The New National Urban Renewal Program

Presentation

Launched in 2014, the new National Urban Renewal Programme (NPNRU) covers 480 priority neighbourhoods: 216 of national interest and 264 of regional interest, where about three million inhabitants live. This programme covers neighborhoods of large metropolises, medium-sized cities, large social housing complexes or buildings in old degraded centres, located in France and overseas.

The National Agency for Urban Renewal (Anru), responsible for the implementation of the NPNRU, now has EUR 10 billion for the financial support of projects presented by local authorities. In total, 40 billion euros will be invested in these 480 neighbourhoods for demolition and reconstruction of social housing, the development of public spaces or the treatment of degraded condominiums.

The list of priority districts benefiting from this programme is annexed to the Order of 29 April 2015 on the list of priority districts of the city policy with the most important urban dysfunctions and targeted as a priority by the new National Urban Renewal Programme and to the Order of 15 January 2019 correcting the list of priority districts of the city policy with the most important urban dysfunctions and referred to as complementary by the new National Urban Renewal Programme.

Data

The dataset contains:
— the list of municipalities covered by the programme
— the list of priority districts registered according to the decrees

Useful links

— Detailed presentation of the programme (Anru)

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Open Data File
If you are using the Microsoft Excel spreadsheet, a particular operation is required to open the data file:
1. Create a new Excel workbook
2. Click on the Data tab in the ribbon and then on From text
3. Choose the location of the csv file and click on Import
4. In the window that opens, choose the option Delimited and in File Origin, choose 65001: Unicode UTF8. Click on Next
5. Select only the Separator Virgul. Click on Next
6. Choose the right column data format by referring to the documentation of the dataset. Click on Finish.