(Adnkronos) - “Treviso ci ha riservato un'accoglienza molto buona e una grande ospitalità, che emerge anche attraverso le persone che partecipano a questi nostri eventi che appartengo alla città e al territorio, è uno dei motivi per cui siamo qui da molto tempo. Al contempo, il secondo motivo è legato al primo presidente e fondatore di Istituto Nazionale di Statistica, Corrado Gini, originario di Motta di Livenza, paese vicino a Treviso, che ha una grandissima statura da un punto di vista scientifico, professionale, metodologico, dovuta soprattutto all’introduzione dell’indice di disuguaglianza di Gini, conosciuto in tutto il mondo”. Lo ha detto Francesco Maria Chelli, presidente Istat, a margine della decima edizione di StatisticAll, il Festival della Statistica e della Demografia. Una quattro giorni intensa e ricca di appuntamenti sul tema “Statistiche senza frontiere. Fiducia, etica, sistema: il futuro dei dati in Europa”, in svolgimento a Treviso.
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00:00TREVISO HAS RESERVED US A VERY GOOD WELCOME, A GREAT HOSPITALITY.
00:10Let's say, the hospitality is also seen by the people who come, who participate in our events,
00:18which are many, they are from the city and the territory.
00:22Therefore, I believe that this is one of the reasons why we have been here for a long time.
00:27The second reason is, of course, linked to the first president and founder of the National Statistical Institute,
00:34Corrado Gini, who is from a nearby town called Motta di Livenza,
00:39and who obviously has a great stature both from a scientific, professional and methodological point of view,
00:50due above all to his introduction of this inequality index, which is known and measured all over the world.
00:58The most famous inequality index in the world is that of Gini, everyone studies it.
01:03Speaking of inequality, today's data on poverty tell us that the Northeast is unfortunately also rich in poor people.
01:13Yes, this is one of the evidences of today's data.
01:18Yes, it is an evidence.
01:20You have to understand well, in phenomena, when we use the average values,
01:28it is great to make a comparison between a distribution and another,
01:33the Northeast, the Northwest, the Center, the South, the islands, etc.
01:36Very well, but then you have to go and see inside the data,
01:39because if the data tells us, let's put the 9%,
01:42you have to go and see what the determinants of this 9% are,
01:46you have to go and see where it grows,
01:48for example, if you look inside the data, you can see that the numerous families,
01:54the families with foreigners, the families with people of reference in search of employment,
02:00the families with single parents,
02:03are all families where the poverty rate is certainly higher.
02:10Now, we have to say, perhaps in this territory, that there is also a phenomenon of polarization,
02:16so we should look at the income, and if the income average remains more or less,
02:21but it is likely that there is a phenomenon of polarization,
02:25which means that in the presence of a greater weight of underprivileged people,
02:32but there is also a larger percentage of people who have a lot, let's say,
02:37this polarization means that the rates of income distribution grow,
02:42the rich grow and the poor grow,
02:45this could be one of the keys to explaining this phenomenon that grows a little.