Data that derive from variegated and autonomous sources of information are object of well-established fields of research that focus on analytical techniques to depict the most various socio-economic phenomena. The main issue, central in the scientific international debate, is the utilisation of the administrative data, as yielded by private organisations/enterprises/companies and public administrations, alongside the official statistics, as yielded by the National Institutes of Statistics. In theory, there is a multitude of information, very detailed and valuable, but its alignment is impeded by many problematic issues that involve the quality and variety of data, the juridical protection of privacy and the magnitude of database allocated in the data science scenario in most of the cases. In few words, the National Institutes of Statistics need flows of data that derive from different data collections for administrative purposes, but the resolution of the involved issues is still part of the scientific debate. In our recent works, we succeeded in aligning administrative data and official statistics referring to the real estate sector, from both administrative and market side, and we produced an algorithm to create the first Full Information Harmonised Real Estate Database (FIHRE-DB) limited to the city of Bari, anticipating the Italian National Institute of Statistics (ISTAT). The great achievement we obtained shows the potentiality of FIHRE-DB to develop many spatial analyses by merging many other information, differently collected, with the census sections as defined by ISTAT. In this work, we show a practical application of that potentiality, and we develop an analysis that involves the household wealth and the distribution of household demographic characteristics based on the real estate market in the city of Bari. The assumptions we made and the outcomes we obtained are a proof of the validity of an analysis that the alignment of information can achieve.

Household economics and demographic characteristics: the case of the real estate market in the city of Bari

Marini, Caterina;Nicolardi, Vittorio
2026-01-01

Abstract

Data that derive from variegated and autonomous sources of information are object of well-established fields of research that focus on analytical techniques to depict the most various socio-economic phenomena. The main issue, central in the scientific international debate, is the utilisation of the administrative data, as yielded by private organisations/enterprises/companies and public administrations, alongside the official statistics, as yielded by the National Institutes of Statistics. In theory, there is a multitude of information, very detailed and valuable, but its alignment is impeded by many problematic issues that involve the quality and variety of data, the juridical protection of privacy and the magnitude of database allocated in the data science scenario in most of the cases. In few words, the National Institutes of Statistics need flows of data that derive from different data collections for administrative purposes, but the resolution of the involved issues is still part of the scientific debate. In our recent works, we succeeded in aligning administrative data and official statistics referring to the real estate sector, from both administrative and market side, and we produced an algorithm to create the first Full Information Harmonised Real Estate Database (FIHRE-DB) limited to the city of Bari, anticipating the Italian National Institute of Statistics (ISTAT). The great achievement we obtained shows the potentiality of FIHRE-DB to develop many spatial analyses by merging many other information, differently collected, with the census sections as defined by ISTAT. In this work, we show a practical application of that potentiality, and we develop an analysis that involves the household wealth and the distribution of household demographic characteristics based on the real estate market in the city of Bari. The assumptions we made and the outcomes we obtained are a proof of the validity of an analysis that the alignment of information can achieve.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/572300
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