Employment and unemployment (Labour force survey) (employ)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Turkish Statistical Institute (TURKSTAT)


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)



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Turkish Statistical Institute (TURKSTAT)
1.2. Contact organisation unit

Labour Force Statistics Unit
1.5. Contact mail address

Devlet Neighborhood Necatibey Street No:114 06420 Çankaya/Ankara Türkiye


2. Metadata update Top
2.1. Metadata last certified

23 November 2025
2.2. Metadata last posted

23 November 2025
2.3. Metadata last update

23 November 2025


3. Statistical presentation Top
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.

 

Abbreviation

Explanation

CV

Coefficient of variation (or relative standard error)

Y/N

Yes / No

H/P

Households/Persons

M?

Member State doesn’t know

NA

Not applicable/ Not relevant

UNA

Information unavailable

NR

Non-response: Member State doesn’t answer to Eurostat request for information. Blank is allowed only in boxes with comments

LFS

Labour Force Survey

NUTS

Nomenclature of territorial units for statistics or corresponding statistical regions in the EFTA and candidates countries

 
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
Sector Employment (%)
Total 100.0%
Agriculture, forestry and fishing 14.8%
Mining and quarrying 0.5%
Manufacturing 19.7%
Electricity, gas, steam, water supply, sewerage etc. 1.0%
Construction 6.3%
Whole-sale and retail trade 14.3%
Transpor-tation and storage 5.0%
Accommodation and food service activities 5.7%
Information and communication 1.0%
Financial and insurance activities 1.1%
Real estate activities 1.1%
Professional, scientific and technical activities 3.1%
Administra-tive and support service activities 3.6%
Public administra-tion and defence 6.6%
Education 6.2%
Human health and social work activities 6.3%
Arts, entertain-ment and recreation 0.6%
Other social, comminity and personal service activities 3.1%
3.3.1. Coverage

Individuals living in private households in the Country

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

Basic indicators regarding employment, unemployed and those not included in the labour force, as well as many complementary indicators such as NEET, labour underutilization or lifelong learning are produced in accordance with the definitions and concepts.
3.4.1. Household concept

Members living together in the same dwelling.
3.4.2. Definition of household for the 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

Family home

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.


4. Unit of measure Top

The LFS produces different indicators with different measures:

  • Numbers;
  • Percentages;
  • Averages (e.g, hours).


5. Reference Period Top
  • Month
  • Quarter
  • Year


6. Institutional Mandate Top
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. Confidentiality Top
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. Release policy Top
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:

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.

The Official Statistics Programme (2022-2026)


9. Frequency of dissemination Top

Monthly (12x), quarterly (4x), yearly (1x), ad hoc module results (1x)


10. Accessibility and clarity Top
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).

Labour Force Statistics Press Releases
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 LFS national microdata (Y/N)

Y
10.4.2. Who is entitled to the access (researchers, firms, institutions)?

The researchers of the following institutions and organizations can access to micro data produced and/or published by the Turkish Statistical Institute (TurkStat) upon approval of the Presidency on condition that they are used in researches for scientific purpose:

a) Institutions and organizations covered under the Programme,
b) Other official institutions and organizations in Turkey,
c) Universities and other higher educational institutions,
d) Research based establishments and institutions,
e) International organizations at which Turkey is a member.
10.4.3. Conditions of access to data

Users can 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

Methodological notes
10.7. Quality management - documentation

Household Labour Force Statistics Instutional Quality Report, 2023


11. Quality management Top
11.1. Quality assurance

Not requested for the LFS quality report.
11.2. Quality management - assessment

Not requested for the LFS quality report.


12. Relevance Top
12.1. Relevance - User Needs

The aim of the survey is to reveal clearly the status of the population in terms of labor,  to compile detailed information about employment and unemployment and to offer them to the public for the usage of determinants of economic policies and reviewers of country's economy.

12.2. Relevance - User Satisfaction

Not requested for the LFS quality report.
12.3. Completeness

ESS requirements for data items are met.
12.3.1. Data completeness - rate

Not requested for the LFS quality report.
12.3.2. NUTS level of detail

Annual results are available for NUTS 2 and 3 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. Accuracy Top
13.1. Accuracy - overall

Not requested for the LFS quality report.
13.2. Sampling error

Probability sampling is used for Household Labour Force Survey and CV values also share with users.
13.2.1. Sampling error - indicators

Probability sampling is used for Household Labour Force Survey and CV values also share with users.
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

The formula for "Employment Rate in 13.2.1.1 Table" as below:

Employment rate = number of employed persons aged 15-74 / population of persons aged 15-74
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 for a given variable is defined as the (weighted) ratio between in-scope units that have not responded and in-scope units that are required to respond to the particular item.
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

References to Annex File.
13.3.4. Processing error

There iis no significant processing errors.
13.3.4.1. Editing and imputation process

References to Annex File.
13.3.4.2. Outliers treatment and other data editing procedures for INCGROSS

References to Annex File.
13.3.5. Model assumption error

Not requested for the LFS quality report.


