1.1. Contact organisation
Turkish Statistical Institute (TURKSTAT)
1.2. Contact organisation unit
Labour Force Statistics Unit
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Devlet Neighborhood Necatibey Street No:114 06420 Çankaya/Ankara Türkiye
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
1 August 2026
2.1. Metadata last certified
1 August 2026
2.2. Metadata last posted
1 August 2026
2.3. Metadata last update
1 August 2026
3.1. Data description
| The EU Labour Force Survey (EU-LFS) is the largest European household sample survey. Its main statistical objective is to classify the population of working age (15 years and over) into three mutually exclusive and exhaustive groups: employed persons, unemployed persons, which together represent the ‘labour force’, and the people outside the labour force.
|
3.2. Classification system
Education: ISCED 2011, ISCED-F 2013
Occupation: ISCO-08
Economic activity: NACE Rev. 2
Professional status: ICSE-93
3.3. Coverage - sector
The Household Labour Force Survey covers all sectors of economic activity and both the public and private sectors. Employed persons are classified by economic activity according to NACE Rev. 2, irrespective of the sector in which they work. As the survey is household-based, its coverage is determined by the population living in private households rather than by a register of establishments.
3.3.1. Coverage
Individuals living in private households in the Country. Institutional population; including the residents of schools (university students living in dormitories), people living in rest homes, orphans' homes, special hospitals (for people staying more than twelve months) and military barracks (conscripts are excluded from the sample while army forces are included) are not covered in the survey.
3.3.2. Inclusion/exclusion criteria for members of the household
Usual residence (12 months).
3.3.3. Questions relating to labour status are put to all persons aged
15 years old and over.
3.4. Statistical concepts and definitions
The statistical concepts and definitions used in the Household Labour Force Survey are aligned with EU-LFS requirements and relevant ILO standards. The population aged 15 years and over is classified into three mutually exclusive and exhaustive groups: employed persons, unemployed persons and persons outside the labour force. Employment, unemployment, labour underutilisation, NEET and other supplementary labour-market indicators are produced in accordance with Regulation (EU) 2019/1700 and Commission Implementing Regulation (EU) 2019/2240.
3.4.1. Household concept
A household consists of persons living together in the same dwelling and sharing income and household expenses. Institutional households are excluded.
3.4.2. Definition of household for the EU-LFS
Members regularly living together in the same dwelling sharing income, household expenditures, food and other essentials for living.
3.4.3. Population concept
Usual residence (12 months).
3.4.4. Specific population subgroups
| Population concept |
Specific population subgroups |
||||
| Primary/secondary students |
Tertiary students |
People working out of family home for an extended period for the purpose of work |
People working away from family home but returning for weekends |
Children alternating two places of residence |
|
| Usual residence (12 months) |
Family home |
Term address |
Family home |
Family home |
Family home |
3.5. Statistical unit
The data collection shall be carried out in each Member State for a sample of observation units constituted by private households or by persons belonging to private households who have their usual residence in that Member State.
3.6. Statistical population
The statistical population shall consist of all persons having their usual residence in private households in each Member State.
3.7. Reference area
Not requested for the LFS quality report.
3.8. Coverage - Time
Data is available from 1988.
3.9. Base period
Not requested for the LFS quality report.
The LFS produces different indicators with different measures:
• Numbers;
• Percentages;
• Averages (e.g, hours).
• Month
• Quarter
• Year
6.1. Institutional Mandate - legal acts and other agreements
EU level:
The EU-LFS is based on European legislation since 1973. The principal legal acts, currently in force, are the Regulation (EU) 2019/1700 establishing a common framework for European social statistics, the Commission Delegated Regulation (EU) 2020/256 establishing a multiannual rolling planning, the Commission Implementing Regulation (EU) 2019/2181 regarding items common to several datasets, and the Commission Implementing Regulation (EU) 2019/2240 which specifies the implementation rules, technical items and contents of the EU-LFS.
