Title of statistical activity: Integration

Code of statistical activity: 40023

  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.

Kaire Raasik

1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".

Leading Analyst

1.5. Contact mail address The postal address of the contact points for the data or metadata.

51 Tatari Str, 10134 Tallinn, 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 8483

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.

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.

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

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)

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

Estonian-speaking population and population speaking other languages / population by native origin

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

Bachelor’s study – studies at the first level of higher education during which a student improves his or her general educational knowledge and 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. The completion of Bachelor’s studies is, in turn, the prerequisite for enrolment in Master’s studies.

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.

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.

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.

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 commencement of the acquisition of professional higher education 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.

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).

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.

Total population; 15‒74-year-old persons for labour force indicators.


Not applicable

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

Estonia as a whole

3.8. Time coverage The length of time for which data are available.

Employment indicators 2000‒…

Education indicators 2014–…

Income and poverty indicators 2013–…

Population indicators 2012–…

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

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.


Not available




Development plan “Integrating Estonia 2020”

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 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).

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.

Not published

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.

Integration, http://pub.stat.ee/px-web.2001/I_Databas/Multidomain_statistics/Integration/Integration.asp

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.

Not used

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

Not available

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

Not available

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 Culture

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.

The data are compliant with requirements.

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.

Not applicable

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.

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.

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.

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.

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

The data have been published since 1 January 2012. The methodology has not changed over time, but the data completeness has improved over time.

15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.

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.

15.4. Coherence - internal The extent to which statistics are consistent within a given data set.

The data are coherent, except for the origin of population, where it is not possible to estimate the coherence.

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

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.

Not applicable

18. Statistical processing

18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.


Not used


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 statistical activities 40701 “Labour Force Survey” and 30101 “Population” are 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.

Administrative data are received from the Estonian Education Information System (EHIS) via a data cloud.

18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.

The data are compared with the data of previous periods.

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. 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.

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 applied

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

Not available