Version:1.0
Release:2023-02-08
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 (trend repeated cross-section)
Series Name:
AVQ - Aspects of Daily Life
The survey Aspects of Daily Life, which is part of an integrated system of social surveys – Multiscopo ISTAT – reveals the basic information relating to the daily lives of individuals and families. Since 1993, the survey is conducted annually and the information gathered provides insight into the habits of citizens and the problems they face every day.
The main topics of the survey are:
• eating habits and alcohol consumption
• smoking habits (electronic cigarettes too)
• health conditions
• mass-media use
• libraries use
• cultural consumption (cinema, theatre, books)
• PC and Internet use, IT skills
• Fake news, security and privacy on the Internet
• purchase of goods and services online
• cell phone/smartphone use
• religious, political, and social participation
• use of public services and public utility services and degree of satisfaction
• use of health services and degree of satisfaction
• means of transportation
• environmental issues
• safety
• general satisfaction, trust in people and institutions
• education and training
• Covid-19 and online teaching
• daily commuting
• leisure time
• domestic accidents
• physical activity and sports
• relationship with friends, family and neighbourhood
• working conditions
• electricity and gas consumption
• characteristics of the house and the area
• private services to households
• accessibility to the area services
• possession of home appliances and means of transport
• possession of books and of IT equipment, Internet connection
• household economic situation
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: consumptions, Covid-19, education, environment, family, health, house, internet, leisure time, media, nutrition, participation, security, services, technology, transports
Topic Classification:
Nations: Italy
Geographical Unit: region
Analysis Unit: individual, family
Universe: residents in Italy
Sample Procedure: 19,827 families; 45,597 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, web-based self-administered questionnaire (CAWI)
Collection Size: UniData supplies: 1 dataset in SPSS format (available to members only) o CSV (for other users); 1 PDF format file of questionnaire (ita); 1 PDF format file of methodological notes (ita); 1 PDF format file of codebook (ita) (4 file)
Documentation:
| Methodological Notes (pdf): |
| Codebook (pdf): |
|
| 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. (2021) Aspects of daily life. UniData - Bicocca Data Archive, Milan. Study Number SN240. Data file version 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.
Disclaimer:
Neither the depositor nor UniData bear any responsibility for the analysis or interpretation of the data produced by the user.