1.1. Contact organisation
National Institute of Statistics
1.2. Contact organisation unit
Demography and Social Statistics Directorate
Statistical Household Surveys Unit
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
16th Libertăţii Avenue, District 5
Bucharest
Romania
Postcode: RO-050706
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
16 June 2025
2.2. Metadata last posted
16 June 2025
2.3. Metadata last update
16 June 2025
3.1. Data description
| The EU Labour Force Survey (EU-LFS) is the largest European household sample survey. Its main statistical objective is to classify the population of working age (15 years and over) into three mutually exclusive and exhaustive groups: employed persons, unemployed persons, which together represent the ‘labour force’, and the people outside the labour force.
|
3.2. Classification system
- Classification of Occupations 2008 (ISCO 08)
- Classification of economic activities Rev. 2 (NACE Rev. 2)
- International Standard Classification of Education 2011 (ISCED 2011)
3.3. Coverage - sector
All country is covered.
All economic sectors are covered.
3.3.1. Coverage
Individuals living in private households in Romania.
3.3.2. Inclusion/exclusion criteria for members of the household
Are considered memebers of the household those persons who:
- are usually resident at the address
- provide themselves with food and other essentials for living
- are sharing income or household expenses
3.3.3. Questions relating to labour status are put to all persons aged
Questions relating to employment status are put to all persons aged 15-89 years.
3.4. Statistical concepts and definitions
The variables covered are those specified in Regulation 2019/2240 and Regulation 2022/2312.
3.4.1. Household concept
Housekeeping concept is used.
3.4.2. Definition of household for the EU-LFS
Persons living regularly together in the same dwelling and sharing income, household expenditures, food and other essentials for living. A person who lives alone or occupies a separate room in a dwelling (eg tenant) but who declares that he or she does not join with any of the other occupants of the housing unit to form part of a multi-person household is considered to be a single-person household.
3.4.3. Population concept
Usually resident population (12+ months) in private households in Romania
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 |
|
| Usually resident population in private households in Romania |
Family home |
Term address (if they live in a private household; otherwise - familly home) |
The dwelling where they spend most of the time |
Family home |
The dwelling where they spend most of the time and, in case of equal time, the place where the child is found during the reference week |
3.5. Statistical unit
The data collection is carried out for a sample of private households; all persons belonging to the selected private households who have their usual residence there are surveyed.
3.6. Statistical population
All persons having their usual residence in private households in Romania.
3.7. Reference area
Not requested for the LFS quality report.
3.8. Coverage - Time
Data is available from 1996
3.9. Base period
Not requested for the LFS quality report.
The LFS produces different indicators with different measures:
- Numbers;
- Percentages.
Data collection refers to a certain reference week, to which the observation unit has been assigned prior to the fieldwork (fixed week).
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:
Law of official statistics 226/2009 and Annual National Statistical Plan - approved by Government Decision 789/2024.
6.2. Institutional Mandate - data sharing
Member States 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:
According to the national statistical law (no. 226/2009) and statistical standard rules on confidentiality, which are in line with European legislation (Council Regulation no. 223/2009 and Commission Regulation no. 557/2013).
7.2. Confidentiality - data treatment
According to the national statistical law (no. 226/2009) and statistical standard rules on confidentiality, which are in line with European legislation (Council Regulation no. 223/2009 and Commission Regulation no. 557/2013).
Data is released after checking it does not reveal confidential data. Direct identifiers and any other identification data are removed.
8.1. Release calendar
EU level:
(1) Pre‐checked microdata without direct identifiers are sent to Eurostat, 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) 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.
National level:
Both, press release and publication are announced in advance on INS website. Online database is updated at deadlines specified in National Statistical Programme.
8.2. Release calendar access
Publications catalogue - on INS website:
Press release calendar - on INS website:
8.3. Release policy - user access
EU level:
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 level:
Both, press release and publication are available in electronic format on INS Website. Standard tables are available in the online database. Results are disseminated to all users at the same time.
Anonimized microdata are available for researchers.
First release - is diseminated 75 days after the end of the reference quarter, quarterly data are available in online database 130 days after te end of the reference quarter, yearly publication is diseminated 6 months after the end of the reference year, ad hoc module results are diseminated 10 months after the end of the reference year.
