From here you can send an e-mail to email@example.com, the statistics sector of the Bank of Italy with a request for clarifications regarding the data contained in the statistical database or comments on the BIP on-line procedure. For further information on the Bank of Italy's role in preparing and publishing statistics, please consult the explanatory documents in the Statistics section of the site.
Notice: This is the mobile version of the BDS, with limited functions compared to the complete version for PC. If you are accessing from PC and you have been redirected to this version, it means the Adobe Flash Player plug-in is not enabled in your browser.
The Bank's Statistical Database contains the data to be found in the periodical publications of the Statistics Series, except for some sample survey, plus some historical time series of macroeconomic statistics and the International Monetary Fund's Statistical Data Dissemination Standard indicators.
For the publications, the database contains both the static version in PDF format and a dynamic, navigable version.
The application gives you interactive use of the database with these functions:
VIEW in multidimensional tables, time series or graphs;
FILTER for relevant data;
SEARCH: hierarchical, text, key-search;
EXPORT select data (only .pdf format);
PERSONALIZE screen views and work environment.
The statistics are structured hierarchically (contents), by 'Topics', i.e. by the document in which the data are published (individual issues of the Statistics Series). A selection of the most prominent statistics is under 'Main indicators'
The data are presented in pre-set, multidimensional tables or by time series. You can always generate personalized screen views to suit your own needs. The contents and structure are described in an ample set of metadata, making it easier to understand the statistics and search for the data needed.
2) The model
There are three types of content:
Metadata: qualitative information (codes and descriptions) describing and explaining the quantitative data. Metadata may be for a single table, a series, or a domain.
Documents: for statistics from a publication, you can access the PDF document directly through the inquiry application; the data are accompanied by graphs.
Methodologically, all the data are represented in a multidimensional model, whose elementary structure, called 'Cube' contains all the information needed to represent a subject and is unequivocally identified by a Key shown in the list of contents, corresponding to the last element of each node (see below) or at the top in the Data window. The general structure of the 'Cube' consists of:
the subject (e.g. loans);
the classification variables (e.g., customer's economic activity), specifying characteristics, each of which is associated with a set of admissible values within all those of the domain, called 'Domain in use';
measurement variables (amount, rate, index number, etc.) for the subject (e.g., number of bank branches). In one-measure Cubes, the measure has no specific name, as it is unique. In multi-measure Cubes, each measure carries its own name;
the attributes of the measure (e.g., if it is percentage or an amount expressed in a particular scale).
For multidimensional tables, every Cube usually has these columns:
date of observation;
There are almost always 'classification variables' as well. Time series are characterized by the time dimension only; the set of classification variables (among which is the subject or economic phenomenon) is collapsed in the series identification (the multi-dimensional key).