National level:
Pursuant to Law No. 5429 on Turkish Statistics, the Turkish Statistical Institute (TurkStat) is responsible for determining the fundamental principles and standards governing the production and organization of official statistics; compiling and evaluating data and information in areas required by the country; producing, publishing, and disseminating the necessary statistics; and ensuring coordination among institutions and organizations involved in the statistical process within the scope of the Official Statistical Programme.
6.2. Institutional Mandate - data sharing
Member States shall make available to the Commission (Eurostat) the data and metadata required under the Regulation 2019/2240 using the statistical data and metadata exchange standards specified by the Commission (Eurostat) and the Single Entry Point.
The Commission (Eurostat) shall, in cooperation with Member States, publish the aggregated data on the Commission (Eurostat) website, in a user‐friendly way, as soon as possible and within six months of the transmission deadline for annual and infra‐annual data collection.
Data sharing and exchange between international data producing agencies, for example, a Eurostat data collection or production that is in common with the OECD or the UN.
7.1. Confidentiality - policy
EU level:
Regulation (EU) No 557/2013 17 June 2013 as regards access to confidential data for scientific purposes and repealing Commission Regulation (EC) No 831/2002. It implements the Regulation (EC) No 223/2009 of the European Parliament and of the Council on European Statistics, which sets criteria for confidentiality of data.
National level:
Turkish Statistical Institute (TurkStat) Instruction for the Access and Use of Micro Data
7.2. Confidentiality - data treatment
Data is released after checking it does not reveal confidential data. Administrative identifiers, interconnecting statistical identifiers and any other identification data shall be removed (or they shall be modified to an extent where they cannot directly identify the unit to which they relate).
8.1. Release calendar
(1) the Member States shall transmit pre‐checked microdata without direct identifiers, according to the following two‐
step procedure:
(a) during the first three years of implementation of this Regulation, as provided for in Article 11(4):
— for quarterly data: within ten weeks of the end of the reference period,
— for other data: by 31 March of the following year;
(b) from the fourth year of implementation as follows:
— for quarterly data: within eight weeks of the end of the reference period,
— for other data regularly transmitted: by 15 March of the following year,
— for other data concerning ad‐hoc subjects: by 31 March of the following year.
Where those deadlines fall on a Saturday or Sunday, the effective deadline shall be the following Monday. The detailed topic income from work may be transmitted to the Commission (Eurostat) within fifteen months of the end of the reference period.
(2) The Member States shall transmit aggregated results for the compilation of monthly unemployment statistics within 25 days of the reference or calendar month, as appropriate. If the data are transmitted in accordance with the ILO definition, that deadline may be extended to 27 days.
8.2. Release calendar access
National Data Release Calendar
8.3. Release policy - user access
European social statistics are provided on the basis of equal treatment of all types of users, such as policy‐ makers, public administrations, researchers, trade unions, students, civil society representatives including non‐ governmental organisations, and citizens, which can access statistics freely and easily through Commission (Eurostat) databases on its website and in its publications.
National release policy, for example:
Standard tables for free access are published on the NSI's website.
Results are disseminated to all users at the same time.
The Official Statistics Programme (OSP), based on the Statistics Law of Türkiye No. 5429, is prepared for a 5-year period in order to determine the basic principles and standards dealing with the production and dissemination of
official statistics and to produce reliable, timely, transparent and impartial data required at national and international
level.
First release (monthly 12x), quarterly (4x), yearly (1x), ad hoc module results (1x)
10.1. Dissemination format - News release
Press Releases are published monthly, quarterly and annually on the web site both in Turkish and English versions at the same time (at 10.00 o'clock).
10.2. Dissemination format - Publications
There is no other online publication other than press releases.
10.3. Dissemination format - online database
Detailed quarterly and annual labour force statistics published of Central Dissemination System.
(MEDAS) - Labour Force Statistics
10.3.1. Data tables - consultations
Not requested for the LFS quality report.
