Labour input, hours worked by employees

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Finland


Eurostat metadata
Reference metadata
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
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Statistics Finland

1.2. Contact organisation unit

Information and Statistical Services / Social Statistics / Working life and wages and salaries

1.5. Contact mail address

Information and Statistical Services / Working life and wages and salaries, 4th floor

FI-00022 Statistics Finland

Finland


2. Metadata update Top
2.1. Metadata last certified 20/05/2024
2.2. Metadata last posted 20/05/2024
2.3. Metadata last update 20/05/2024


3. Statistical presentation Top
3.1. Data description

STS indicator Number of hours worked by employees

The Finnish data for the STS indicator are obtained from the Finnish Labour Force Survey (LFS, Työvoimatutkimus). The Finnish LFS is a large continuous sample survey providing results on labour participation of people aged between 15 and 89. The monthly and quarterly Labour Force Survey data concern the 15 to 74 age group. The targets of the Finnish LFS are individual persons, not enterprises. For this reason, hours worked are covered regardless of employer sector. The quarterly population sample comprises of 37,500 persons.

The definition used for hours worked is similar to the STS definition. However, the change to hours worked by employees only (as defined in new Regulation (EU) 2020/1197) has been delayed. See 3.4 for more information.

Further information: https://stat.fi/en/statistics/documentation/tyti.

3.2. Classification system

The Standard Industrial Classification NACE rev. 2.0 is used.

3.3. Coverage - sector

 All economic activities and all size classes of enterprises are covered in the Finnish LFS.

3.4. Statistical concepts and definitions

STS indicator Number of hours worked by employees

The concepts and definitions used in the Finnish LFS follow the recommendations of the ILO and the regulations of Eurostat. In the basic classification of the labour market situation, the population is divided into the employed, the unemployed and the economically inactive.

Hours worked comprise all hours actually worked, including paid and unpaid overtime and hours worked in secondary jobs. Hours worked are included for employed persons as defined for STS indicator Number of employees and self-employed persons.

The concept of hours worked is equivalent to the STS definition. However, the indices of hours worked that were provided until spring 2022 had been calculated based on the hours worked by all employed persons, including the self-employed. The data, produced solely on the basis of employees, was backcalculated to 2009 and provided in June 2022.

The industrial activity is defined for the main jobs of employed persons according to the employer's establishment or the industry of one's own enterprise. The industrial activity of the LKAU is obtained mainly from the Business Register at Statistics Finland.

Accounting conventions: The sample is distributed evenly over all weeks of the year. The number of hours actually worked during the survey week are inquired. Working days and hours worked are estimated basing on the number of calendar days in the month concerned. Quarterly and annual estimates of working days and hours worked are sums of monthly estimates.

3.5. Statistical unit

The statistical unit, the observation unit as well as the reporting unit, is a person aged between 15 and 89. Quarterly data concern the 15 to 74 age group.

The employed person is linked to the LKAU at Statistics Finland.

3.6. Statistical population

The target population of the Labour Force Survey consists of persons aged between 15 and 89 who are permanent residents of Finland. Quarterly data concern the 15 to 74 age group. The population also comprises persons residing temporarily abroad as well as foreign nationals registered in the Finnish Population Information System.

The sample of the Labour Force Survey is drawn twice a year as a stratified random sample from Statistics Finland’s population database, which is based on the Central Population Register.

3.7. Reference area

The whole country is covered, including the Autonomous Territory of the Åland Islands.

Indicator Number of employees and self-employed persons includes also a small number (fewer than 0.5 per cent of all persons employed) of persons who work outside the national territory even though they may reside in Finland (see 3.6 for target population). As a consequence, the hours worked abroad by these persons are also included in the indicator Hours worked.

Correspondingly, persons working but not living in Finland, and the hours worked by them, are not covered.

