1.1. Contact organisation
ISTAT
1.2. Contact organisation unit
Education, Training and Labour Division
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Via Cesare Balbo, 39
00184 Rome - Italy
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
2.1. Metadata last certified
7 September 2026
2.2. Metadata last posted
7 September 2026
2.3. Metadata last update
7 September 2026
3.1. Data description
Pre-filled example: 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. Country can modify or add more information.
| 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 (used for textual data) |
| NaN |
Not applicable (used for numerical data) |
| 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
The IT-LFS uses international classifications and nomenclatures for the country, region, degree of urbanisation, education, occupation, economic activity, professional status and the European Socio-economic Group, in line with the explanatory notes defined by Eurostat.
3.3. Coverage - sector
The reference population is the "resident population", living in private households of all the Italian regions.
Non resident households, people not living in private households are not covered.
3.3.1. Coverage
Individuals living in private households in Italy.
3.3.2. Inclusion/exclusion criteria for members of the household
Household members are identified according to
- the usual residence in the dwelling and
- sharing income or household expenses.
People temporarily absent(for various reasons: health, tourism, detention,...) are included in the household if the duration of the absence is less than 12 months, otherwise they are excluded.
Person who works away from the family home during the week and who usually returns to the family home at the weekends, shall consider the family home to be his or her place of usual residence
Regardless of the duration of the absence, are included in the household:
- persons who live outside their family home for the purpose of work shall consider their family home to be their place of usual residence in case they significantly contribute to the household income and are not usual residents of another private household;
- students who are away from family home shall consider their family home to be their place of usual residence in case they benefit from the household income and are not usual residents of another private household.
Persons living as usual residents in institutions are excluded.
3.3.3. Questions relating to labour status are put to all persons aged
15-89. From the first quarter 2008 onwards Italian LFS data on people aged 15 years old don’t include neither employed nor unemployed (they are all classified as inactive people).
3.4. Statistical concepts and definitions
No divergence between the national and European concepts and definitions
3.4.1. Household concept
Housekeeping
3.4.2. Definition of household for the EU-LFS
Private households are made up either of persons living alone or of two or more persons usually reside together in a housing unit or part of a housing unit and share income or household expenses with the other household members. Households to be interviewed are selected from the frame of registered resident households. The household is included in the sample if in the dwelling there is at least the reference person or his/her partner or ex-partner (either married or in consensual union), according to the population register.
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 |
|
|
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 1959.
3.9. Base period
Not requested for the LFS quality report.
The LFS produces different indicators with different measures:
- Numbers;
- Percentages.
- 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.
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.
7.2. Confidentiality - data treatment
Different statistical disclosure control (SDC) techniques are applied in order to manage the disclosure risk of each statistical unit, for each type of microdata released.
In microdata files for National Statistical System no particular anonimizing technique is applied and the whole information is available (except for direct identifiers), since the Institution that access the data is in charge of compliance with the legal framework on privacy protection in Italy.
In Microdata for Reserach Use (MFR) variable suppression and global recoding are applied, to preserve as much as possible the analytical validity of microdata, only the units considered at risk of disclosure are generally modified.
In Public use files (called mIcro.STAT) local suppression and global recoding are applied, to preserve as much as possible the analytical validity of microdata, only the units considered at risk of disclosure are generally modified. Moreoveer some individual records are suppressed.
An anonymisation report is included in the microdata release to give more details and information on the statistical disclosure limitation methods applied.
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
Every month/quarter new figures are disseminated by a press-release. Together with both monthly and quarterly press releases a large number of indicators are made available on the Istat data warehouse.
Annual averages are also disseminated in Istat data warehouse. Moreover for specific topics ad hoc releases or dedicated volumes are produced.
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.
Together with both monthly and quarterly press releases a large number of indicators are made available on the Istat data warehouse. Annual averages are also disseminated in Istat data warehouse. Moreover for specific topics ad hoc releases or dedicated volumes are produced.
First release, quarterly (4x), yearly (1x), ad hoc module results (1x).
