1.1. Contact organisation
Statistics Poland
1.2. Contact organisation unit
Social Surveys and Labour Market Department
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Social Surveys and Labour Market Department
Statistics Poland
Al. Niepodległości 208
00-925 Warszawa
Poland
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
9 July 2026
2.2. Metadata last posted
9 July 2026
2.3. Metadata last update
9 July 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.
| 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 EU-LFS results are produced in accordance with the relevant international classification systems. The main classifications used are NACE Rev. 2 for economic activity, ISCO 08 (from 2011) for occupation, ISCED 2011 for level of education (from 2014) and ISCED-F 2013 for field of education (from 2016). Actual coding in the EU-LFS may deviate to some extent from those general standards; for more details on classifications, levels of aggregation and transition rules, please consult EU-LFS (Statistics Explained) - Methodology
3.3. Coverage - sector
See below
3.3.1. Coverage
Individuals living in private households in Poland
3.3.2. Inclusion/exclusion criteria for members of the household
Household members include:
- persons present in the household, i.e. staying or intending to stay there for 12 months and more - regardless of whether they are registered or not,
- persons absent (the total duration of actual and planned absence is considered) for up to 12 months (e.g. persons staying temporarily abroad, living in institutional households or other households in the country for less than 12 months).
3.3.3. Questions relating to labour status are put to all persons aged
15-89
3.4. Statistical concepts and definitions
See below
3.4.1. Household concept
Housekeeping
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 |
‘Most of the time’ criteria |
Family home |
‘Most of the time’ criteria |
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.
In Poland, the units of observation are private households.
3.6. Statistical population
The statistical population shall consist of all persons having their usual residence in private households in each Member State.
This is applicable in the Polish labour force survey.
3.7. Reference area
Not requested for the LFS quality report.
3.8. Coverage - Time
Data is available from 1992
3.9. Base period
Not requested for the LFS quality report.
The LFS produces different indicators with different measures:
- Numbers;
- Percentages.
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:
The legal basis for the Labour Force Survey in Poland is provided by the Act of 29 June 1995 on Official Statistics (with later amendments) and the programme of statistical surveys of official statistics for a particular year.
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:
Act of 29 June 1995 on Official Statistics (with later amendments).
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
PL-LFS 2024 - Information about the survey
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 Statistics Poland’s website.
Results are disseminated to all users at the same time.
First release, quarterly (4x), ad hoc module results (1x)
10.1. Dissemination format - News release
Press releases are published regularly at national level:
“Employed, unemployed and economically inactive persons (preliminary LFS results)” – news release with main results from LFS, prepared every quarter after calculating the survey results (about 2 months after the reference period)
10.2. Dissemination format - Publications
"Labour Force Survey in Poland" (for given quarter of the year) - the main publication including more specific results, precision indices, methodological issues etc.; published quarterly (online version only)
Labour force survey in Poland - quarter 4/2024
10.3. Dissemination format - online database
See below
10.3.1. Data tables - consultations
Not requested for the LFS quality report.
10.3.2. Web link to national methodological publication
Methodological report: Statistics Poland / Topics / Labour Market / Methodical rules, Yearbook of Labour / Methodological report Labour Force Survey
10.3.3. Conditions of access to data
At national level: aggregated data available to public, microdata available to researchers, international institutions, government institutions and National Polish Bank (NBP).
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
See below
10.4.1. Accessibility to EU-LFS national microdata (Y/N)
Y
10.4.2. Who is entitled to the access (researchers, firms, institutions)?
Researchers, science institutes, universities, international institutions, government institutions, National Polish Bank (NBP)
10.4.3. Conditions of access to data
Institutions must obtain individual for each case consent of Statistics Poland in order to get access to these data. The institutions must justify the need to obtain access to microdata – give the aim of data use. All data are anonymized before dissemination to these institutions.
10.4.4. Accompanying information to data
Questionnaire, methodological explanations, structure of data
10.4.5. Further assistance available to users
Phone or e-mail support
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
Popiński W., Development of the Polish Labour Force Survey, Statistics in Transition – Journal of the Polish Statistical Association, Vol. 7, No.5, 2006, pp. 1009-1030.
Publication "Labour Force Survey in Poland" (for a given quarter of the year) - contains a section on methodology of LFS in Poland. Detailed information concerning the Polish LFS methodology is also available in Methodological Report on LFS (on the Statistics Poland website, only in Polish).
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
National level: within the framework of elaborating the annual programme of statistical surveys, the data users report their needs concerning extending or changing the scope of the data collected in the PL-LFS. Only the proposals which are in accordance with the objective and methodology of the carried out survey and will not have too much impact on the increase in the survey costs or burdening respondents (which may negatively influence both the implementation and quality of the survey) are taken into account.
12.2. Relevance - User Satisfaction
Not requested for the LFS quality report.
12.3. Completeness
See below
12.3.1. Data completeness - rate
Not requested for the LFS quality report.
