Version:2.0
Release:2.0
Availability:available
UniData provides two kind of data access:
- open data
(all users can use the data - an expense allowance could be required) - restricted data
(the data use is limited - see below)
Data Kind:
individual data
Time Dimensions:
longitudinal (panel)
Series Name:
RFL - Labour Force Survey
other documentation
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.
This database is the result of the union of the four quarterly datasets for the year 2015. 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 2015:
- Italian Labour Force Survey – January (2015)
- Italian Labour Force Survey – April (2015)
- Italian Labour Force Survey – July (2015)
- Italian Labour Force Survey – October (2015)
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: employment, labour, unemployment
Topic Classification:
Nations: Italy
Geographical Unit: metropolitan municipality
Analysis Unit: individual, family
Universe: whole national population
Sample Procedure: 64.818 families, 400.747 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 and the list of Italian municipalities updated to 01/07/2015, sampling error estimations at the national, macro-regional and regional levels) (6 file)
Documentation:
Methodological Notes (pdf): | Codebook (pdf): | Data Archive Notes (pdf): | Documentation (zip): |
DDI Documentation: |
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
Citation:
ISTAT. (2015) Italian Labour Force Survey – Annual file. UniData - Bicocca Data Archive, Milan. Study Number SN148. Data file version 2.0
Deposit Requirement:
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.
Disclaimer:
Neither the depositor nor UniData bear any responsibility for the analysis or interpretation of the data produced by the user.