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The Survey on Household Income and Wealth (SHIW) is conducted every two years by the Bank of Italy on a sample of about 8,000 households and 24,000 individuals. In 2012 8,151 households have made up the sample from 371 municipalities, composed by 20,022 individuals of whom 12,986 earners. The households interviewed for the first time in this survey were 3,540 and the other 4,611 were panel households.
The questionnaire consists of several thematic sections, which are further articulated within, and it is structured in such a way to ensure comparability with the information collected in the previous surveys:
- Family structure: sociodemographic characteristics of family members
- Employment and incomes: salary, work characteristics, sector of professional activities for each member
- Payment instruments and forms of saving: relations with financial institutions, use of payment instruments, savings and investments, expectations toward the future
- Principal residence, other property and debts: characteristics of property owned, mortgage loans, rents, property expenditures, other debts not in connection with business activity
- Household expenditures: purchase and sales of goods, average monthly spending on all consumption (food and non-food), perception of the expenditures compared to the past and the future, savings propensity
- Supplementary pension plans and insurance policies: characteristics of supplementary pension plans owned, life insurance, health insurance, household insurance
The questionnaire has also a in-depth focus (annexes) for each professional condition (payroll employees, self-employed worker, family business, working shareholder/partner, pensions and other income sources) and loans (loans for main residence, for other properties than principal residence, for consumer credit, for business purposes).
For each section and annex of the questionnaire is released a single file. The Bank of Italy has constructed a set of addictional files concerning to the household and individual incomes, household expenditure and savings, household wealth and about individuals that left the panel household.
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 members, instead, data are available in the main formats used by the software for the statistical analysis.
Geographical Unit: size community
Analysis Unit: individual, family
Universe: whole national population
Sample Procedure: about 8.150 families and 20.000 individuals. Two-stage stratified random sample
Weight: Weight used. Please read the documentation for any details
Collection Mode: Computer-Assisted Personal Interviewing (CAPI)
Collection Size: UniData supplies: 27 dataset in SPSS (members only) or ASCII (other users) format; 2 questionnaires in PDF format (ita, eng); 2 methodological notes in PDF format (ita, eng) (31 file)
|Methodological Notes (pdf):|
Data Use Restriction:
Banca d'Italia data are released for research purposes only. The redistribution to the third party, even in partial form, of data available to UniData members only is not allowed. User agrees to quote the data source in all publications using the information showed later, and to send the complete reference of his/her research work based on the data to email@example.com.
Source Contact: Banca d'Italia - Servizio Analisi Statistiche, Divisione Indagini Campionarie
Banca d'Italia. (2012) Survey on Household Income and Wealth. UniData - Bicocca Data Archive, Milan. Study Number SN139. 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.