3.8. Coverage - Time

The Finnish Labour Force Survey (LFS) started in 1959. Finnish LFS data have been delivered to Eurostat since 1995. The time series data for STS indicators start from the year 1989. The current STS time series data (NACE rev.2) start from the year 2000, except for:

- the NACE divisions C32 and C33 from 2005 (exemption due to unavailability of backcast)

- the NACE division B09 from 2009 (due to economic size of the activity inside the country)

- the NACE section L from 2009

- the NACE division N77 and NACE groups N811 and N813 are included in their aggregates as of 2009

The data content, data collection and estimation method of the Labour Force Survey were renewed at the beginning of 2021. Time series were corrected retrospectively in accordance with the new estimation method. The corrected data are available starting from 2009 and they are not comparable with data from earlier years.

3.9. Base period

 Starting from the data transmission of 2021Q1, the STS time series have been transmitted to Eurostat as indices.

The current base year is 2021.

The reference year for the indices is 2021=100.

Indices with the earlier reference year (2015=100) are available until the time period 2023Q4.

These indices are not published nationally.


4. Unit of measure Top

The data are provided as indices.


5. Reference Period Top

The reference period for the STS indicator is a quarter. In the data collection, the reference period is the survey week. Data are collected from all weeks of the year. The results are calculated for months, quarters and years.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

The Statistics Act (280/2004) is the general act for the National Statistical Service (NSS). It contains the principles for the data collection, processing, and dissemination of official statistics. The Statistics Finland Act (48/1992) states that Statistics Finland (SF) shall provide for the general development of official statistics in collaboration with other central government authorities. The aim of the NSS is to produce official statistics, Official Statistics of Finland (OSF). European law (especially the Regulation of the European Parliament and of the Council on European statistics (EC) No 223/2009) applies to a large portion of OSF. Further information: https://stat.fi/meta/lait/index_en.html

The compilation of the Finnish LFS is regulated by Regulation (EU) 2019/1700 of the European Parliament and of the Council. A list of the Regulations specifically concerning the European Union Labour Force Survey (LFS) is available on the Eurostat website https://ec.europa.eu/eurostat/web/lfs/legislation.

For the reporting unit, the participation in the Finnish LFS is voluntary.

The compilation of STS statistics on hours worked is regulated by Regulation (EU) 2019/2152 of the European Parliament and of the Council. A list of the Regulations specifically concerning the Short-term business statistics is available on the Eurostat website https://ec.europa.eu/eurostat/web/short-term-business-statistics/legislation.

6.2. Institutional Mandate - data sharing

According to the Statistics Act, data obtained by four statistical authorities may be released to other parties either if permitted by legal provisions explicitly concerning the NSS, or upon express consent of the subject of the data. 

The STS data obtained from the Finnish LFS are transmitted to Eurostat only.


7. Confidentiality Top
7.1. Confidentiality - policy

The Statistics Act obliges statistics-producing authorities to inform respondents about the intended use of the data, the procedures to be used in producing the statistics, the principles governing whether the provision of data is obligatory or voluntary, the rights of the respondents, the arrangements for protecting the data, and the duration the data will be stored.

The Statistics Act allows a statistical authority to grant access to confidential data for use in scientific research or statistical surveys if statistical units cannot be identified directly from them. The right to use data may be given in compliance with a well-defined process including a written application.

SF has implemented procedures to prevent disclosure of any individual data provider. It has published guidelines on how to apply the Statistics Act and the Data Protection Act, as well as guidelines on the protection of tabulated data on enterprises and individual persons. A section on data protection is included in the SF publication Quality Guidelines for Official Statistics.

When needed, aggregation of classes is used in the Finnish LFS.

The principles of data protection and the description on the legislation related to confidentiality are available on the website of Statistics Finland at: https://stat.fi/meta/tietosuoja/index_en.html.

7.2. Confidentiality - data treatment

SF has implemented procedures to prevent disclosure of any individual data provider. It has published guidelines on how to apply the Statistics Act and the Data Protection Act, as well as guidelines on the protection of tabulated data on enterprises and individual persons. A section on data protection is included in the SF publication Quality Guidelines for Official Statistics.

When needed, aggregation of classes is used in the Finnish LFS.


8. Release policy Top
8.1. Release calendar

A release schedule for the coming year, specifying precise dates of release, is published in the Release Calendar in December by Statistics Finland. The calendar is available on the website of Statistics Finland.

The STS indicators obtained from the Finnish LFS are not published nationally.

