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RFL - Labour Force Survey
The Italian Labour Force Survey is the main source of statistical information on the Italian labor market. The information gathered from the population constitutes the basis on which official estimations of employment and unemployment are calculated, as well as information on the main job’s issues – occupation, sector of economic activity, hours worked, contracts’ type and duration, training.
The survey data are used to analyze a number of individual, family and social factors too, such as the increasing labor mobility, changing professions, the growth in female participation, etc.., which determine the difference in labor participation of the population.
Starting from the first quarter of 2021, the indications of European Regulation 1700/2019 have been transposed, which concern in particular the changes in the definitions of family and employee, and a new questionnaire has been adopted (see notes).
This database is the result of the union of the four quarterly datasets for the year 2022. In this way, it is possible to calculate the annual estimations at the national, macro-regional and regional levels.
The documentation available on this page refers to the survey conducted in the last quarter.
For more information, please refer to the pages of the individual quarterly surveys of 2022:
Italian Labour Force Survey – January (2022)
Italian Labour Force Survey – April (2022)
Italian Labour Force Survey – July (2022)
Italian Labour Force Survey – October (2022)
Data are available for free in CSV format (registration required). After logging in, please click on the green button in the box at the right.
In order to optimize the time of use of the dataset, UniData offers a service of conversion in the statistical software format (SPSS, Stata, R or SAS). For detailed information visit the Services for Istat Data page.
For members, instead, data are available in the main formats used by the software for the statistical analysis.
Keywords: labour, employment, unemployment
Geographical Unit: region
Analysis Unit: individual, family
Universe: residents in Italy
Sample Procedure: 61,845 households, 511,795 individuals. Two-stage stratified random sample
Weight: Weight used. Please read the documentation for any details
Collection Mode: Computer-Assisted Telephone Interviewing (CATI), Computer-Assisted Personal Interviewing (CAPI)
Collection Size: UniData supplies: 1 dataset in SPSS (members only) or CSV (other users) format; 1 questionnaire in PDF format (last quarter - ita); 1 methodological notes in PDF format (last quarter - ita); 1 codebook in PDF format (ita); 1 PDF file with UniData's archive notes (ita); 1 ZIP file including the documentation from the source (codes for ATECO2007, CP2011, ISCED2011, ISCO08 classifications, sampling error estimations at the national, macro-regional and regional levels) (ita) (6 file)
|Methodological Notes (pdf):||Codebook (pdf):||Data Archive Notes (pdf):||Documentation (zip):|
Data Use Restriction:
ISTAT data are released in according to Creative Commons – Attribution 3.0 Licence, available here. The redistribution to the third party, even in partial form, of data available to UniData members only is not allowed.
Source Contact: Contact Centre
Istat. (2022) Italian Labour Force Survey – Annual file. UniData - Bicocca Data Archive, Milan. Study Number SN242. Data file version 1.0
The user is obliged to quote all data and documents disseminated by UniData and used in the own publications, using the information previously showed. The user is also obliged to send UniData the bibliographic citations related to the publications where the requested data and documents are used.
Neither the depositor nor UniData bear any responsibility for the analysis or interpretation of the data produced by the user.
From the first quarter of 2021, the new European Regulation also requires that the survey provide the gross remuneration instead of net remuneration. The variable regarding the remuneration will be released through a specific update file.
For details of the changes introduced starting from the first quarter of 2021, see the Methodological Notes and Labour Force 2021: what’s new in the survey