Comparing Residential Segregation of Migrant Populations in Selected European Urban and Metropolitan Areas

Residential segregation is a well studied subject especially after the publication of the pioneering and seminal contribution of Duncan and Duncan (Am Sociol Rev 41:210–217, 1955). Considering the theoretical and methodological advances made since then, the contribution endeavours in describing and understanding the diferences in residential segregation in an international perspective using 2011 population census data. The contribution analyses the residential segregation of migrants (here foreign citizens or foreign born) usually resident in the 493 Functional Urban Areas (FUAs) of selected European Union countries. The analysis is conducted using 2011 census data on regular grid (100 mt×100 mt) provided by the Data Challenge on ‘Integration of Migrants in Cities’ (D4I) and refers to all migrants and to two sub groups (EU 28 and non EU 28). In a frst step the levels and spatial patterns of residential segregation across all FUAs of France, Germany, Ireland, Italy, Portugal, Spain, The Netherlands and the United Kingdom are analysed. Particular attention is paid to identifying diferences and similarities between the FUAs, among and within the single countries. In a further analysis the relationship between the level of residential segregation in the metropolitan FUAs of the selected EU countries and contextual demographic and socio-economic factors are investigated. Results indicate that, even if, the larger metropolitan areas attract more migrants, the highest levels of residential segregation are observed in smaller urban areas. Moreover important national peculiarities emerge clearly with countries of northwestern Europe recording lower levels of residential segregation compared to the Southern European countries. Finally, residential segregation shows clear relationships with some contextual factors, especially the ones related to economic well-being and the labour market in a positive manner

The integration of geographic and territorial data sources into the base register of territorial and geographical entities

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Detecting Foreigners’ Spatial Residential Patterns in Urban Contexts: Two Tales from Italy

The paper presents an original application of the Gini’s centre of population (MC) and its Standard Deviational Ellipse (SDE) in the field of spatial distribution of foreigners. The proposed measures have been applied to the top five foreign communities (and Italians) counted in 2011 Italian demographic census in the municipality of Rome and Naples. The results show that, compared to Italians, in both municipalities the communities coming from Asia show spatial distributions characterized by quite clear residential patterns: a tendency to have high levels of spatial concentration and the centre of gravity (or mean centre) located at comparatively high distances from the one of the Italians. On the contrary, the communities coming from Central and Eastern Europe present a spatial residential pattern characterized by a quite high level of spatial dispersion and a centre of gravity very close to the one of the Italians. In an intermediate situation between these two spatial patterns there are the Peruvians. Some explanatory hypotheses are advanced. The Gini’s centre of population and its Standard Deviational Ellipse seem capable to synthesize the spatial distribution of foreign population and to detect their residential patterns

La Cartografia ISTAT come supporto per le emergenze territoriali

Official ISTAT Cartography and its related data, updated in advance of each census survey, not only represent the base for statistical description of the entire Italian territory but can be used as an useful help in emergency situation too. Their partition into residential and production areas and enumeration areas, in fact, allows to realize thematic maps, through very simple GIS algorithm, very useful overall during the early stages of the emergency. Buildings and houses ISTAT database can further provide some specific information about buildings and houses state (Census 2011 data)