10.3.2. Web link to national methodological publication
Methodological explanation document
10.3.3. Conditions of access to data
Aggregated data available to public, microdata available to researchers. Anonymised microdata are also available beginning from 2004. Other microdata sets of labour force survey (for the period 2000-2003) shall be provided upon request by the bilateral protocols.
10.3.4. Accompanying information to data
Questionnaire, methodological explanations.
10.3.5. Further assistance available to users
Further assistance available via phone or email.
10.4. Dissemination format - microdata access
Micro data sets are established from the records in order to reinforce the scientific researches by the Institute. These data sets brought into use upon approval of the Presidency are classified into Group A and B depending on access procedures. Group A and B data sets which can be used by researchers are announced to the public through the website of the Institute (Group A Micro Data Set: Only the micro data accessible in Data Research Center, Group B Micro Data Set: Micro data with no restriction for dissemination). Whenever necessary, modifications may be done by the Presidency in the micro data list. The Presidency publishes the metadata regarding the micro data in the website of the Institute. In case that a researcher request an inclusion of new variables in the micro data set that is wanted to be used, this issue is reviewed by the related Department and if it is found appropriate, necessary arrangements are made.
10.4.1. Accessibility to EU-LFS national microdata (Y/N)
Y
10.4.2. Who is entitled to the access (researchers, firms, institutions)?
- Institutions and organizations covered under the Programme,
- Other official institutions and organizations in Turkey,
- Universities and other higher educational institutions,
- Research based establishments and institutions,
- International organizations at which Türkiye is a member.
10.4.3. Conditions of access to data
Users should sign and complete Micro Data Request Form, Protocol and Letter of Undertaking for the Use of Micro Data.
10.4.4. Accompanying information to data
Metadata and classifications.
10.4.5. Further assistance available to users
Further assistance available via phone or email.
10.5. Dissemination format - other
Not requested for the LFS quality report.
10.5.1. Metadata - consultations
Not requested for the LFS quality report.
10.6. Documentation on methodology
See below.
10.6.1. Metadata completeness - rate
Not requested for the LFS quality report.
10.6.2. References to methodological notes about the survey and its characteristics
Labour Force Statistics - Metadata
10.7. Quality management - documentation
Household Labour Force Statistics Instutional Quality Report, 2024
11.1. Quality assurance
Not requested for the LFS quality report.
11.2. Quality management - assessment
Not requested for the LFS quality report.
12.1. Relevance - User Needs
The Household Labour Force Survey provides detailed and timely information on the labour-market status of the population, particularly employment, unemployment and persons outside the labour force. The results meet the needs of policymakers, public institutions, international organisations, researchers, social partners, the media and the general public for economic and social analysis, policy formulation, monitoring and international comparisons.
12.2. Relevance - User Satisfaction
Not requested for the LFS quality report.
12.3. Completeness
All mandatory data items required under the EU-LFS legal framework are collected and transmitted. Therefore, the ESS requirements concerning data completeness are fully met.
12.3.1. Data completeness - rate
Not requested for the LFS quality report.
12.3.2. NUTS level of detail
Annual LFS results are available at NUTS 2 and NUTS 3 levels. At NUTS 3 level, only the labour force participation rate, employment rate and unemployment rate are published, together with their confidence intervals. Anonymised microdata made available to researchers include regional information at NUTS 2 level.
12.3.2.1. Regional level of an individual record (person) in the national data set
NUTS 3 and further details (province, district etc.) are kept in the original national data sets.
12.3.2.2. Lowest regional level of the results published by NSI
At NUTS 3 level; only labour force participation rate, employment rate and unemployment rate was published with their confidence intervals.
12.3.2.3. Lowest regional level of the results delivered to researchers by NSI
Anonymised microdata are available for NUTS 2 level.
13.1. Accuracy - overall
Not requested for the LFS quality report.
13.2. Sampling error
As the Household Labour Force Survey is based on probability sampling, its estimates are subject to sampling error. Sampling errors are measured by coefficients of variation using the Taylor linearisation method in the R–ReGenesees software. Coefficients of variation are calculated for the main annual estimates at national and NUTS 2 levels and are provided in the Annex.