10.1. Dissemination format - News release
Every month/quarter new figures are disseminated by a press-release. Together with both monthly and quarterly press releases a large number of indicators are made available on the Istat data warehouse. Annual averages are also disseminated in Istat data warehouse. Moreover for specific topics ad hoc releases or dedicated volumes are produced.
10.2. Dissemination format - Publications
Access to macrodata: the main data distribution means is Internet, through the Istat website. As a matter of facts, all publications and a large set of already processed indicators are freely available on line. Specific users requests of indicators not already available are satisfied subject to a preliminary check on estimates reliability and against the payment of a fee which covers the cost related to time necessary for data processing. In this case data are provided in Excel format by e-mail.
10.3. Dissemination format - online database
Every month/quarter new figures are disseminated by a press-release. Together with both monthly and quarterly press releases a large number of indicators are made available on the Istat data warehouse. Annual averages are also disseminated in Istat data warehouse. Moreover for specific topics ad hoc releases or dedicated volumes are produced.
10.3.1. Data tables - consultations
Not requested for the LFS quality report.
10.3.2. Web link to national methodological publication
Web link to national methodological publication.
10.3.3. Conditions of access to data
Access to microdata file for national institutions belonging to the National Statistical System (SISTAN) is always granted
Access to microdata files for research (MFR) is allowed for research purposes only; projects are welcome from universities, research institutes or from bodies who can prove a recognized research attitude. Researchers from foreign universities and institutes are also allowed.
Micro data files for public users are available on the Istat website for registered users.
10.3.4. Accompanying information to data
Press releases include a short description of the main survey characterstics. Together with microdata files the list of columns and codes of the variables, the questionnaire and an Excel file useful to estimate sampling errors are provided.
10.3.5. Further assistance available to users
On every publication a reference person is indicated, with telephone number and e-mail address, to whom it is possible to ask for any clarification.
10.4. Dissemination format - microdata access
Microdata are released, free of charge.
10.4.1. Accessibility to EU-LFS national microdata (Y/N)
Y
10.4.2. Who is entitled to the access (researchers, firms, institutions)?
Access to microdata: Microdata are free of charge. Users are divided in three groups: Institutions belonging to the National Statistical System (SISTAN), such as Ministries, Municipalities; University or researcher, and other users. Two first users access to a greater level of detail in comparison with other users. .
A second difference concerns the list of blanked variables. For SISTAN users only variables with reliability problems are blanked, whereas for other users some variables are blanked also for anonymization reasons. Istat also gives external users the possibility to process microdata in his premise in a specific laboratory for the analysis of individual data (Laboratorio per l’Analisi dei Dati ELEmentari – ADELE ). In this case users can access the complete datasets, but Istat controls that the information produced by users respect privacy laws.
10.4.3. Conditions of access to data
Access to microdata file for national institutions belonging to the National Statistical System (SISTAN) is always granted
Access to microdata files for research (MFR) is allowed for research purposes only; projects are welcome from universities, research institutes or from bodies who can prove a recognized research attitude. Researchers from foreign universities and institutes are also allowed.
Micro data files for public users are available on the Istat website for registered users.
10.4.4. Accompanying information to data
Microdata files are accompanied by the list of columns and codes of the variables, the questionnaire and an Excel file useful to estimate sampling errors are provided.
10.4.5. Further assistance available to users
On every publication or file disseminated a reference person is indicated, with telephone number and e-mail adress, to whom it is possible to ask for any clarification.
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
ISTAT- “La rilevazione sulle forze di lavoro: contenuti, metodologie, organizzazione” Metodi e norme n. 32 2006
C. Ceccarelli C., S. Rosati. Data Editing for the Italian Labour Force Survey, Conference of European Statisticians, Work Session on Statistical Data Editing, United Nations Statistical Commission and Economic Commission for Europe, Ottawa, Canada, 16-18 May 2005.