10.1. Dissemination format - News release
Press releases are published regularly - according to press release calendar - Press releases view
10.2. Dissemination format - Publications
Publications on LFS results (published in Romanian and English) contain survey methodology and organisation, analysis (including graphs) and tables with detailed data. It si published according to deadlines in publication catalogue.
LABOUR FORCE IN ROMANIA EMPLOYMENT AND UNEMPLOYMENT 2024 (romanian)
LABOUR FORCE IN ROMANIA EMPLOYMENT AND UNEMPLOYMENT 2024 (english)
10.3. Dissemination format - online database
Predefined tables are available in the online database.
10.3.1. Data tables - consultations
Not requested for the LFS quality report.
10.3.2. Web link to national methodological publication
LFS methodology is available in the online Methodological database:
LFS methodology is available in the online publication Labour force in Romania:
LABOUR FORCE IN ROMANIA EMPLOYMENT AND UNEMPLOYMENT 2024 (english)
10.3.3. Conditions of access to data
Aggregated data available to public, microdata available to researchers.
10.3.4. Accompanying information to data
Questionnaire and survey methodology - available in methodological database on INS website.
Online database are accompanied by methodological explanations.
10.3.5. Further assistance available to users
Further assistance available via email through Data Dissemination Unit.
10.4. Dissemination format - microdata access
Anonymized data files for researchers will be available on request.
10.4.1. Accessibility to EU-LFS national microdata (Y/N)
Y
10.4.2. Who is entitled to the access (researchers, firms, institutions)?
Direct acces to microdata (anonymised confidential data) is only granted for scientific research projects under European and national legislation in the field, through a microdata access contract.
10.4.3. Conditions of access to data
INS grants access to statistical microdata only for scientific research purposes, as follows:
- - through standard contract regarding the access and use of microdata
- - through the Safe Centre located at the NIS headquarter
10.4.4. Accompanying information to data
Questionnaire and survey methodology - available in methodological database on INS website.
Anonimized microdata for researchers are accompanied by database description.
10.4.5. Further assistance available to users
Further assistance available via email through Data Dissemination Unit.
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
Metadata databse on INS site (Metadata Database) and in the publication on LFS results: LABOUR FORCE IN ROMANIA EMPLOYMENT AND UNEMPLOYMENT 2024 (english)
10.7. Quality management - documentation
Quality reports are available on INS website:
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
In Romania, official statistics is under the responsibility of National Institute for Statistics. In order to ensure the objectivity, transparent and scientific, character of the methodologies, indicators and classifications used in statistics, and to ensure that statistical programme cover all user requirements, the National Statistics Council was established.
The representatives of the Council meet quarterly or more frequent when is necessary in working groups by statistical fields. During these meetings National Institute for Statistics is receiving a strong feed-back from the users in terms of the results already disseminated (including the level of details, breakdowns etc.) and the requests for further needed information to be included in next statistical inquiries.
12.2. Relevance - User Satisfaction
Not requested for the LFS quality report.
12.3. Completeness
See bellow
12.3.1. Data completeness - rate
Not requested for the LFS quality report.
12.3.2. NUTS level of detail
See bellow
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
NUTS2
12.3.2.3. Lowest regional level of the results delivered to researchers by NSI
usually NUTS2
13.1. Accuracy - overall
Not requested for the LFS quality report.
13.2. Sampling error
See bellow
13.2.1. Sampling error - indicators
See bellow
13.2.1.1. Coefficient of variation (CV) Annual estimates %
See table 13.2.1.1 in Annex File.
13.2.1.2. Coefficient of variation (CV) Annual estimates at NUTS-2 Level %
See table 13.2.1.2 in 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 in the calculation of the employment rate is in fact the 'known' total of population aged 20-64 used in calibration. Thus, there is no sampling variability.
13.2.1.4. Reference on software used
ReGenesees package in R
R Core Team (2025). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL The R Project for Statistical Computing.
Zardetto D (2015). “ReGenesees: an Advanced R System for Calibration, Estimation and Sampling Error Assessment in Complex Sample Surveys.” Journal of Official Statistics, 31(2), 177 - 203. ReGenesees link.