12.3.2. NUTS level of detail
See below
12.3.2.1. Regional level of an individual record (person) in the national data set
LAU
12.3.2.2. Lowest regional level of the results published by NSI
NUTS2
12.3.2.3. Lowest regional level of the results delivered to researchers by NSI
NUTS2
13.1. Accuracy - overall
Not requested for the LFS quality report.
13.2. Sampling error
See below
13.2.1. Sampling error - indicators
See below
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 denominator for the calculation of the CV for the employment rate is the estimate of the employment rate as a percentage of the population
13.2.1.4. Reference on software used
SAS Base
13.2.1.5. Reference on method of estimation
Bootstrap method with calibration of bootstrap weights
Shao J. and Tu D., The Jackknife and Bootstrap, Springer-Verlag, New York 1995
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
See below
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
See below
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
See below
14.2.1. Punctuality - delivery and publication
Not requested for the LFS quality report.
15.1. Comparability - geographical
See below
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 |
NA |
| Identification of the main job (*) |
N |
NA |
| Employment |
N |
NA |
| Unemployment |
N |
NA |
15.2. Comparability - over time
See below
15.2.1. Length of comparable time series
72 months
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 |
For NA we use domestic concept and national concept. According to national concept there is a difference with LFS concerns persons in own-use production work in agriculture – they are excluded from LFS but included in NA. According to domestic concept there is the same difference as described above and there are also the following differences: LFS data used in national accounts are adjusted by excluding Polish residents working abroad (residents working outside the economic territory) and by including foreigners working for the Polish employers (non residents working inside the economic territory). The data on foreigners working in Poland are taken from the annual survey carried out on a Z-06 form on employment, wages and salaries, and hours worked. The survey is carried out by the Statistics Poland and includes all entities of the national economy with 10 or more persons employed and the budgetary sphere units regardless of the number of persons employed. |
For NA domestic concept, data from Labour Force Survey by excluding residents working abroad and by including foreigners working for the Polish employers and by including persons in own-use production work in agriculture. |
I quarter 2024 LFS data: 17194 thous. NA*: 17388.7 thous. difference: -194.7 thous. II quarter 2024 LFS data: 17205 thous. NA*: 17417.7 thous. difference: -212.7 thous. III quarter 2024 LFS data: 17277 thous. NA*: 17435.6 thous. difference: -158.6 thous. IV quarter 2024 LFS data: 17247 thous. NA*: 17377.6 thous. difference: -130.6 thous. Annual average LFS data: 17231 thous. NA*: 17404.9 thous. difference: -173.9 thous. *provisional data for domestic concept |
UNA |
| Total employment by NACE |
No difference in concept. |
NA |
NA |
NA |
| Number of hours worked |
The total number of hours worked of all persons employed according to the domestic concept consists of: total number of hours worked by employees from the survey LFS (including persons in own-use production work in agriculture and excluding residents working outside the economic territory) and the number of hours worked by foreigners working in resident units (statistical survey carried out on a Z-06 form conducted by entities ). In the LFS, the average number of hours worked per week is calculated as the ratio of the sum of hours worked in the reference week (the actual number of hours) to the number of persons working in the reference week. The following method of estimation of the number of hours worked by employed according to the domestic concept is adopted: number of employed persons (according to the domestic concept) working in the quarter is multiplied by the average number of hours worked in the reference week (in the LFS) and the average number of weeks in the quarter. Data for NA by national concept are not elaborated by number of hours worked. |
For NA domestic concept, data from Labour Force Survey by excluding residents working abroad and by including foreigners working for the Polish employers and by including persons in own-use production work in agriculture. |
UNA |
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 |
Business surveys comprise only persons employed in enterprises. LFS in contrary to business statistics covers employment in informal economy and all forms of contracts (contracts of specific work, contract of mandate). LFS does not cover people living in collective households. LFS covers residents of Poland working abroad (if their absence in households is less than 12 months) and business statistics covers persons working in Poland for Polish entities (which are not Polish residents). |
In business statistics number of persons employed is measured at the end of the reference period and the number of employees as average in FTE. In LFS generally it is counted as number of persons in a given quarter. |
UNA |
UNA |
| Total employment by NACE |
LFS covers all NACE groupings, STS industry, construction, retail trade, repairs and other services (but for example without financial ones); SBS covers industry, construction, distributive trade, services (but without not market ones e.g. health, education). |
NACE code in LFS depends on the knowledge of respondent regarding the economic activity of firm in which this respondent works. In business statistics the NACE code is based on declaration of the company. |
UNA |
UNA |
| Number of hours worked |
Differences not present or not known. |
Hours actually worked but not recognized by employer are not counted in business statistics in contrary to LFS. |
UNA |
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 |
|---|---|---|
| Registered unemployment is measured according to national legislation and its definition differs from ILO unemployment concept. Labour offices use the definition of the unemployed according to the Act of 20 April 2004 on Employment Promotion and Labour Market Institutions (Journal of Laws 2024 item 475, as amended) in which as unemployed are classified: persons aged 18 and more and who have not reached the retirement age: women 60 years, men – 65 years /in case of LFS the possible age is 15-74 years, person may be in retirement and be unemployed/, are not employed and not performing any other kind of paid work, available for full-time work required for a given occupation or service or any other paid work (or in the case of persons with disabilities - available for at least half of the full working time required for a given occupation or service) /in case of LFS looking actively for any work matters/, are not attending any full-time schools with the exception of schools for adults or taking extra-curriculum exam covering this school curriculum in such schools or attending a stage II sectoral vocational school and post-secondary school providing education in a form of full-time or evening/weekend system, or tertiary schools in the evening or weekend education system (in case of LFS person looking for work even if she/he is student/pupil can be unemployed), and are registered in the powiat labour office, appropriate for their (permanent or temporary) place of residence (in case of LFS person doesn`t have to be registered in powiat labour office), seeking employment or any other paid work (in case of LFS person must actively look for work), with additional provisions concerning the sources of income, included in the law. |
Registered unemployment: number of unemployed persons on the end of the period - that is on the end of the month or end of the quarter. LFS: there are an average number of unemployed persons through the period (quarter). |
|
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) |
| III quarter 2024 |
III quarter 2024 |
III quarter 2024 |
III quarter 2024 |
III quarter 2024 |
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.
