The “Data Portraits” have been enhanced with twenty or so new indicators, additional trend analyses and new infographics.
Constructed around key indicators, and both simple and customisable graphics and maps, this tool makes it possible to visualise the dynamics in Grand Paris on different scales and to compare several communes, departments and territories. It is based on almost a hundred indicators taken from thirty different statistical sources and cover a variety of themes: Demography-Society, Housing-Habitat, Economy - Employment - Precarity and Living Environment.
This application is made up of two complementary interfaces.
The “data” interface gives access to a selection of indicators on the communal, district, territorial and departmental scale. The results can be compared on a larger geographical scale (territorial/departmental/metropolitan) and the trends analysed. For a more personalised analysis, this range of “data” provides a dynamic data display as well as a “customised” radar enabling users to compare a selection of key figures of their choice on different scales. Infographics are also proposed for each geographical level: age pyramids, rate of evolution of the unoccupied housing stock, the location of households according to their type of heating, the number of facilities or shops per 1,000 inhabitants, etc. These can be exported and printed. Finally, a summary sheet, including a hundred or so indicators can be downloaded and printed for each municipal commune/district, department or territory.
The “Maps” interface gives access to a cartographic representation of the tool’s data in three representational modes (in terms of numbers, rates and trends), enabling the fine-tuning of available information. Three scales of analysis are available, ranging from that of the 131 communes and 17 Parisian districts, to the 12 territories which form the Grand Paris Metropolis, as well as the more fine-scaled maps, which make it possible to observe the dynamics within neighbourhoods.
Among the indicators incorporated into this new version one can find for example: the number of people who moved into a commune/ territory the previous year, the SRU housing rate, the number of in-person and productive jobs, the type of heating in homes, the surface area of vegetation and an index of access to local shops.