14. Timeliness and punctuality Top
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 is no time lag in the data release schedule for country-level outputs.
14.2.1. Punctuality - delivery and publication

Not requested for the LFS quality report.


15. Coherence and comparability Top
15.1. Comparability - geographical

All statistics are comparable between geographical areas.
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

(European concept or National proxy concept used) List all concepts where any divergences can be found

 

 

Is there any divergence between the national and European concepts for the following characteristics?

(Y/N)

Give a description of difference and provide an assessment of the impact of the divergence on the statistics

Definition of resident population (*)

N

 

Identification of the main job (*)

N

 

Employment

N

 

Unemployment

N

 
15.2. Comparability - over time

There have been sufficient changes to warrant the designation of a break in series over years.
15.2.1. Length of comparable time series

10 years
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
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.
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.
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.
15.3.3. Which is the use of 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 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.      
15.3.5. Coherence of 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 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

References to Annex File.
15.4. Coherence - internal

Not requested for the LFS quality report.


16. Cost and Burden Top

These indicators are evaluated through respondent burden studies.
16.1. Number of staff involved in the LFS in central and regional offices, excluding interviewers. Consider only staff directly employed by the NSI.

Not requested for the LFS quality report.
16.2. Duration of the interview by Final Sampling Unit

4.3 minutes (Average time per person aged 15 and over)


17. Data revision Top
17.1. Data revision - policy

The standard revision policy document is published annually.
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? (ref. http://ec.europa.eu/eurostat/documents/3859598/5935517/KS-RA-13-016-EN.PDF)

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. Statistical processing Top
18.1. Source data

Data are based on a survey, administrative data process, multisource process, or macro-aggregates.
18.1.1. Sampling design & Procedure frame

 

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

First (and intermediate) stage sampling method

  Final stage sampling method

Stratification (variable used)

Number of strata (if strata change quarterly, refer to Q4).

Rotation scheme (2-2-2, 5, 6, etc.)

In the first stage, blocks are systematically selected with probability proportional to the size according to the total number of household addresses in the blocks.

Second stage units (household addresses) are selected with systematic selection.

At the first stage of sampling, the implicit strata are defined as 81 provinces and urban-rural areas. An urban area is defined as a settlement with more than 20 000 inhabitant, rural area is defined as a settlement with less than 20 000 inhabitant based on current Address Based Population Register System. Not all provinces have a rural area.

158 (81 provinces and urban-rural areas)

2-2-2
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)

 

 

 

 
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 Yes, please indicate which

registers.

Y

Basic demographic information for individuals (e.g., age, sex, nationality) and personal phone numbers.
18.3.3. Description of data collection and reference period for INCGROSS

References to Annex File.
18.3.4. Description of percentiles and bands used for INCGROSS

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.
18.5.1.1. Editing and imputation process for INCGROSS

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,
5-11,
12-14,
15-17,
18-20,
21-24,
25-29,
30-34,
35-39,
40-44,
45-49,
50-54,
55-59,
60-64,
65-74,
75+

NUTS 2 by Urban/Rural, NUTS 3

Household size distribution, Monthly published main labor force indicators (employment, unemployment, labour force and youth unemployment ratios) for the relevant quarter
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,
5-11,
12-14,
15-17,
18-20,
21-24,
25-29,
30-34,
35-39,
40-44,
45-49,
50-54,
55-59,
60-64,
65-74,
75+

NUTS 2 by Urban/Rural, NUTS 3"

Household size distribution
18.5.4. Brief description of the method of calculating the weights for households

Brief description of the method of calculating the weights for households

Any external reference for number of households etc.?

Which factors at household level are used in the weighting (number of households, household size, household composition, etc.)

Which factors at individual level are used in the weighting (gender, age, regional breakdown etc.)?

Are the household weights identical for all household members? (Y/N)

Household address is the final sampling unit selected for the LFS. Depending on the weighting procedure explained above identical household weights for all household members are obtained as result of integrative calibration. Therefore, no additional calculations are applied for household weights.

Number of households coming from Address Based Population Register System.

Household size information coming from Address Based Population Register.

Age group by sex, NUTS 2 by Urban/Rural, NUTS 3

Y
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? (Y/N)

If Not, please provide a description of the used methods and tools

Y

Y

Y

 


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Related metadata Top


Annexes Top
LFS ANNEX [LFS_QR_Multiple+1.0_upd]