Title of statistical activity: Labour market policy interventions (until 2014)

Code of statistical activity: 40903

  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.

Meelis Naaber

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

Leading Statistician-Methodologist

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 9392

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.

Registered unemployed persons (incl. the long-term unemployed) by sex and age group.

Participants in labour market services and measures (information services, labour market training, career counselling, coaching for working life, work placement, public work, wage subsidy, business start-up subsidy, etc.) by sex and age group.

Recipients of unemployment allowance and unemployment insurance benefits.

Expenditure on labour market services and measures.

Expenditure on unemployment allowance and unemployment insurance benefits.

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

LMP interventions are grouped into three main types of LMP services, LMP measures and LMP supports and then further classified into nine detailed categories according to the type of action.

A full description of the classifications used can be found in Labour Market Policy Database - Methodology - Revision June 2006.

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

Labour market policy interventions

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

Labour market policy (LMP) database. – The database covers all labour market interventions which can be described as „Public interventions in the labour market aimed at reaching its efficient functioning and correcting disequilibria and which can be distinguished from other general employment policy interventions in that they act selectively to favour particular groups in the labour market”.

Public interventions refer to actions taken by general government in this respect, which involve expenditure, either in the form of actual disbursements or of foregone revenue (reductions in taxes, social contributions or other charges normally payable).

Services refer to labour market interventions where the main activity of participants is job-search related and where participation usually does not result in a change of labour market status.

Measures refer to labour market interventions where the main activity of participants is other than job-search related and where participation usually results in a change in labour market status. An activity that does not result in a change of labour market status may still be considered as a measure if the intervention fulfils the following criteria:

- the activities undertaken are not job-search related, are supervised and constitute a full-time or significant part-time activity of participants during a significant period of time, and

- the aim is to improve the vocational qualifications of participants, or

- the intervention provides incentives to take-up or to provide employment (including self-employment).

Supports refer to interventions that provide financial assistance, directly or indirectly, to individuals for labour market reasons or which compensate individuals for disadvantage caused by labour market circumstances.

3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.

Labour market intervention

3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.

Registered unemployed and registered jobseekers at the Estonian Unemployment Insurance Fund


Register of the Estonian Unemployment Insurance Fund

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.


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.

Labour market policy expenditures – million euros, million kroons, as percentage of GDP

Labour market policy participants, persons registered with the Public Employment Services – annual average stock, number of entrants, number of exits

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.

Official Statistics Act





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 § 34 and § 35 of the Official Statistics Act and the Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009.

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/dokumendid/19410.

8. Release policy Rules for disseminating statistical data to interested parties.

8.1. Release calendar The schedule of statistical release dates.

Not applicable.

8.2. Release calendar access Access to the release calendar information.

Not applicable.

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 an equal access to official statistics: this means that the dissemination dates of official statistics have to be announced in advance and no user category (incl. Eurostat, state authorities and mass media) can have access to the official statistics (results of official statistical surveys) before other users. Statistical information is first published in the Statistical Database. In case a news release is published based on the same data, the information provided in the relevant news release is simultaneously published in the Statistical Database. Official statistics are available on the website at 8.00 a.m. on the date announced in the release calender.

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.

„Eesti statistika aastaraamat. Statistical Yearbook of Estonia”

10.3. Online database Information about on-line databases in which the disseminated data can be accessed.

Not applicable.

10.4. Microdata access Information on whether micro-data are also disseminated.

Not applicable.

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.

Labour Market Policy Database. Methodology. Revision of June 2006


Addendum to the 2006 LMP methodology (March 2009)


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

Not applicable.

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, EU Statistics Code of Practice and the ESS Quality Assurance Framework (QAF). Statistics Estonia is also guided by the requirements provided for 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.

The internal coherence of the data is ensured through systematic validation of the data. The consistent application of the LMP methodology should ensure a fair comparability of the data; nevertheless continuous efforts to maintain and improve comparability over time and between countries are made. Data are fairly complete but further improvements on the coverage (missing interventions at national and regional level) are aimed at.

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 Social Affairs

Ministry of Economic Affairs and Communications

Association of Municipalities of Estonia

Users‘ suggestions and information about taking them into account are available on the website https://www.stat.ee/statistikatood.

12.2. User satisfaction Measures to determine user satisfaction.

Since 1996 Statistics Estonia conducts reputation surveys and user surveys.

All results are available on the website https://www.stat.ee/user-surveys.

12.3. Completeness The extent to which all statistics that are needed are available.

Data for expenditure are well completed for most of the measures. For some measures the expenditure needs to be estimated. The situation for data on participants is relatively satisfactory. However, some of the indicators used for monitoring the Employment Guidelines require data on participants broken down by length of unemployment or by previous status, and the data according to these breakdowns are missing for most of the measures.

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.

LMP data are based on a full count of LMP interventions as defined in the LMP methodology.

Information for regional interventions is still incomplete.

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.

Coverage: countries might fail to include all interventions that fall under the scope of the LMP database; the magnitude of this error cannot be estimated.

Item non-response: not all items of the LMP questionnaire might be completed for all interventions.

14. Timeliness and punctuality

14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.

The data are released 210 days upon the end of the reference year (T+210).

14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.

Not applicable (gentlemen's agreement).

15. Coherence and comparability

15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.

Labour market policies vary a great deal between countries, but the data submitted to Eurostat are based on a common methodology, which should ensure sufficient comparability.

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

The same classification rules are applied each year, therefore the output should be comparable between years.

Data before and since 2006 should be compared with some caution as the new Labour Market Services and Benefits Act entered into force 1 January 2006.

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

Not applicable.

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

Internal coherence (e.g. between years, between expenditure and participants data, coherent classification of national interventions) is ensured through the application of the LMP methodology and through the various validations performed on the data before publication.

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

The data collection is based on administrative data so the main burden is on the Estonian Unemployment Insurance Fund and on Statistics Estonia.

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.

Data revision policy is described under item 2.3 of the Dissemination Policy of Statistics Estonia. Notification of corrections: https://www.stat.ee/dissemination-policy.

17.2. Data revision - practice Information on the data revision practice.

There are no planned revisions. Missing and provisional data for previous years are reviewed once a year, and revised if possible.

18. Statistical processing

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


Not used.


Data on labour market policy interventions, labour market services and supports, and operating expenses are received from the Estonian Unemployment Insurance Fund. For each intervention, data on expenditure and participants are received together with a detailed description of the intervention.


Not applicable.

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.

Data is gained from Estonian Unemployment Insurance Fund by e-mail. Data in provided in xls format according to the structure of the Labour Market Policy questionnaire. The items of the questionnaire are listed in the Labour Market Policy Database - Methodology - Revision June 2006 (Annex A1) http://ec.europa.eu/eurostat/cache/ITY_OFFPUB/KS-BF-06-003/EN/KS-BF-06-003-EN.PDF.

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

The validation process consists of arithmetic and quality checks, incl. comparison with other data.

- Data consistency within one year and between years is checked;

- Validation of input during data entry (automatic coherence checks);

- Validation module integrated in the LMP software, to be used by Member States once data entry is completed; the validation module runs a series of tests in order to identify errors, inconsistencies, etc;

- A set of standardised validations applied by Eurostat on the data submitted.

18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.

Data is delivered to Eurostat according to the structure of LMP questionnaire.

Missing data is replaced by estimates according to guidelines reccomended by Eurostat when possible.

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 applicable.