M. G. Grassia, F. Pintaldi, L. Quattrociocchi, Wage and Salary in the Labour Force Survey, 2006
F. Camillo, M. G. Grassia, F. Pintaldi, L. Quattrociocchi, How to estimate the effectiveness of on-line codify with searching engines -The Italian experience of Istat Labour Force Survey, Miami, 2006
G. Giuliani, M. G. Grassia, L. Quattrociocchi, R. Ranaldi, New methods for measuring quality indicators of ISTAT’s new CAPI/CATI Labour Force Survey, ISTAT - Department for statistical production and technical-scientific coordination Labour Force Survey ,2004
S. Bergamasco, S. Gazzelloni, L. Quattrociocchi, R. Ranaldi, A.Toma, V. Triolo New strategies to improve quality of ISTAT new CAPI/CATI Labour Force Survey, ISTAT - Department for statistical production and technical-scientific coordination Labour Force Survey, 2004
M. G. Grassia, F. Pintaldi, L. Quattrociocchi The electronic questionnaire in ISTAT’s new CAPI/CATI Labour Force Survey ISTAT - Department for stati• Istat 3 June 2004 S. Gazzelloni, M. Albisinni, L. Bagatta, C. Ceccarelli, L. Quattrociocchi, R. Ranaldi, A. Toma The new Labour Force Survey Contents methodology organisation, 2004
S. Bergamasco, G. Budano, L. Quattrociocchi, A.Toma, The new Istat network for capturing interview data: the technological architetture ISTAT - Department for statistical production and technical-scientific coordination Labour Force Survey, 2003
10.7. Quality management - documentation
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 main LFS statistics on employment (by professional status, temporary/permanent job, working time, economic activity sector, occupation, etc.), unemployment and inactivity represent the official estimates on the labour market supply, and they are considered very relevant by policy makers, other stakeholders, media and academic researchers.
12.2. Relevance - User Satisfaction
Not requested for the LFS quality report.
12.3. Completeness
There are no completeness issues in IT-LFS
12.3.1. Data completeness - rate
Not requested for the LFS quality report.
12.3.2. NUTS level of detail
NUTS3, provinces in Italy, are planned annual estimation domain for IT-LFS.
NUTS2, regions, are planned quartely estimation domain for IT-LFS.
12.3.2.1. Regional level of an individual record (person) in the national data set
NUTS3
12.3.2.2. Lowest regional level of the results published by NSI
NUTS3
12.3.2.3. Lowest regional level of the results delivered to researchers by NSI
NUTS3
13.1. Accuracy - overall
Not requested for the LFS quality report.
13.2. Sampling error
References to Annex File.
13.2.1. Sampling error - indicators
References to Annex File.
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 population figure at the denominator of the employment rate is not an estimate, but it is one of the totals introduced in the calibration as constraints (known from administrative source). thus its sampling error is equal to 0. The CV for the employment rate is the same as the CV for the employed people.
13.2.1.4. Reference on software used
ReGenesees: software produced by Istat
13.2.1.5. Reference on method of estimation
ReGenesees: software produced by Istat.
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
References to Annex File.
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
References to Annex File.
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.
References to Annex File.
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
Not requested for the LFS quality report.
14.2.1. Punctuality - delivery and publication
Not requested for the LFS quality report.
IT-LFS are fully coherent at regional and subregionale level. NUTS3 provinces are planned domain for annual direct estimates.
15.1. Comparability - geographical
Full comparability at geographical level is granted.
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
No comparability issues over time
15.2.1. Length of comparable time series
Not requested for the LFS quality report.
