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Estonian Health Survey

ESMS metadata
  1. Home
  2. Methodology and quality
  3. Estonian Health Survey

1. No Poverty

Area
  1. Home
  2. Sustainable development
  3. 1. No Poverty
The focus of the global goal “No Poverty” is to end poverty by reducing it through strengthening social protection systems and increasing employment and incomes. The 2030 Agenda set the target to reduce by 2030 at least by half the share of men, women and children who according to national definitions live in poverty in any of its dimensions. The measure for ending poverty is social protection of vulnerable social groups, incl. adequate systems of subsistence benefits and pensions. It is important to pay attention to the social protection of people who live in areas of frequent natural

Work life quality

Area
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  2. Statistics by theme
  3. Work life quality
The culture and meaning of work have changed significantly over time. In addition to earning an income to cover basic needs, people expect self-growth and self-realisation opportunities from their jobs. Work life quality at the society level means healthy and skilled jobs for as many people as possible in order to ensure high employment and productivity. Employers hope to find people with suitable skills from the labour market. Employees wish to work secure, safe and interesting jobs, which are also flexible enough to allow contributing to the society outside the job and enjoying fulfilling

The number of job vacancies was still over 10,000

Kuupäev 11.03.2022
Article
  1. Home
  2. The number of job vacancies was still over 10,000
According to Statistics Estonia, in the fourth quarter of 2021, there were 11,103 job vacancies in the enterprises, institutions and organisations of Estonia. This is 28% more than in the same quarter of 2020. About 7,500 persons left their jobs on the employer’s initiative.

In the third quarter, wage growth was one of the biggest in recent years

Kuupäev 26.11.2021
Article
  1. Home
  2. In the third quarter, wage growth was one of the biggest in recent years
According to Statistics Estonia, in the third quarter of 2021, the average monthly gross wages and salaries were 1,553 euros, which is 7.8% more than the year before. Gross wages and salaries were highest in Harju and Tartu counties, and in information and communication, financial and insurance activities and the energy sector.

Parental benefit gender gap was the lowest ever (Corrected on 30.06.2022)

Kuupäev 29.06.2022
Article
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  2. Parental benefit gender gap was the lowest ever (Corrected on 30.06.2022)
According to Statistics Estonia, in 2021, the average monthly parental benefit was 1,205 euros for women and 1,463 euros for men. Last year, a total of 38,882 persons received parental benefit and a third of them were men.

Estonia wins 3rd prize in the European Big Data Hackathon

Kuupäev 21.03.2017
Article
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  2. News
  3. Estonia wins 3rd prize in the European Big Data Hackathon
On 13–15 March in Brussels, the Estonian team won the 3rd prize, after Croatia and France, in the "European Big Data Hackathon", organised by the European Commission statistical office Eurostat.

Whom will enumerators call in February, and why?

Kuupäev 10.02.2022
Article
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  2. News
  3. Whom will enumerators call in February, and why?
The Population and Housing Census continues in February but on a smaller scale and mainly as phone interviews. Home visits, which were used during the previous census, will be kept to a minimum by Statistics Estonia, to prevent the spread of any viruses.

The highest numbers of job vacancies in education, trade and manufacturing

Kuupäev 09.12.2021
Article
  1. Home
  2. The highest numbers of job vacancies in education, trade and manufacturing
According to Statistics Estonia, in the third quarter of 2021, there were 11,518 job vacancies in the enterprises, institutions and organisations of Estonia. This number increased by a third year on year. More than 8,500 persons left their jobs on the employer’s initiative.

Gender pay gap

Area
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  2. Statistics by theme
  3. Gender pay gap
Gender pay gap refers to the difference between the average gross hourly wages and salaries of male and female employees by economic activity at the letter code level. Part-time employees' earnings are also taken into account when comparing gross hourly wages and salaries. Hourly wages and salaries are used to calculate the gender pay gap on the basis of a pan-European methodology. The gender pay gap is calculated by subtracting the average gross hourly wages and salaries of female employees from those of male employees and dividing the difference by the average gross hourly wages and salaries

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