13.2.1. Sampling error - indicators
As the Household Labour Force Survey is based on probability sampling, its estimates are subject to sampling error. Sampling errors are measured by coefficients of variation using the Taylor linearisation method in the R–ReGenesees software. Coefficients of variation are calculated for the main annual estimates at national and NUTS 2 levels and are provided in the Annex.
13.2.1.1. Coefficient of variation (CV) Annual estimates %
References to Annex File.
13.2.1.2. Coefficient of variation (CV) Annual estimates at NUTS-2 Level %
References to Annex File.
13.2.1.3. Description of the assumption underlying the denominator for the calculation of the CV for the employment rate
In the context of employment totals and rates reported by TurkStat, distinct coefficient of variation (CV) values are observed. For the estimation process, the 'PROC SURVEYMEANS' module of SAS based on the Taylor linearization method is utilized. The calculation procedures incorporate the standard deviation formula for total estimates and the standard error formula for mean estimates, as required for the indicators presented in the table.
13.2.1.4. Reference on software used
R - ReGenesees
13.2.1.5. Reference on method of estimation
Taylor Linearization Technique
13.3. Non-sampling error
Not requested for the LFS quality report.
13.3.1. Coverage error
References to Annex File.
13.3.1.1. Over-coverage - rate
See in the 13.3.1. Coverage error section in Annex.
13.3.1.2. Common units - proportion
Not requested for the LFS quality report.
13.3.1.3. Misclassification errors – detection of mismatches of identifiers
See in the 13.3.1. Coverage error section in Annex.
13.3.1.4. Misclassification errors –description of the main misclassification problems encountered in collecting the data and the methods used to process misclassifications
References to Annex File.
13.3.2. Measurement error
See below.
13.3.2.1. Errors due to the media (questionnaire)
References to Annex File.
13.3.2.2. Main methods of reducing measurement errors
References to Annex File.
13.3.3. Non response error
Not requested for the LFS quality report.
13.3.3.1. Unit non-response - rate
See below.
13.3.3.1.1. Methods used for adjustments for statistical unit non-response
References to Annex File.
13.3.3.1.2. Non-response rates. Annual averages (% of the theoretical yearly sample)
References to Annex File.
13.3.3.1.2.1. Non-response rates. Annual averages (% of the theoretical yearly sample) – NUTS-2 level
References to Annex File.
13.3.3.1.3. Units who did not participate in the survey
References to Annex File.
13.3.3.2. Item non-response - rate
The item non-response rate is calculated as the weighted proportion of in-scope units that did not provide a valid response to a particular variable among all in-scope units required to respond to that variable. The item non-response rates for annual EU-LFS variables, including INCGROSS, are provided in the Annex.
13.3.3.2.1. Item non-response (INR) in % * - Quarterly data (Compared to the variables defined by the Commission Regulation (EC) No 2019/2240)
References to Annex File.
13.3.3.2.2. Item non-response (INR) in % * - Annual data (Compared to the variables defined by the Commission Regulation (EC) No 2019/2240)
References to Annex File.
13.3.3.2.3. Item non-response for INCGROSS variable
References to Annex File.
13.3.4. Processing error
No significant processing errors were identified during the reference year. Automated consistency checks, validation rules, editing and imputation procedures are applied throughout data processing to detect and correct potential errors.
13.3.4.1. Editing and imputation process
References to Annex File.
13.3.5. Model assumption error
Not requested for the LFS quality report.
14.1. Timeliness
References to Annex File.
14.1.1. Time lag - first result
Not requested for the LFS quality report.
14.1.2. Time lag - final result
Not requested for the LFS quality report.
14.2. Punctuality
There was no delay in the release of country-level results. All national LFS outputs were published in accordance with the pre-announced release calendar.
14.2.1. Punctuality - delivery and publication
Not requested for the LFS quality report.