8.2. Release calendar access

https://stat.fi/en/statistics/tyti#calendar

8.3. Release policy - user access

The results are published simultaneously to all interest parties on the Internet https://stat.fi/en/statistics/tyti.

Key results of the Labour Force Survey are published simultaneously with the results of the Employment Service Statistics. Therefore the persons responsible for production of the Employment Service Statistics in the Ministry of Economic Affairs and Employment are provided with an embargoed copy of the LFS key results few days in advance for information. Otherwise there is no internal governmental access to data before their release. No ministerial commentary is attached to released data.

Information on and links to the legislation governing SF are available on its website. There is a special service on the Internet for those obliged to give information to SF, The data collections section. All statistics compiled by SF have a homepage of their own, with a permanent Internet address (stat.fi/en/statistics/name of statistics). In addition to statistical data, these homepages contain a large set of metadata concerning the statistics in question.


9. Frequency of dissemination Top

The main results from the Finnish LFS are published monthly and quarterly. The annual results are published in two to three publications.

The STS time series data obtained from the Finnish LFS are not published nationally. They are transmitted quarterly to Eurostat.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

There is a “news release” section in the beginning of monthly, quarterly and annual publications on the Internet https://stat.fi/en/statistics/tyti.

10.2. Dissemination format - Publications

As of the year 2010, the monthly and quarterly publications Labour Force Survey, Official Statistics of Finland, series Labour Market are published only in electronic format on the Internet https://stat.fi/en/statistics/tyti. The quarterly results are published simultaneously with the appropriate monthly releases.

The STS time series data delivered to Eurostat are not published nationally. In the national releases, the quarterly and annual data on the number of persons employed and the number of hours worked are published in wider than two-digit categories of  NACE rev. 2: https://pxweb2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__tyti/statfin_tyti_pxt_137l.px. (See Accuracy 13.2.)

10.3. Dissemination format - online database

There are time series data on hours worked in Statistics Finland’s PX-Web database on the Internet https://pxweb2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__tyti/?tablelist=true.

10.4. Dissemination format - microdata access

Statistics Finland's researcher services offer unit-level data, i.e. micro data, for scientific studies and statistical surveys. The conditions and rules with respect to data access can be found on the home page https://stat.fi/tup/mikroaineistot/index_en.html.

10.5. Dissemination format - other

On request, tailored tables and data files are provided for a fee.

Monthly the main Finnish LFS results and quarterly the micro data as well the STS employment and hours worked data are transmitted to Eurostat to be used in European aggregates and to be released as national data. 

10.6. Documentation on methodology

Documentation on the methodology and sources used in preparing the Finnish LFS is available in the Documentation section of the LFS on the Internet https://www.stat.fi/en/statistics/documentation/tyti.

Documentation of the LFS methodology is also available on the Eurostat website https://ec.europa.eu/eurostat/statistics-explained/index.php?title=EU_labour_force_survey.

10.7. Quality management - documentation

The Finnish LFS quality documentation is available on the Internet (https://www.stat.fi/en/statistics/documentation/tyti) and it is attached to all publications. Examples of the accuracy of key estimates of the Finnish LFS are available in chapter Accuracy, reliability and timeliness of the documentation.

Quarterly and yearly, the quality reports for the Finnish LFS are prepared and transmitted to Eurostat.

A thorough national statistical auditing and peer review on the Finnish LFS was made in 2011.


11. Quality management Top
11.1. Quality assurance

All statistical authorities of Finland have signed a quality assurance in which they commit to the principles that steer statistics production. The quality assurance concerns such as the contents of statistical data, production processes and service to data users: https://www.stat.fi/ajk/tiedotteet/2013/uutinen_002_2013-01-31_en.html.

The principles of the European Foundation for Quality Management (EFQM principles) are employed by Statistics Finland as its overall framework for quality management. The quality management framework of the field of statistics is the European Statistics Code of Practice (CoP). The frameworks complement each other. The quality criteria of Official Statistics of Finland are also compatible with the European Statistics Code of Practice. Further information on quality management at Statistics Finland

The main lines of quality management at Statistics Finland are defined in the handbook Quality Guidelines for Official Statistics.