See below.
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.
In Poland, persons involved in the LFS in regional offices often are responsible also for other surveys on private households or prices and it is impossible to give full-time equivalents. Therefore, the information provided in the Annex File applies only to the central office.
16.2. Duration of the interview by Final Sampling Unit
References to Annex File.
17.1. Data revision - policy
See below
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?
We are compliant (Y), however the PEEIS are computed by Eurostat not by the national statistical offices.
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 |
|---|---|---|---|---|---|
| Two-stage stratified probability sampling of dwelling units |
OBS – statistical sampling frame for social surveys |
Continuously updated |
The primary sampling units refer with some exceptions to census clusters in towns and enumeration districts in rural areas |
Dwelling units |
New subsamples entering the survey in 2024: December 2023 (other subsamples - according to the rotation scheme) |
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? |
|---|---|---|
| In 2024 the LFS data for the first wave were collected mainly by face-to-face interviews using CAPI application while for the other waves (2-4) mainly by telephone interviews using CAPI application (in case of problems with IT applications or equipment paper questionnaires were used). |
Y (we use for some variables historical data from previous observations which are during the interview verified by the respondent, however, information about each respondent known prior to the interview is not used to determine question routing and wording). |
CAPI application is programmed in JAVA. |
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 |
NA |
NA |
|
|
|
|
|
|
|
|
*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.
At national level, 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 |
|---|---|---|---|---|---|---|
| The weights are computed using a four-step procedure. First the initial design weights are calculated for dwelling units, i.e. the reciprocals of the selection probabilities for the final sampling units in each stratum. Secondly, the weighted response rates are calculated for sampling units stratified a posteriori by six place-of-residence categories in each NUTS2 region. Thirdly, the initial weights are adjusted by the response rates. The final step invovlves calibration to some constraints which include the population by the urban-rural division, sex, age, NUTS2 region and a constraint forcing equal representation of reference weeks in the quarterly estimates. |
N |
Reference population covers entire population excluding members of households living temporarily abroad for more than 12 months or living in institutional households |
Y |
|
NUTS2 |
6 categories of place of residence (the rural area or one of the five town classes) [in second step of weighting]; reference week [in final step of weighting] |
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 |
|---|---|---|---|---|
| The subsampling is not applied to survey yearly variables. Yearly weights are calculated as quarterly weights divided by 4 |
Y |
0-4 years, 5-9 years, 10-14 years, 15-17 years, 18-19 years, 20-24 years, 25-29 years, 30-34 years, 35-39 years, 40-44 years, 45-49 years, 50-54 years, 55-59 years, 60-64 years, 65-89 years, 90 years and more |
NUTS2 |
6 categories of place of residence (the rural area or one of the five town classes); reference week |
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) |
|---|---|---|---|---|
|
The final weights for generalisations concerning households are calculated in two additional steps based on the final population (individual) weights. In the first step the initial household weights are calculated as mean values of final individual weights attributed to household members (which may differ between household members). In the second step the initial household weights are calibrated in order to assure the consistency with individual weights estimates concerning: structure of the population by age, sex, and the place of residence (urban/rural areas), basic economic activity status (the employed, unemployed, economically inactive) by 10-years age groups between 15 and 64 years, the structure by NUTS2 and reference week. The calibration constrains used include also the consistency with initial weights estimates of households number by size (number of household members). |
N |
Number of household members (household size), NUTS2, reference week, place of residence (urban/rural areas) |
Gender, age groups, basic economic activity (labour market) status |
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. (weblink) (Y/N) |
If Not, please provide a description of the used methods and tools |
|---|---|---|---|
| Y |
Y |
Y |
NA |
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 (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 |
9 July 2026
See below
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.
In Poland, the units of observation are private households.
The statistical population shall consist of all persons having their usual residence in private households in each Member State.
This is applicable in the Polish labour force survey.
Not requested for the LFS quality report.
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), ad hoc module results (1x)
References to Annex File.
See below
See below
