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Vocational education

Area
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  2. Education
  3. Vocational education
After graduating from basic or secondary school, it is possible to continue studying at a vocation school in order to learn a trade. Vocational schools enrol adults as well. These schools provide professional education, teaching practical skills to start work as a welder, assembler, electrician, gardener, cook or hairdresser. Modern vocational education institutions offer many exciting specialties. Vocational education statistics provide information, such as: how many vocational education institutions there are in Estonia and where they are located; which fields of study are available; how

Higher education

Area
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  2. Education
  3. Higher education
After graduating from secondary school, young people face several choices. One option is to enrol in a higher education institution. The higher education system in Estonia has three levels: professional higher education and Bachelor’s study; Master’s study; Doctoral study. Each student can decide whether to complete all three levels of education or finish studies after receiving a professional education diploma, Bachelor’s or Master’s degree. Usually, the acquired level of education and the field of education determine one’s career path. Higher education statistics provide the following

Environmental subsidies and similar transfers accounts

ESMS metadata
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  2. Methodology and quality
  3. Environmental subsidies and similar transfers accounts

Working Life Survey

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  2. Working Life Survey
What kind of survey is it? The Working Life Survey provides an overview of work and working time organisation, occupational health, remunerations, employee development and involvement, and collective employment relations in Estonia. Both employers and employees are surveyed to get a comprehensive picture of working life and employment relations in Estonia, to assess the influencing factors, and to compare changes over time. Who commissions the survey? For the survey, the main representative of public interest is the Ministry of Social Affairs. Why are the data needed? The data from the Working

Revised data: average wages and salaries were €2126 in the second quarter

Date 01.09.2025
Article
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  3. Revised data: average wages and salaries were €2126 in the second quarter
In the second quarter of 2025, the average monthly gross wages and salaries were the highest in Tallinn (€2,479), in Harju county (€2,365), and in Tartu county (€2,175). “Compared with the second quarter of last year, the biggest increase in wages and salaries was seen in Põlva county (7.7%) and Rapla county (7%). The smallest wage increase was registered in Ida-Viru county (3.8%),” said Sigrid Saagpakk, analyst at Statistics Estonia. In this year's second quarter, the average monthly gross wages and salaries were the highest in information and communication (€3,704), financial and insurance

European Social Survey

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  2. European Social Survey
What kind of survey is it? The European Social Survey (ESS) identifies the social structure of European countries and people’s living conditions, and analyses the attitudes, beliefs, and behaviour of people in relation to the development of institutions. Who commissions the survey? The survey is funded by the Estonian Research Council and the Ministry of Social Affairs. Why are the data needed? The aim of the European Social Survey is to bring together high-quality data to study the development of societies and people's behaviour. It is an international social science survey, the results of

Lowest-ever gender pay gap recorded in Estonia last year

Date 23.04.2026
Article
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  3. Lowest-ever gender pay gap recorded in Estonia last year
“In 2025, average gross hourly wages were 13 euros for men and 11.4 euros for women, meaning that women’s wages were 12.2% lower. This means that the gender pay gap in Estonia was the narrowest ever,” said Krista Vaikmets, leading analyst at Statistics Estonia. She added that the gender pay gap has decreased by 10.7 percentage points in the last 15 years. Wage inequality is the greatest in financial and insurance activities Looking at individual economic activities, the indicators vary. “In 2025, the gender pay gap was the biggest in financial and insurance activities (23.6%), wholesale and

Business Survey

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  2. Business Survey

What kind of survey is it?

There are four separate Business Surveys to collect information from enterprises in four sectors: construction, industry, trade, and services. The surveys are used to monitor developments in the business activities of the relevant enterprises, and the underlying factors. The collected data help to assess economic trends at the country, European Union (EU) and euro-area level.

A confidence indicator is produced for each surveyed sector, and the overall Economic Sentiment Indicator is calculated based on these. The survey also provides early and relevant information

Census questionnaire

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  2. Census questionnaire
I. Organisation of Population and Housing Census 1. Population and Housing Census (hereinafter: Census) shall be conducted from 31 March to 9 April 2000 (hereinafter: time of Census). The Census moment is at 00:00 on the eve of 31 March 2000. The data collected in the Census shall relate to Census moment. 2. The Census is preceded by a preliminary visit and followed by a post-enumeration sample survey. 3. Census covers natural persons (hereinafter: persons), households and dwellings and buildings containing dwellings. Persons who live together and are linked by a common use of all available

Definitions

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  2. 2000 Population and Housing Census
  3. Definitions
Age Area of the dwelling Branch of economic activity Building Child in family nucleus → Family nucleus Child in the household Citizenship Cohabitant Comfort characteristics Command of foreign languages Composition of household Conscript Construction time of building Conventional dwelling → Dwelling Country of birth Couple De facto marital status De facto population Disability Duration of temporary absence Duration of temporary presence Dwelling Economically active population Economically inactive population Education Employed Employment status Ethnic nationality Family = Family nucleus Family

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