11.2. Quality management - assessment

The top management of SF has made several self-assessments in line with the EFQM model. There have also been external audits by e.g. the EU and IMF experts. Processes are in place to monitor the quality of the statistical process and the processes of individual statistics. Quality considerations are an integral part of the planning and evaluation of the statistical programme. The process owner of statistical production and it’s supporting group monitor the quality and steer the standardisation of work processes.

Statistics Finland has an internal quality audit system. The main objectives are to evaluate the ways of working, methods and techniques. An audit is carried out by an audit team of experts who are external in the sense that they do not have any direct connection with the production process in question. Usually about 8 audits have been carried out yearly.

The Finnish LFS measures up to all LFS quality standards set by Eurostat.

The quality strengths concerning STS indicator in question are: The Finnish LFS definition of hours actually worked comply with the STS definition. The population sample’s coverage is good (age, sex, geographical area). The results cover all industrial activities and all weeks of the year. The only noteworthy quality deficiency for the STS indicator concerns the accuracy of the estimates for the very smallest 2-digit NACE groups (see 13.2 Sampling error).


12. Relevance Top
12.1. Relevance - User Needs

Key users of the LFS results are ministries, authorities responsible for regional planning, employers’ and employees’ organisations, universities and research institutes, international organisations and the European Union.

The Finnish LFS comply with the EU LFS regulations.

Co-operation between SF and important users with regard to the relevance of statistics and the users’ needs consists of an extensive feedback system and co-operative working groups with the main users. There are regular meetings of SF directors and experts with the users, even at the senior management level. Users are usually also invited to participate in discussions concerning the establishment of new statistics or revisions of existing ones.

The national users of the Finnish LFS are contacted, for example, via the Finnish labour market statistics expert group.

12.2. Relevance - User Satisfaction

There are specific feedback systems for receiving the users’ opinions at SF. These systems consist of an anonymous feedback channel on the web, media monitoring, surveys among different user groups for the evaluation of SF’s performance, user surveys (every other year or every third year, results of the latest user survey published in 2019), and a system for collecting and disseminating information that is strategically important for SF.

12.3. Completeness

The STS indicator Hours worked by employees obtained from the Finnish LFS comply with the EU regulation, with the exception of self-employed having been included until June 2022 (see 3.4).

The STS indicator time series are available for all activities (NACE 2-digit groups) that exist in Finland. The quarterly estimates for the very smallest 2-digit groups are available for the EU aggregates (see 13.2).

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13. Accuracy Top
13.1. Accuracy - overall

Accuracy and reliability of the figures of the Labour Force Survey, as figures of all sample surveys, are affected by random variation due to sampling, non-response and measurement errors. Low accuracy due to sampling error is a problem for the very smallest 2-digit NACE groups (see 13.2).

13.2. Sampling error

For the STS indicators, a low accuracy of the estimates concerns the very smallest NACE 2-digit groups. Their coefficients of variation are high because of the random variation due to sampling. Therefore, the estimates of hours actually worked concerning fewer than 4,000 employed persons (estimate) are flagged confidential for publication in the STS data (they are based on a low number of individual respondents).  

Examples of the accuracy of the key estimates are available on the Labour Force Survey’s home page on the Internet (https://stat.fi/en/statistics/documentation/tyti#Accuracy,%20reliability%20and%20timeliness).

13.3. Non-sampling error

In 2023, the non-response rate was 48 per cent (Q1 51%, Q2 51%, Q3 48% and Q4 43%) for persons aged 15 to 74. The data are collected mainly by telephone interviews and from 2021 onwards also with a web questionnaire. There is also a possibility of face-to-face interview when necessary. Persons who have been selected as respondents are always informed in advance by post.

The unknown hours actually worked are imputed with comparable average data. In 2023 imputation was needed for some items of hours worked for around 3 per cent of all persons employed.

Measurement errors arise from, among other things, differences in interpreting or understanding of the questions, respondents’ inability to recall or unwillingness to give certain information, or erroneous recording of answers. Development and testing of the questions in advance, training and supporting the interviewers and careful planning, codification and testing of questionnaires are the measures used to contain measurement errors.


14. Timeliness and punctuality Top
14.1. Timeliness

The main monthly, quarterly and annual results are published about three weeks after the end of the reference month, quarter or year. The data are final when first released.

