Statistical activity code: 40023
Acquisition of general education by language of study and mother tongue, acquisition of vocational and higher education by mother tongue, vocational education by mother tongue; poverty and material deprivation rate; equivalised yearly disposable income and income quintile; economically active persons; employed persons; inactive persons; unemployed and inactive persons by subsistence; unemployment rate; duration of unemployment; native and non-native population.
Classification of Estonian administrative units and settlements (EHAK)
Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2
National Standard Classification of Education (ISCED 2011)
Estonian-speaking population and population speaking other languages / population by native origin
Bachelor’s study – studies at the first level of higher education during which a student improves his or her general educational knowledge, acquires the basic knowledge and skills of a speciality and the knowledge and skills necessary for Master's studies and to commence work. The prerequisite for enrolment is the completion of secondary education or equivalent vocational education, or an equivalent qualification from a foreign country. (ISCED-P 665)
Doctoral study – studies at the highest level of higher education during which a student acquires the knowledge and skills necessary for independent research, development or professional creative activity. The prerequisite for enrolment is a Master’s degree or an equivalent qualification. (ISCED-P 864)
First generation – persons permanently living in Estonia who and whose parents were born abroad.
Foreign-origin population – persons permanently living in Estonia who do not belong to the native population. Foreign-origin population, has been divided into the first, second and third generation.
Integrated Bachelor’s/Master’s study – studies based on the integrated study programmes of Bachelor’s and Master’s studies, which include both initial training and specialised training. Single-step Bachelor’s/Master’s studies include medicine, veterinary medicine, pharmacy, dentistry, architecture, civil engineering and grade teacher studies. A graduate of pharmacy, architecture, civil engineering and grade teacher studies is awarded a Master’s degree. A graduate of medicine, dentistry and veterinary medicine is correspondingly awarded a Degree in Medicine, a Degree in Dentistry and a Degree in Veterinary Medicine. The qualification awarded upon completion of an integrated Bachelor’s or Master’s study programme entitles the graduate to apply for doctoral programmes. The prerequisite for enrolment is the completion of secondary education or equivalent vocational education (ISCED-P 766)
Master’s study – studies at the second level of higher education during which a student improves his or her knowledge and skills in his or her speciality and acquires the knowledge and skills necessary for independent work and Doctoral studies. The prerequisite for enrolment is a Bachelor’s degree or an equivalent level of education. (ISCED-P 767)
Native population – persons permanently living in Estonia, at least one of the parents and at least one of the grandparents of whom were born in Estonia.
Professional higher education – instruction provided at the first level of higher education during which a student acquires the competencies necessary for pursuing a particular profession or continuing their education in Master’s study. The prerequisite for enrolment is secondary education or equal foreign qualifications. A person who has acquired professional higher education has the right to continue their education in Master’s study on the conditions and in accordance with the procedure established by the council of the educational institution. (ISCED-P 665)
Second generation – persons permanently living in Estonia who were born in Estonia but whose parents were born abroad.
Third generation persons – permanently living in Estonia of whose parents at least one was born in Estonia but whose grandparents were all born abroad.
Upper secondary school – the grades from 10 to 12 of general education school (until 1989 the grades from 9 to 11). (ISCED-P 344)
Total population; 15‒74-year-old persons for labour force indicators.
Estonia as a whole
Employment indicators 2000‒…
Education indicators 2014–…
Income and poverty indicators 2013–…
Population indicators 2012–…
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.
The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia (in Estonian). See more details on the website of Statistics Estonia in the section Õigusaktid.
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).
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.
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 Access to microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes.
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.
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.
Ministry of Culture
Users’ suggestions and information about taking these into account are available on the website of Statistics Estonia at http://www.stat.ee/statistikatood.
Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys. All results are available on the website of Statistics Estonia in the section User surveys.
The data are compliant with requirements.
Education data are published at the end of the year about the previous academic year.
Data on population as at the beginning of the year are published at the end of the year.
Labour market data about the previous year are published in February.
The data have been published at the time announced in the release calendar.
The data are published by counties. Data for 2012–2016 have been published based on the administrative division before the administrative reform and, starting from 2017, based on the county borders formed after the administrative reform.
The data have been published since 1 January 2012. The methodology has not changed over time, but the data completeness has improved over time.
Native and foreign-origin population data are comparable with the 2011 Population and Housing Census data, but the results are not exactly the same. More data sources have been used to produce statistics on integration and data are more complete.
There are three data sources for measuring unemployment in Estonia: The Labour Force Survey of Statistics Estonia, the harmonised unemployment statistics of Eurostat and the registered unemployment data of the Estonian Unemployment Insurance Fund. The methodology of data collection and frequency of publishing vary across the data sources. In greater detail in the “Estonian Labour Force Survey. Methodology”, 6.1. (https://www.stat.ee/methodology).
When comparing education statistics with data from other sources, methodological differences should be taken into account.
The data are coherent, except for the origin of population, where it is not possible to estimate the coherence.
Data on admitted and enrolled students, graduates, early leavers and repeat students of general education, vocational and higher education institutions are received from the Estonian Education Information System (EHIS) of the Ministry of Education and Research.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activities 40701 “Labour Force Survey” and 30101 “Population” are used.
Administrative data are received from the Estonian Education Information System (EHIS) via a data cloud.
The data are compared with the data of previous periods.
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. 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.
Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measures.
The collected data are converted into statistical output. This includes calculating additional indicators.