Aspects of daily life – Longitudinal Data (2013-2016)

UniData - Bicocca Data Archive (Università degli Studi di Milano-Bicocca)


Changelog (Archive version):

1.0 - 2019-08-01
* First study creation



Changelog (Source release):

* The longitudinal dataset has been constructed on the basis of the following annual Istat data distributed by UniData - Bicocca Data Archive:
- Istat. (2016) Multiscopo ISTAT – Aspects of daily life. UniData - Bicocca Data Archive, Milan. Study Number SN190. Data file version 1.0
- Istat. (2015) Multiscopo ISTAT – Aspects of daily life. UniData - Bicocca Data Archive, Milan. Study Number SN167. Data file version 1.0
- ISTAT. (2014) Multiscopo ISTAT – Aspects of Daily Life. UniData - Bicocca Data Archive, Milan. Study Number SN147. Data file version 2.0
- ISTAT. (2013) Multiscopo ISTAT – Aspects of Daily Life. UniData - Bicocca Data Archive, Milan. Study Number SN130. Data file version 2.1


restricted access

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 (trend repeated cross-section)

Series Name:
AVQ - Aspects of Daily Life

Methodological Notes:
Methodological Notes
other documentation

The survey “Aspects of Daily Life” is carried out by ISTAT and it is aimed to collect key information about the daily life of individuals and households on an annual basis. This information are focused on the habits, opinions, and attitudes of citizens regarding the main issues related to their social and family life. The sample interviewed annually is about 20,000 families, for a total of about 50,000 individuals.

Given the wealth of information collected through the survey, UniData – Bicocca Data Archive has created a longitudinal dataset able to support transversal analysis across the years. The aim is to provide directly accessible information on change concerning the habits and the main aspects that characterize the daily life of Italians. Therefore, the longitudinal dataset represents a very important resource for the development of a diachronic approach to the study of Italian society.


This dataset, in particular, includes information relating to the 2013-2016 period. The original data provided by Istat have been suitably selected and harmonized in order to create a longitudinal database that, on an annual basis, would allow a comparison over time.

The dataset contains information relating to a total of 153,813 individuals, collected in 582 variables. The information has been organised in the following thematic sections:

  • Socio-demographic
  • Education and training
  • Working time
  • Area of residence
  • Housing
  • Possession of goods
  • Media
  • Internet
  • Insurance
  • Use of services
  • Health
  • Food consumption
  • Sport
  • Mobility
  • Environment
  • Cultural consumption
  • Participation
  • Social relations
  • Trust
  • Satisfaction


For more information on the construction of the longitudinal dataset, the data harmonisation process and other methodological issues, please refer to the attached documents.

Keywords: , , , , , , , , , , , , ,

Share on Facebook Share on Google+ Share on Twitter

Topic Classification:

  • ECONOMICS - consumption/consumer behaviour
  • EDUCATION - life-long/continuing education
  • HEALTH - accidents and injuries
  • HEALTH - drug abuse, alcohol and smoking
  • HEALTH - general health
  • HEALTH - health care and medical treatment
  • HEALTH - nutrition
  • HEALTH - physical fitness and exercise
  • HEALTH - specific diseases and medical conditions
  • INFORMATION AND COMMUNICATION - information society
  • LABOUR AND EMPLOYMENT - working conditions
  • NATURAL ENVIRONMENT - environmental degradation/pollution and protection
  • NATURAL ENVIRONMENT - natural resources and energy
  • SCIENCE AND TECHNOLOGY - information technology
  • SOCIAL STRATIFICATION AND GROUPINGS - family life and marriage
  • SOCIAL STRATIFICATION AND GROUPINGS - social and occupational mobility
  • SOCIETY AND CULTURE - cultural activities and participation
  • SOCIETY AND CULTURE - leisure, tourism and sport
  • SOCIETY AND CULTURE - religion and values
  • SOCIETY AND CULTURE - social behaviour and attitudes
  • SOCIETY AND CULTURE - social change
  • Nations: Italy

    Geographical Unit: region

    Analysis Unit: individual, family

    Universe: residents in Italy

    Sample Procedure: 64,886 families; 153,813 individuals. Two-stage stratified random sample.

    Weight: Weight used. Please read the documentation for any details

    Collection Mode: face to face interview, self-administered questionnaire

    Collection Size: UniData supplies: 1 dataset in SPSS format; 1 methodological notes in PDF format (ita); 1 codebook in PDF format (ita); 1 ZIP file including the documentation (ita) from the source (annual questionnaires, methological aspects, etc.) (4 file)


    Codebook (pdf):
    Documentation (zip):
    DDI Documentation:
    DDI Documentation

    Data Use Restriction:
    Data are available only for UniData's members. Data are released for research purposes only, and the redistribution to the third party - even in partial form - of data is not allowed. For all other users an expenses reimbursement is required. Please, contact UniData's archive directly for more information.
    Source Contact: UniData - Bicocca Data Archive

    UniData - Bicocca Data Archive; Istat. (2013-2016) Aspects of daily life – Longitudinal Data. UniData - Bicocca Data Archive, Milan. Study Number SN206. Data file version 1.0 doi:10.20366/unimib/unidata/SN206-1.0

    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.

    Neither the depositor nor UniData bear any responsibility for the analysis or interpretation of the data produced by the user.