EPCI 76 2022

Description

This file, established by the National Institute of Geographical and Forest Information (IGN-F) in September 2020, provides the list and scope of EPCIs with own taxation (i.e. inter-communalities, see glossary in metadata) of the Seine-Maritime Department, as well as their INSEE code and their type (urban community, agglomeration community, community of municipalities).

Metadata

Link to metadata

Additional resources

The national database on intercommunality offers various data, downloadable in xls or pdf format:
common members, date of creation, skills, financial profile, contact, population, density, etc.
* INSEE local statistical site:
https://statistiques-locales.insee.fr/#c=report&chapter=evolpop&report=r02&selgeo1=epci.200023414&selgeo2=fe.1

This site allows the consultation and download of the main statistics of INSEE at the level of intercommunality.

This site offers links to certain financial data of intercommunalities (individual accounts, balance and accounting aggregates, etc.)

This IGN website offers various visualisations of data (in particular INSEE:
share of poor households, share of under-18s, single-parent families, etc. at the level of carking, i.e. rectangles of varying size, aggregated from 200 m side tiles, always counting a minimum of 11 tax households.However, it is possible to overlay the perimeters of the intercommunalities, which allows to have an idea of the internal variations of each EPCI, depending on the indicators chosen.

Metadata

Link to metadata

Additional resources

The national database on intercommunality offers various data, downloadable in xls or pdf format:
common members, date of creation, skills, financial profile, contact, population, density, etc.

This site allows the consultation and download of the main statistics of INSEE at the level of intercommunality.

This site offers links to certain financial data of intercommunalities (individual accounts, balance and accounting aggregates, etc.)

This IGN website offers various visualisations of data (in particular INSEE:
share of poor households, share of under-18s, single-parent families, etc. at the level of carking, i.e. rectangles of varying size, aggregated from 200 m side tiles, always counting a minimum of 11 tax households.
However, it is possible to overlay the perimeters of the intercommunalities, which allows to have an idea of the internal variations of each EPCI, depending on the indicators chosen.

Resources

Name Format Description Link
CSV CSV Open resource
ArcGIS GeoService ArcGIS GeoServices REST API Open resource
KML KML Open resource
GeoJSON GeoJSON Open resource
ArcGIS Hub Dataset Unknown Open resource
Shapefile ZIP Open resource
Unknown Resource Unknown Open resource
Shapefile ZIP Open resource
CSV CSV Open resource
KML KML Open resource
GeoJSON GeoJSON Open resource

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