Zardetto D (2024). “ReGenesees: R Evolved Generalized Software for Sampling Estimates and Errors in Surveys.” R package version 2.4
13.2.1.5. Reference on method of estimation
Taylor-linearization
13.3. Non-sampling error
Not requested for the LFS quality report.
13.3.1. Coverage error
See table 13.3.1 in 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
See table 13.3.1.4 in Annex File.
13.3.2. Measurement error
See below.
13.3.2.1. Errors due to the media (questionnaire)
See table 13.3.2.1 in Annex File.
13.3.2.2. Main methods of reducing measurement errors
See table 13.3.2.2 in 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
See table 13.3.3.1.1 in Annex File.
13.3.3.1.2. Non-response rates. Annual averages (% of the theoretical yearly sample)
See table 13.3.3.1.2 in Annex File.
13.3.3.1.2.1. Non-response rates. Annual averages (% of the theoretical yearly sample) – NUTS-2 level
See table 13.3.3.1.2.1 in Annex File.
13.3.3.1.3. Units who did not participate in the survey
See table 13.3.3.1.3 in Annex File.
13.3.3.2. Item non-response - rate
See bellow
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)
See table 13.3.3.2.1 in 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)
See table 13.3.3.2.2 in Annex File.
13.3.3.2.3. Item non-response for INCGROSS variable
See table 13.3.3.2.3 in Annex File.
13.3.4. Processing error
See bellow
13.3.4.1. Editing and imputation process
See table 13.3.4.1 in Annex File.
13.3.5. Model assumption error
Not requested for the LFS quality report.
14.1. Timeliness
See table 14.1. in 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 bellow
14.2.1. Punctuality - delivery and publication
Not requested for the LFS quality report.
15.1. Comparability - geographical
See bellow
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
See bellow
15.2.1. Length of comparable time series
See bellow
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)
See table 15.2.2 in 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)
See table 15.2.3 in 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 |
NA data uses domestic concept; |
In NA: LFS is the main data source; LFS data are adjusted for domestic concept with administrative data (from Ministry of Labour, Ministry of Internal Affairs, Ministry of External Affairs) with: |
No important effects are imposed by differences; |
Annual National Accounts Brochure |
| Total employment by NACE |
NA data uses domestic concept; |
Adjustments on LFS data by NACE due to reconciliation with other data source, at two digits NACE: |
No important effects are imposed by differences by total, but increased quality of the NA data in terms of distribution by economic activities is achieved because of using more reliable data sources |
Annual National Accounts Brochure |
| Number of hours worked |
NA uses concept of actual working hours, in full and part time jobs in main and secondary jobs |
Total hours-worked from LFS (main and secondary activities) are adjusted with: |
No important differences, but higher then for LFS since all (main and seconday) activities are included |
Annual National Accounts Brochure |
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) |
| Y |
N |
N |
N |
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 |
If an employer also has working contract with his/her own enterprise, he/she will be considered as employee in SBS but as employer in LFS |
SBS data: beside survey data, administrative sources (mainly balance sheets) and other statistical surveys data used as well as methods of estimations are applied |
LFS estimates on employment (in economic activities covered by both statistics, i.e. from B to N sections, excluding K) is higher than SBS estimates (but LFS comprises own-account workers as well) |
No special documentation is produced for both LFS and SBS. |
| Total employment by NACE |
SBS does not comprise budgetary sector (public administration, health, education) and part of services |
Enterprise' main economic activity is considered - in SBS (as against local unit economic activity in LFS) |
UNA |
UNA |
| Number of hours worked |
SBS comprise data on hours worked only by employees. |
Enterprise' main economic activity is considered - in SBS (as against local unit economic activity in 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 differs considerably from ILO unemployment. |
LFS unemployment - survey data; Registered unemployment - registered data |
UNA |
15.3.6. Assessment of the effect of differences of EU-LFS unemployment and registered unemployment
| Give an assessment of the effects of the differences |
|||||
|---|---|---|---|---|---|
| Overall effect |
Men under 25 years |
Men 25 years and over |
Women under 25 years |
Women 25 years and over |
Regional distribution (NUTS-3) |
| ILO unemployment |
75315 |
197131 |
49455 |
129058 |
UNA |
| Registered unemployment |
14241 | 124905 | 10370 | 111832 | UNA |
15.3.7. Comparability and deviation for the INCGROSS variable
See table 15.3.7 in Annex File.