15.1. Comparability - geographical
All statistics are comparable between geographical areas, as the same concepts, definitions, classifications and methodological procedures are applied throughout Türkiye.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not requested for the LFS quality report.
15.1.2. Divergence of national concepts from European concepts
|
|
15.2. Comparability - over time
11 years
15.2.1. Length of comparable time series
For basic labour force indicators (employment, unemployment, etc.); starting with 2005
For detailed labour force indicators (status in employment, reasons of not being in labour force, etc.) starting with 2020
15.2.1.1. Length of time series
Not requested for the LFS quality report.
15.2.1.2. Length of comparable time series
Not requested for the LFS quality report.
15.2.2. Changes at CONCEPT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)
References to Annex File.
15.2.3. Changes at MEASUREMENT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)
References to Annex File.
15.3. Coherence - cross domain
Not requested for the LFS quality report.
15.3.1. Coherence - sub annual and annual statistics
Not requested for the LFS quality report.
15.3.2. Coherence - National Accounts
|
|
Description of difference in concept |
Description of difference in measurement |
Give an assessment of the effects of the differences |
Give references to description of differences |
| Total employment |
The concepts used in the Labour Force Survey (LFS) are broadly consistent with those in the national accounts framework. However, minor discrepancies may arise in the definition of employment, particularly with respect to the treatment of informal work, unpaid family workers, and persons temporarily absent from work. While the Labour Force Survey (LFS) primarily focuses on the social and demographic dimensions of employment, the National Accounts conceptualize employment as an input into the processes of production, income generation, and income distribution. Whereas the Labour Force Survey (LFS) does not cover the institutional population, the National Accounts include the institutional population in employment estimates. |
Measurement differences are primarily linked to the underlying data sources and collection methods. While the LFS is based on household surveys and self-reported information, national accounts often rely on administrative registers and business statistics, which may lead to divergent estimates. |
These conceptual and measurement discrepancies may result in slight divergences in employment levels between the two systems. Nevertheless, the overall trends and structural patterns remain broadly comparable, ensuring that the LFS continues to serve as a reliable source for labour market analysis. |
Eurostat methodological guidelines, publications of the national statistical institute. |
| Total employment by NACE |
The classification of employment by economic activity (NACE) in the LFS is aligned with the international standards used in the national accounts. However, differences may occur due to the self-reporting of industry by respondents in surveys compared to enterprise-based classifications in business registers. |
Discrepancies may arise from sample sizes and the level of detail available in the LFS, particularly in small or emerging industries, whereas national accounts benefit from exhaustive administrative data. |
Such differences can affect the comparability of sectoral employment figures, especially for disaggregated industries. However, at the aggregate level, the results remain sufficiently consistent for policy and analytical purposes. |
Eurostat (2022). NACE Rev.2 – Statistical classification of economic activities in the European Community.National Statistical Institute – Sectoral Employment Publications. |
| Number of hours worked |
The concept of hours actually worked in the Labour Force Survey (LFS) is generally consistent with that applied in the national accounts. However, divergences may occur in the treatment of overtime, absences, part-time arrangements, and hours not effectively worked (e.g. strikes, training, or leave). |
LFS data rely on self-reported hours provided by respondents, which may be subject to recall bias or misreporting. In contrast, national accounts often use enterprise surveys or administrative data, where hours are estimated indirectly from labour input and compensation statistics. |
These differences may result in underestimation or overestimation of average hours worked in the LFS compared with national accounts. The effect is generally modest at the aggregate level but can be more pronounced for specific groups such as part-time workers, seasonal workers, or industries with irregular working patterns. |
Eurostat (2022). European System of Accounts (ESA 2010) – Labour Input Measures. National Statistical Institute – Methodological Notes on Labour Force Survey. |