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 |
Differences in concepts between LFS and National Accounts (NA) are due to the different purposes of the two estimates. The first is aimed at describing the labour market conditions; the second at estimating the amount of labour input as productive factor underlying GDP. Employment in NA refers to “domestic employment” whereas LFS definition of employment is more similar to the idea of “national employment”. |
To produce their estimates NA collect and process information from different sources of various nature: household and business surveys, statistical registers, and administrative sources. |
Year 2024 in thousands: |
Details on the methodology used by the National Account to estimate employment and the comparison with LFS have been provided in Chapter 7 of the Italy- Gross National income inventory (ESA 2010) – December 2021. |
| Total employment by NACE |
Business data relating to Italian businesses in the fields of industry and services arise from two integrated sources: (i) a sample survey on medium and small enterprises and (ii) a census survey on enterprises having 100 workers and more. Further ISTAT’s surveys focus on businesses in the field of agriculture. In any case, both LFS and business surveys use the same classification of economic activity, referring to NACE |
UNA |
UNA |
UNA |
| Number of hours worked |
LFS collects individual information on the number of hours actually and usually worked. Business surveys collect information on firm's total amount of hours (thus considering only regular worked hours for employees) |
UNA |
Negligible in terms of weekly hours |
UNA |
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 |
Y |
N |
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 |
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 |
UNA |
Due to the number of different sources used by business statistics’ surveys and to the relevant differences in concepts and measures with those used in Italian LFS, no comparisons between LFS and business statistics’ data have been done up to now. |
UNA |
| Total employment by NACE |
Business data relating to Italian businesses in the fields of industry and services arise from two integrated sources: (i) a sample survey on medium and small enterprises and (ii) a census survey on enterprises having 100 workers and more. Further ISTAT’s surveys focus on businesses in the field of agriculture. In any case, both LFS and business surveys use the same classification of economic activity, referring to NACE |
UNA |
See above |
UNA |
| Number of hours worked |
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 |
UNA |
See above |
UNA |
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 |
| Differences between Public Employment Services (in Italian "Servizi Pubblici per l'Impiego" SPI) and LFS data concern: (1) LFS excludes from unemployment all individuals who have any kind of job, whereas SPI include individuals who have temporary jobs or salaries below a given amount; (2) the immediate availability for a job required by LFS is based on self declarations. On the contrary, SPI exclude individuals who miss scheduled encounters or refuse a fair job offer; (3) in LFS registration at SPI in order to find a job is only one of the possible active search actions. |
At the moment, data from administrative sources are not available |
The specification of the concept of unemployment adopted by the Public Service for Employment (SPI) is provided by the Legislative Decree no.181/2000 as amended by the Decree Law no.297/2002 containing provisions to facilitate the meet of supply and demand. LFS follows the Commission Regulation 1897/2000. |
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) |
| UNA |
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.
The numbers are provided by you in the Annex sheet P161
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.
The numbers are provided by you in the Annex sheet P161.
16.2. Duration of the interview by Final Sampling Unit
The numbers are provided by you in the Annex sheet P162.
17.1. Data revision - policy
Not requested for the LFS quality report.
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, fully compliant
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
See below.
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 |
| The sample design is a two stage sampling with stratification of the primary units. |
Resident population and households register |
The sampling frame is continuously updated by the Italian municipalities, but it is delivered to Istat once per year, updated at the 1st January of the year. The sample selection is made once per year, during spring. |
Municipalities |
Households March 2024
|
|
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) |
| 2 |
y |
|
|
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 information is collected through computer assisted personal (CAPI) or telephonic (CATI) interviews, carried out by professional interviewers. |
Y |
Blaise for both CAPI and CATI |
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. |
| N |
INCGROSS |
|
|
|
|
|
|
|
|
|
*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.
Pre-filled example:
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.
Country can modify or add more information.
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 |
| The calibration estimator is used to obtain LFS estimates. Grossing weights are determined as follows: |
Y |
|
Y |
14 5-year age groups (0-14, 15-19, ..., 70-74, 75+ ) at NUTS2 level and 5 age groups of different width at NUTS3 level |
NUTS3 |
Monthly population by gender (at NUTS2), number of households by wave (at NUTS2), foreigner population (Male, Female, EU and Not EU at NUTS2), population in metropolitan areas (municipalities with resident population over than 250 thousands units) by gender and 5 age groups |
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 |
| Average of the quarterly core weights. No subsampling is applyed to provide yearly estimates |
Y |
same as quarterly weighting |
same as quarterly weighting |
same as quarterly weighting |
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 |
NA |
Pre-filled example: 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. Country can modify or add more information.
| 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 (used for textual data) |
| NaN |
Not applicable (used for numerical data) |
| 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 |
7 September 2026
No divergence between the national and European concepts and definitions
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.
- Quarter
- Year
Not requested for the LFS quality report.
The LFS produces different indicators with different measures:
- Numbers;
- Percentages.
Not requested for the LFS quality report.
See below.
First release, quarterly (4x), yearly (1x), ad hoc module results (1x).
References to Annex File.
Full comparability at geographical level is granted.
No comparability issues over time
