Title of statistical activity: Information technology in households

Code of statistical activity: 20506

  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.

Population and Social Statistics Department

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

Katriin Põlluäär

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.

20 Narva mnt, 51009 Tartu, 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 9174

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.

Households with Internet connection at home by type of household, place of residence and type of Internet connection

Households without Internet connection at home by place of residence and reason for not having Internet

Computer and Internet users aged 16–74 by group of individuals, place of residence and location of use

Users of Internet commerce aged 16–74 by group of individuals and place of residence

Individuals aged 16–74 buying/ordering on the Internet by type of goods/services and place of residence

Individuals aged 16–74 by group of individuals, place of residence and Internet use skills

Internet users aged 16–74 by place of residence and purpose of using the Internet

3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.

International Standard Classification of Occupations (ISCO 08)

National Standard Classification of Education (ISCED 2011)

Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2

Classification of Estonian administrative units and settlements (EHAK)

Codes for the Representation of Names of Languages (ISO 639-2)

Classification of Ethnicities 2013

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

Estonian residents aged 16–74 and their households

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

Adult – a household member aged 16 and above.

Cable TV – the signal (TV programs) is received by means of a cable connection.

Child – a household member aged 0–15 years.

Desktop computer – stationary computer that has a keyboard and a monitor, usually on a desk.

Digital TV – the signal (TV programs) is received digitally and converted by a special converter for ordinary TV.

Employed – a person who during the reference periood

- worked and was paid as a salaried employee, entrepreneur or freelancer;

- worked without direct payment in a family enterprise or on his/her own farm;

- was temporarily absent from work.

Fixed wireless broadband connection – technologies that allow connection to the Internet via air at a fixed location, e.g. WiFi and WiMax.

Game console – an electronic device for game play, which usually uses TV as a monitor (e.g. Sony PlayStation, Nintendo GameCube, Microsoft Xbox).

Handheld computer – a computer that is small enough to be held in one's hand with a small keyboard or touch screen.

Household – a group of people who live in a common main dwelling (at the same address) and share joint financial and/or food resources and whose members consider themselves to be one household. Household can also consist of one member only. Households are divided by the number of adults and the existence of children.

Internet – a global system of linked computer networks that allows data communication services such as remote log-in, file transfer, electronic mail, etc. The Internet is also the foundation for the World Wide Web.

Internet commerce (e-commerce) – transactions of buying and selling on the Internet.

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.

Modem – a device that connects the computer to a telephone line and converts computer’s digital signals into analog signals at the sender’s end and vice versa at the receiver’s end.

Not in the labour force / inactive population – persons who do not wish or are not able to work.

Other fixed broadband connection – wired Internet connection that do not belong under DSL technologies (transmitted over telephone lines), e.g. Internet connection via a cable TV Network.

Portable computer – portable computer with built-in keyboard and display.

Rural settlements – small towns and villages.

Satellite TV – the signal (TV programs) is received by a parabolic antenna.

Unemployed – a person who fulfils the following three conditions:

- he or she is without work (does not work anywhere at the moment and is not temporarily absent from work);

- he or she is currently (within two weeks) available for work if work is found;

- he or she is actively seeking work.

Urban settlements – cities, cities without municipal status and towns.

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.

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.

Permanent residents of Estonia aged 16–74 and their household members, excluding persons living in institutions (children’s homes, care homes, monasteries, convents, etc.)


A list of 16–74-year-old permanent residents of Estonia compiled on the basis of the population and housing census (2011) and the Population Register

3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.

Estonia as a whole

Regional units


Urban and rural settlements

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.

Persons – number

Financial indicators – euro

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 808/2004 of the European Parliament and of the Council of 21 April 2004 concerning Community statistics on the information society

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


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

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.

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 https://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 the subject area “Economy / Information technology and communications / Information technology in household” and “Social life / Households / Household living conditions” 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 activity 50101 “Regional development”.

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

Eurostat’s model questionnaire and methodological manual:


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

The quality report, which is sent to Eurostat is available at http://ec.europa.eu/eurostat/web/digital-economy-and-society/methodology.

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 180 days after the end of the reference period (T + 180).

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.

At the Estonian level, the data are georgraphically comparable across counties and Tallinn. At the European level, data are geographically comparable by country, population density and rate of urbalisation. The questions and concepts used in the survey, and the data are comparable at the European level; differences occur in Estonian national questions.

15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.

The data are comparable over time. The differences in data for 2013 and 2014 can be caused by changes in methodology due to transition from survey conducted as part of the Labour Force Survey to a separate survey.

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.

Due to rounding, the sums received by adding numbers in tables are not always equal with the total. The difference can be up to some last decimal places.

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

Cost of statistical activity 21.5 thousand euros (data for 2018)

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.


The population is 1,102,000 persons aged 15 and above. The sample includes 6,500 persons. The type of sampling is simple random stratified sampling by place of residence.


The data on loss of capacity for work and on degree of disability are received from the Social Insurance Board.

The data on a person’s highest level of education completed according to ISCED 2011 (International Standard Classification of Education) are received from Statistics Estonia’s population base (which is based on educational data of different national registers).

The data on a person’s ethnic nationality, citizenship and country of birth are received from the statistical person’s register of Statistics Estonia (which is based on data of different national registers).


Not 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.

The data are collected from persons. Data colletcion methods are computer-assisted web interviewing (CAWI) and computer-assisted telephone interviewing (CATI). Computer-assisted telephone interviews are conducted by accordingly trained telephone interviewers of Statistics Estonia. Observation fieldwork information system (VVIS) is used in order to manage and monitor the data collection process. The questionnaires are designed to be completed on the computer by the interviewer. 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 are collected with the official statistics quarterly questionnaire “Information technology in households and by individuals”.

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, data internal coherence 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, estimate imputation based on established regulations will be used.

Variables and statistical units which were not collected but which are necessary for producing the output are calculated or linked with statistical register of persons. 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 new variables.

Weights are calculated for statistical units and the data collected by a sample survey are expanded to the whole population.

Microdata are aggregated to the level necessary for analysis. This includes aggregation of the data according to the classification and calculating various statistical measures, e.g. average, median, dispersion, etc. Only estimates which are based on 20 or more respondents are published.

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.

Not applicable

19. Comments Supplementary descriptive text which can be attached to data or metadata.

Not available