15.3.3. Which is the use of EU-LFS data for National Account Data?
| Which is the use of LFS data for National Account Data? |
|||||
| Country uses LFS as the only source for employment in national accounts. |
Country uses mainly LFS, but replacing it in a few industries (or labour status), on a case-by-case basis |
Country doesn’t make use of LFS, or makes minimal use of it |
Country combines sources for labour supply and demand giving precedence to labour supply sources (i.e. LFS) |
Country combines sources for labour supply and demand not giving precedence to any labour side |
Country combines sources for labour supply and demand giving precedence to labour demand sources (i.e. employ- ment registers and/or enterprise surveys) |
| N |
N |
N |
N |
Y |
N |
15.3.4. Coherence of EU-LFS data with Business statistics data
|
|
Description of difference in concept |
Description of difference in measurement |
Give an assessment of the effects of the differences |
Give references to description of differences |
| Total employment |
LFS measures employment based on household labour force survey, capturing individuals who report being employed, including the self-employed and informal workers. Business Statistics (e.g., enterprise surveys) rely on administrative records from employers, excluding informal work and self-employment. LFS often shows higher employment figures due to its broader scope. Business data undercount employment in sectors with high informality or gig work. |
NA | NA |
NA |
| Total employment by NACE |
In the Labour Force Survey, economic activities (classified by NACE) are based on the declarations of surveyed individuals, whereas in business statistics, they are derived from administrative records related to company information. The key distinction lies in the fact that, in the Labour Force Survey, activity-related data are obtained at the local unit level. |
Public (government) and agricultural sectors are excluded from the scope of business statistics. |
NA |
NA |
| Number of hours worked |
No significant difference in the calculation of number of hours worked. |
NA |
NA |
NA |
15.3.5. Coherence of EU-LFS data with registered unemployment
| Description of difference in concept |
Description of difference in measurement |
Give references to description of differences |
| "There are definitional, contextual, temporal, and procedural differences between the unemployment estimates derived from the Labour Force Survey (LFS) and the registered unemployment figures compiled from administrative records published by the public employment service. Registered unemployed persons are defined as individuals of working age who are willing to work, do not hold a job that generates at least the minimum wage at the time of registration, and maintain an active registration status. An active registration is considered valid for referral to employment opportunities for a period of 12 months following the date of the most recent transaction. |
"While registered unemployment statistics are limited to applications submitted to the public employment service, the Labour Force Survey (LFS) allows for the use of multiple job search channels beyond the public employment service. |
UNA |
15.3.6. Assessment of the effect of differences of EU-LFS unemployment and registered unemployment
| Give an assessment of the effects of the differences |
|||||
| Overall effect |
Men under 25 years |
Men 25 years and over |
Women under 25 years |
Women 25 years and over |
Regional distribution (NUTS-3) |
| Total number of registered unemployed is lower when compared with the LFS results altough it covers the one year. The main reason is the lack of legal requirement for unemployed people to register themselves to public employment service. Difference exists in all groups without any significant disparity. |
UNA |
UNA |
UNA |
UNA |
UNA |
15.3.7. Comparability and deviation for the INCGROSS variable
References to Annex File.
15.4. Coherence - internal
Not requested for the LFS quality report.
Survey costs and respondent burden are monitored through respondent-burden studies.
16.1. Number of staff involved in the EU-LFS in central and regional offices, excluding interviewers. Consider only staff directly employed by the NSI.
References to Annex File.
16.2. Duration of the interview by Final Sampling Unit
References to Annex File.
17.1. Data revision - policy
The standard revision policy document is published annually. The revision policy is fully compliant with the principles of the European Statistics Code of Practice and the ESS guidelines on revision policy for Principal European Economic Indicators (PEEIs).
17.1.1. Is the general data revision policy fully compliant with the ESS Code of Practice principles? (in particular see the 8th principle) (Y/N)
Y
17.1.2. Is the country revision policy compliant with the ESS guidelines on revision policy for PEEIs?
Y
17.2. Data revision - practice
Not requested for the LFS quality report.
17.2.1. Data revision - average size
Not requested for the LFS quality report.
