Description
Presentation
The objective of the programme is to mobilise and structure all actors in the educational community (State, local authorities, parents, associations, extracurricular workers, social workers, schools and colleges...) around shared educational issues to consolidate the care of children and young people in priority urban policy areas, from early childhood to their professional integration, at all times and in all living areas.
Educational Cities are located in large neighbourhoods of social housing, with major urban dysfunctions and school mix issues.
Data
The dataset contains:
— the list of educational cities
| Name | Description |
|---|---|
| id_cite | ID of the Educational City |
| lib_cite | Text of the Educational City |
— the list of municipalities covered by the programme
| Name | Description |
|---|---|
| insee_com | code insee de la commune |
| lib_com | town label |
| id_cite | ID of the Educational City |
| lib_cite | Text of the Educational City |
— the list of priority areas covered by the programme
| Name | Description |
|---|---|
| yearnee | year of initiation of the device in the territory |
| id_cite | ID of the Educational City |
| quote_sister | Sister Educational City |
| lib_cite | language of the Educational City |
| qp_intercom | intercommunal priority neighbourhood |
| com_cite | membership of the commune of qp in the perimeter of the educational city |
Useful Links
— crossing with other ANCT devices (data.gouv)
— detailed presentation of the programme (ANCT)
—
Opening the 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 located in the ribbon and then click from the text_
_3. Choose the location of the csv file and click Importer_
_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 Virgule. Click on Next_
_6. Choose the right column data format by referring to the dataset documentation. Click Finish**.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| List of municipalities covered (COG 2021) --obsolete— | CSV | Open resource | |
| List of municipalities covered (COG 2023) | CSV | Open resource | |
| List of educational cities | CSV | Open resource | |
| Data Metadata Educational Cities | Open resource | ||
| Perimeter monitoring (COG 2023) | CSV | Open resource | |
| Perimeter monitoring (COG 2021) --obsolete— | CSV | Open resource |