Blue collar workers – service and sales workers, skilled agricultural, forestry and fishery workers, craft and related trades workers, plant and machine operators and assemblers and elementary occupations.

Communication over the internet – use of the e-mail, messenger, VoIP (Voice over IP), chat rooms and other means of the communication over the internet in one’s spare time.

Culture and media consumption over the internet – watching TV, listening to radio, downloading and reading e-publications (i.e. books, newspapers, magazines), also downloading and consumption of audio books, computer graphics, music, films, etc. over the internet one’s spare time.

Dependent child – a household member aged 0–17 (as at the date of the filling the questionnaire) or a household member aged 18–24 who is living with at least one parent and who is economically inactive by main social status.

Entertainment over the internet – online gaming, playing in casinos and other entertainment over the internet in one’s spare time.

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.

Look for the information over the internet – looking for information about the products and services, weather forecast, health and other topics over the internet in one’s spare time.

Management of public business over the internet – sending data, filling forms and declarations, digital signing, voting and other management of public business over the internet in one’s spare time.

Rural population – population of small towns and villages.

Tertiary education – professional secondary education after secondary education, professional higher education, applied higher education, professional higher education, diploma study, bachelor’s, master’s or doctoral degree.

Upper secondary education – professional secondary education after basic education, vocational education together with upper secondary education, professional secondary education after basic education, general secondary education or professional secondary education after secondary education.

Urban population – population of cities, cities without municipal status and towns.

Wage quintile – one fifth of the wage employees ordered by disposable earnings. The first or the lowest quintile contains one fifth of the wage employees receiving the lowest wages, the second quintile contains the next fifth and so on.

White collar workers – managers, professionals, technicians and associate professionals, clerical support workers.


Indicators are provided using the data of the Time Use Survey conducted by Statistics Estonia. The Time Use Survey provides an overview about the time use of the people and gives a possibility to compare different groups. The survey is internationally harmonized and many European countries are involved in the survey, which also provides a possibility to compare data of different European countries.

The target population of the Estonian Time Use Survey includes the residents of Estonia aged 10 or more, except persons living in such institutional households like care homes, prisons, etc., for a long time, i.e. more than a year. Persons living or planning to live in Estonia for more than a year are considered the permanent population of Estonia. Sample persons were drawn from the Population Register by the stratified unproportional systematic sampling procedure. In case of this sampling procedure, the population is divided into non-overlapping subpopulations or strata, and independent subsamples are drawn separately from every subpopulation following the systematic sampling procedure and by applying different inclusion probabilities.

The data reflect the activity of at least 10-year-old persons of Estonia during the 12 months before the survey. As the Time Use survey started in 2009 and came to an end in 2010 both years have been presented there, nevertheless it still refers to the last 12 months and not to 24 months.

The sum of the data expressed in the tables may differ due to the rounding. The difference may be up to a couple of units.

The expansion of the data is based on the estimated population as of 1 January of the reference year. All the data presented are estimates of actual parameters. The estimates that are based on less than 20 persons of the sample have not been published (in tables the symbol “..”) as not sufficiently reliable.


Educational levels according to ISCED 97 codes

Below upper secondary education  0–2

no primary education  0, primary education  1

basic education  2

Upper secondary education  3–4

vocational education after basic education  3C

secondary education  3A

vocational education with secondary education  3A

vocational education after secondary education  4B

postsecondary technical after basic education  3A

Tertiary education  5–6

postsecondary technical after secondary education  5B

higher education  5A, master’s degree  5A and doctor’s degree  6


Maali Käbin

Population and social statistics department

Tel +372 625 9315

Last updated: 23.10.2019