18.1. Source data
The primary data source is the Household Labour Force Survey, a continuous household sample survey. The National Address Database, based on the Address Based Population Registration System, is used as the sampling frame. Administrative registers are also used to obtain basic demographic information—such as age, sex and nationality—and personal telephone numbers.
18.1.1. Source data - frame population
| Sampling design (scheme; simple random sample, two stage stratified sample, etc.) |
Base used for the sample (sampling frame) |
Last update of the sampling frame (continuously updated or date of the last update) |
Primary sampling unit (PSU) |
Final sampling unit (FSU) |
Date of sample selection |
| Two stage stratified cluster sampling. |
National Address Database which is based on Address Based Population Register System is used as the sampling frame. |
The sampling frame is updated twice a year in February and August. |
Cluster. Each cluster (block) consists of approximately 100 households. |
Household address |
15 days before the relevant quarterly reference period. |
18.1.2. Sampling design & Procedure method
|
18.1.3. Yearly sample size & Sampling rate
References to Annex File.
18.1.4. Quarterly sample size & Sampling rate
References to Annex File.
18.1.5. Use of subsamples to survey structural variables (wave approach)
| Only for countries using a subsample for yearly variables |
|||
| Wave(s) for the subsample |
Are the 30 totals for ILO labour status (employment, unemployment and inactivity) by sex (males and females) and age groups (15-24, 25-34, 35-44, 45-54, 55+) between the annual average of quarterly estimates and the yearly estimates from the subsample all consistent? (Ref.: Commission Reg. 2019/2240) (Y/N) |
If not please list deviations |
List of yearly variables for which the wave approach is used (Ref.: Commission Reg. 2019/2240, Annex I) |
| NA |
NA |
NA |
NA |
18.2. Frequency of data collection
Not requested for the LFS quality report.
18.3. Data collection
| Data collection methods: brief description |
Use of dependent interviewing (Y/N)? |
In case of Computer Assisted Methods adoption for data collection, could you please indicate which software is used? |
| The first interviews are performed by CAPI technique. Interviews in the second and subsequent waves are mainly carried out by CATI. |
Y |
Harzemli Data Entering Program and ALO124 Call Center Sytem (Developed by TURKSTAT). |
18.3.1. Final sampling unit collected by interviewing technique (%)
References to Annex File.
18.3.2. Info from registers
| Are any LFS data collected from registers (Y/N)? |
If Y, please indicate which variable(s) are partly collected from registers. |
If Y, please indicate which variable(s) are fully collected from registers. |
| Y |
NA |
Basic demographic information for individuals (e.g., age, sex, nationality) and personal phone numbers. |
|
|
|
|
|
|
|
|
*In case of non-core variables in the EU-LFS, different percentages of imputation may come from administrative data.
18.3.3. Description of data collection and reference period for INCGROSS variable
References to Annex File.
18.3.4. Description of percentiles and bands used for INCGROSS variable
References to Annex File.
18.4. Data validation
Member States shall transmit to the Commission (Eurostat) quarterly and annual datasets with pre-checked microdata that comply with validation rules according to the specification of variables for their coding and filter conditions set out in Annex I of the Regulation 2019/2240. Member States and the Commission shall agree on additional validation rules that shall be fulfilled as a condition for transmitted data to be accepted.
Arithmetic and qualitative controls are used in the validation process, including comparison with other data. Before data dissemination, the internal coherence of the data is checked.
18.5. Data compilation
Not requested for the LFS quality report.
18.5.1. Imputation - rate
References to Annex File. Please note that in the Annex file the sheet related to this concept has a slightly different title, ‘Imputation - rate (item non-response)'.
18.5.1.1. Editing and imputation process for INCGROSS variable
References to Annex File.