15.4. Coherence - internal
Not requested for the LFS quality report.
The cost of the interviewers for the year 2024 was approximately EUR 1.5 million (gross value).
Average duration of the interview per household was 37 minutes.
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.
See table 16.1 in Annex File.
16.2. Duration of the interview by Final Sampling Unit
See table 16.2 in Annex File.
17.1. Data revision - policy
See bellow
17.1.1. Is the general data revision policy fully compliant with the ESS Code of Practice principles? (in particular see the 8th principle) (Y/N)
Y
17.1.2. Is the country revision policy compliant with the ESS guidelines on revision policy for PEEIs?
Y
17.2. Data revision - practice
Not requested for the LFS quality report.
17.2.1. Data revision - average size
Not requested for the LFS quality report.
18.1. Source data
See bellow
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 sampling plan is a two-stage stratified sample. |
Because of the lack of appropriate registers (dwelling register, population register etc), the household surveys carried out by NSI-Romania are based on the repeated use of a master sample, which involves further the use of multi-stage sampling design. |
After Census 2011 |
The primary sampling unit, corresponding to the selection of the master sample, is a group of census section |
The secondary (ultimate) sampling unit, corresponding to the selection of the survey sample, is the dwelling. |
2023 |
18.1.2. Sampling design & Procedure method
|
18.1.3. Yearly sample size & Sampling rate
See table 18.1.3 in Annex File.
18.1.4. Quarterly sample size & Sampling rate
See table 18.1.4 in 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) |
| Wave approach is not used for yearly nor biannually variables. Only 8-year variables are collected on a subsample that consist of wave 2 in each quarter. |
NA |
NA |
NA |
18.2. Frequency of data collection
Not requested for the LFS quality report.
18.3. Data collection
| Data collection methods: brief description |
Use of dependent interviewing (Y/N)? |
In case of Computer Assisted Methods adoption for data collection, could you please indicate which software is used? |
|---|---|---|
| The data are collected only by face-to-face interviews (CAPI). |
N |
Survey Solutions |
18.3.1. Final sampling unit collected by interviewing technique (%)
See table 18.3.1 in 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
See table 18.3.3 in Annex File.
18.3.4. Description of percentiles and bands used for INCGROSS variable
See table 18.3.4 in Annex File.
18.4. Data validation
A large numbers of checks are inlcuded in the electronic questionnarie, thus part of the validation take place during data collection. After data collection, 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
See table 18.5.1. in Annex File.
18.5.1.1. Editing and imputation process for INCGROSS variable
See table 18.5.1.1. in 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 calculated in three steps. The first step assigns the inverse of the selection probabilities to each sampled dwelling unit. The second step adjusts for non-response, categorising the responding dwelling units by the following characteristics: county (NUTS 3) and urban/rural residency. The third and final steps consists of calibrating the secondary weights to the best latest available population totals by region / urban-rural residency, gender, 14 age groups and the households totals by region, using the ReGenesees package (Zardetto, 2015, 2024) in R (R Core Team, 2025). |
Y |
NA |
Y |
00-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75 and over for all the regions, except Bucuresti-Ilfov,where we used more aggregated age groups (0-19, 20-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75 and over) |
NUTS2 |
Residential area (urban/rural) |
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. |
NA |
NA |
NA |
NA |
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 |
|---|---|---|---|
| N |
NA |
NA |
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.
|
16 June 2025
The variables covered are those specified in Regulation 2019/2240 and Regulation 2022/2312.
The data collection is carried out for a sample of private households; all persons belonging to the selected private households who have their usual residence there are surveyed.
All persons having their usual residence in private households in Romania.
Not requested for the LFS quality report.
Data collection refers to a certain reference week, to which the observation unit has been assigned prior to the fieldwork (fixed week).
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 bellow
First release - is diseminated 75 days after the end of the reference quarter, quarterly data are available in online database 130 days after te end of the reference quarter, yearly publication is diseminated 6 months after the end of the reference year, ad hoc module results are diseminated 10 months after the end of the reference year.
See table 14.1. in Annex File.
See bellow
See bellow
