the website at http//www.stat.ee/news-releases.

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 subject area “Economy / Information technology and communications” 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 § 34, § 35, § 36, § 37, § 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.

Not used

10.6. Documentation on methodology Descriptive text and references to methodological documents available.

The model questionnaire and methodological manual of Eurostat


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

A quality report is sent to Eurostat for each survey period.

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 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.

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.
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.

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.

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 260 days after the end of the reference period (T + 260).

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 are comparable with the data of other European Union countries.

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.

There is no connection with other fields.

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

The outputs of the statistical activity are coherent.

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

Total time of filling in reports of the statistical activity, working days: 359.1

Average time of filling in the reports, hours per report:

Infotehnoloogia ettevõttes: 1.0

(data for 2016)

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.

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.


Population includes 6,600 objects. The sample includes 3,400 objects.

Enterprises with 50 or more persons employed are completely observed, among enterprises with 10–49 employees stratified sampling by economic activity is used.


Annual reports of enterprises are obtained from the Commercial Register. Data on the following tax returns are obtained 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).


Data from statistical activity 20300 “Financial statistics of enterprises (annual)” 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 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 annual statistical questionnaire “Infotehnoloogia ettevõttes”.

The data from the Tax and Customs Board are obtained via X-Road and FTP server. The data from the Commercial Register are obtained 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 other data. Before data dissemination, 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.

In the case of missing or unreliable data, estimates 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. This includes summation of data according to the classification and calculating various statistical measures, e.g. average, median, dispersion, etc. The collected data are converted into statistical output. This includes calculating additional variables.

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