18.5.2. Brief description of the method of calculating the quarterly core weights
| Brief description of the method of calculating the quarterly core weights |
Is the sample population in private households expanded to the reference population in private households? (Y/N) |
If No, please explain which population is used as reference population |
Gender is used in weighting (Y/N) |
Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)? |
Which regional breakdown is used in the weighting (e.g. NUTS 3)? |
Other weighting dimensions |
| In the calculation of quarterly weights, the initial weights adjusted by the nonresponse of each month which were already calculated during the month are defined as the input weights in the calibration procedure. In the procedure, integrative calibration method and trimming is applied. That is why weights used in the production of quarterly estimates are ensured consistency with monthly independent estimates. Weights are calibrated based on population projections calculated using the Address Based Population Registration System. Population projections for the 15th of the middle month of the relevant quarter are used. |
Y |
|
Y |
0-4, |
NUTS 2 by Urban/Rural, NUTS 3 |
Household size distribution, |
18.5.3. Brief description of the method of calculating the yearly weights (please indicate if subsampling is applied to survey yearly variables)
| Brief description of the method of calculating the yearly weights (please indicate if subsampling is applied to survey yearly variables) |
Gender is used in weighting (Y/N) |
Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)? |
Which regional breakdown is used in the weighting (e.g. NUTS3)? |
Other weighting dimensions |
| In the calculation of yearly weights, the initial weights adjusted by the nonresponse of each month which were already calculated during the year are defined as the input weights in the calibration procedure. After bringing together all data the weights are calibrated by the "1st of July of the related year population projections" based on Address Based Population Register. Integrative calibration method is applied in the procedure. Also trimming procedure is applied to avoid the use of extreme weights. |
Y |
0-4, |
NUTS 2 by Urban/Rural, NUTS 3 |
Household size distribution |
18.5.4. Brief description of the method of calculating the weights for households
|
18.6. Adjustment
Not requested for the LFS quality report.
18.6.1. Seasonal adjustment
| Do you apply any seasonal adjustment to the LFS Series? (Y/N) |
If Yes, is your adopted methodology compliant with the ESS guidelines on seasonal adjustment? (ref. ESS guidelines on seasonal adjustment - Products Manuals and Guidelines - Eurostat (europa.eu) (Y/N) |
If Yes, are you compliant with the Eurostat/ECB recommendation on Jdemetra+ as software for conducting seasonal adjustment of official statistics. (weblink) (Y/N) |
If Not, please provide a description of the used methods and tools |
| Y |
Y |
Y |
|
| The EU Labour Force Survey (EU-LFS) is the largest European household sample survey. Its main statistical objective is to classify the population of working age (15 years and over) into three mutually exclusive and exhaustive groups: employed persons, unemployed persons, which together represent the ‘labour force’, and the people outside the labour force.
|
1 August 2026
The statistical concepts and definitions used in the Household Labour Force Survey are aligned with EU-LFS requirements and relevant ILO standards. The population aged 15 years and over is classified into three mutually exclusive and exhaustive groups: employed persons, unemployed persons and persons outside the labour force. Employment, unemployment, labour underutilisation, NEET and other supplementary labour-market indicators are produced in accordance with Regulation (EU) 2019/1700 and Commission Implementing Regulation (EU) 2019/2240.
The data collection shall be carried out in each Member State for a sample of observation units constituted by private households or by persons belonging to private households who have their usual residence in that Member State.
The statistical population shall consist of all persons having their usual residence in private households in each Member State.
Not requested for the LFS quality report.
• Month
• Quarter
• Year
Not requested for the LFS quality report.
The LFS produces different indicators with different measures:
• Numbers;
• Percentages;
• Averages (e.g, hours).
Not requested for the LFS quality report.
The primary data source is the Household Labour Force Survey, a continuous household sample survey. The National Address Database, based on the Address Based Population Registration System, is used as the sampling frame. Administrative registers are also used to obtain basic demographic information—such as age, sex and nationality—and personal telephone numbers.
First release (monthly 12x), quarterly (4x), yearly (1x), ad hoc module results (1x)
References to Annex File.
All statistics are comparable between geographical areas, as the same concepts, definitions, classifications and methodological procedures are applied throughout Türkiye.
11 years