Interviewers' fieldwork takes place within approximately two weeks after the reference week. Responding with web questionnaire is possible until the end of fieldwork for the reference month.

14.2. Punctuality

All quarterly STS data were delivered on time.


15. Coherence and comparability Top
15.1. Comparability - geographical

The results of the Finnish LFS are geographically comparable between regions.

15.2. Comparability - over time

The STS data for the hours actually worked are available as of the year 2000. As of the year 2008, the industrial classification of NACE Rev. 2 is used in the Finnish LFS. The STS data according to the industrial classification NACE Rev. 2 are also available as backcast as of the year 2000 (for exceptions, see 3.8). However, the accuracy of the classification for the period 2000-2004 is not of as good quality as for the period 2005­­­-2007 because of different methods used in backcasting.

The data content, data collection and estimation method of the Labour Force Survey were renewed at the beginning of 2021. Time series were corrected retrospectively in accordance with the new estimation method. The corrected data are available starting from 2009 and they are not comparable with data from earlier years.

15.3. Coherence - cross domain

Comparisons are made regularly to the National Account figures and the registered unemployment figures of the Ministry of Economic Affairs and Employment, and occasionally to the annual register data on employment and the labour cost statistics (see chapter Coherence - cross domain in documentation https://stat.fi/en/statistics/documentation/tyti).

15.4. Coherence - internal

The unadjusted aggregates are consistent with their main sub-aggregates.

As regards calendar adjusted data, direct adjustment is applied for each series, for which reason the sums in absolute figures may not always amount to the totals.


16. Cost and Burden Top

For the Finnish LFS respondents, there is no additional burden caused by the STS indicators.

The additional burden and costs for SF arise from 1) processing of the STS indicators from the Finnish LFS data and from the time to time required development work of the processes, as well as from 2) the participation in Eurostat’s STS work, such as answering several kinds of inquiries.

A rough estimate for the additional burden caused by the STS indicators is about 10 to 20 staff-days per year, depending on the amount of work aside from the most ordinary tasks.


17. Data revision Top
17.1. Data revision - policy

Statistics Finland has prepared detailed guidelines for practices when changes are made to published statistical data (https://www.stat.fi/org/principles/publication-principles-for-statistics/practices-when-changes-are-made-to-statistical-data).

There is no revision calendar for the LFS. There are no routine revisions of LFS data, except for the seasonally adjusted or calendar adjusted data (see 17.2). Revisions to calendar adjusted data are examined occasionally, e.g. when high revisions occur and in connection with the update of seasonal adjustment models. No data conciliation with other statistics is carried out.

In principle, same policies are applied to nationally released data and to the data transmitted to Eurostat. However, the STS indicators obtained from the Finnish LFS are not released nationally.

17.2. Data revision - practice

The Finnish LFS data are final when first released. Only seasonal adjustment and calendar adjustment procedures slightly alter the previously published seasonally adjusted and calendar adjusted results. If errors occur, they are corrected and the users are informed about them as quickly as possible.

Advance notice is given to the public on the Internet when major changes are introduced in methodology and statistical techniques.


18. Statistical processing Top
18.1. Source data

The Finnish monthly Labour Force Survey (LFS) is a sample survey based on population sample. So the statistical unit and the target of the survey is an individual person, not an enterprise.

The scope of the Finnish LFS consists of the resident population aged between 15 and 89. The population also comprises persons residing temporarily (for under one year) abroad as well as foreign nationals registered in the Finnish Population Information System whose stay in Finland will last for at least one year. Quarterly data concern the 15 to 74 age group.

The sample is drawn twice a year as a stratified random sample from Statistics Finland’s population database, which is based on the Central Population Register. The sample of each quarter consists of approximately 37,500 persons. As for each month, the sample consists of approximately 12,500 persons, which is, on average, every 370th person in the population. The register data in the sample are updated every month.

The survey is a panel survey in which one person is interviewed five times. The sample changes gradually so that different persons answer the questions during three consecutive months. In consecutive quarters three-fifths of the respondents are the same. In consecutive years the overlap is two-fifths.

18.2. Frequency of data collection

The data collection is continuous. The sample is distributed evenly over all weeks of the year, so the data are collected from all weeks of the year.

