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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 population.
The questionnaire is divided into several sections. In particular, in addition to the first socio-demographic information, the first section covers the employment status during the interview’s week, dealing with questions about the type of work, hours worked, motivations about the unemployment status, the type of contract.
The second section – reserved for employed people – covers the main job, investigating in particular the position in the profession, the industry in which he works, the company he works for, working full-time or part-time and reasons for his selection, working hours, overtime hours, shift work, job transfer, salary, job satisfaction.
The third section – always reserved for employed people – concerns the secondary work (if any). It’s exclusively addressed to respondents who carry out another activity compared to the main one and only detects certain information such as: type of activity, type of contract, occupation, economic sector he works in.
The fourth section – for unemployed people – collects information about previous work experiences: last work, type of contract, occupation, economic sector, the reasons why it stopped working.
The fifth section deals with the job search. It investigates the reason for seeking a job, the actions put in place to look for it, the channels used to look for and the type of work sought.
The sixth section deals with employment and temp agencies and investigates their use by the respondents: number of contacts, reason for contact, services required.
The seventh section covers education and vocational education. It deals with the training courses respondents are attending.
The last section focuses on the auto-perception of their employment status, compared to the previous year.
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.
Geographical Unit: metropolitan municipality
Analysis Unit: individual, family
Universe: whole national population
Sample Procedure: 43,732 families, 96,582 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 (ita); 1 methodological notes in PDF format (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) (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. (2016) Italian Labour Force Survey – July. UniData - Bicocca Data Archive, Milan. Study Number SN173. 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.