18.3. Data collection

Statistics Finland’s interviewers collect the data with computer-assisted telephone interviews (CATI). Since 2021 the respondents have had the possibility to respond also with a web questionnaire. Interviews are carried out in Finnish, Swedish and English, and the web questionnaire is also available in the same languages. The industrial activity of the LKAU is obtained mainly from the Business Register at Statistics Finland.

18.4. Data validation

Format and file structure checks: In the Finnish LFS, the computer-assisted interview software Blaise includes checks for the valid value range of the response data. In the production system of the monthly LFS data, the checks and corrections are managed by the LFS expert using an easy to handle .NET-application. In the transmission of the response data from the interviewers’ database to the LFS SQL-database, the controls concern the value ranges, the number of records per week, and the preliminary distributions of certain control variables compared to the month before. Data on the reasons for non-response in the monthly data are also monitored.  

Intra-data checks: The application includes consistency checks between variables in the response data and in the created output data, such as dates, sum of workdays and sick days per week, and status in employment versus employer sector.   

Inter-data checks: The last validation test for the monthly data comprises comparison of the estimates in the publication tables, based on several background variables, with the estimates from one year ago.

The revision checks are not applicable in the Labour Force Survey.

Consistency checks between two domains available in the same institution: The results of the Labour Force Survey versus those of the register-based Employment Statistics, the National Accounts and the Business Register of Statistics Finland are studied periodically.  

Checks on STS data sent to Eurostat: The structure and the content of the STS data package are controlled manually by making comparisons to the source data before and after the data are converted into the SDMX file.

18.5. Data compilation

The unknown hours actually worked by an employed person are imputed with comparable average data. The imputation was needed for around 3 per cent of all persons employed.

The results from the sample are weighted to correspond to the entire population aged between 15 and 89. The weighting progresses through basic weighting to reweighting. The basic weighting is the starting point for reweighting and it takes into account the sampling design of the survey and the stratification used in it, as well as the number of respondents by stratum. The reweighting method uses calibration of weights, where the basic weights are improved by utilising the latest available population data and additional information available from other register sources. Population data are gender, age, region and language. Other additional information is obtained from the Employment Service Statistics of the Ministry of Economic Affairs and Employment, Statistics Finland's Register of Completed Education and Degrees, and the Tax Administration's Incomes Register. Calibration weights are formed with CALMAR2 software operating in SAS environment developed in France.

Starting from 2021, a quarterly weight is used in the calculation of quarterly estimates, which is calculated by scaling the monthly weight of each month of the quarter in question to the average population of the quarter and by proportioning it to the number of survey weeks in the month. Annual estimates are averages of quarterly estimates.

The quarterly and annual hours actually worked are sums of monthly estimates. The estimation of monthly hours actually worked takes account of the number of calendar days, weekdays and public holidays included in the reference months.

From estimated quarterly hours worked, quarterly STS indices are calculated as percentages of average hours worked in the base year (2021=100) for each time series. STS data are then converted into the SDMX file.

18.6. Adjustment

This description applies to STS series on Hours worked.

Calendar adjustment:

- Data are in absolute values.
- For data at aggregate levels, aggregation is done before the calendar adjustment.
- Country-specific (Finnish) calendar is used. Easter and leap year effects are also adjusted if relevant. If significant calendar effects are not found, the calendar adjusted series is identical to the unadjusted series.
- The JDemetra+ 2.2 software and Tramo/Seats method is used.
- Automatic detection is used to detect outliers.
- The series have been modelled in June 2021. In calendar adjustment, the previous model settings are used but with re-estimation of the ARIMA and regression coefficients. Thus the figures in a calendar adjusted series are subject to backwards revisions each time when a new observation is added to the series.
- The adjusted series are transformed into indices based on values in 2021.


19. Comment Top

The Finnish Labour Force Survey was renewed from the beginning of 2021. Changes include the implementation of Regulation (EU) 2019/1700 of the European Parliament and of the Council, as well as changes in the data collection mode and estimation methods. For more detailed information, see https://stat.fi/en/statistics/documentation/tyti.


Related metadata Top


Annexes Top