Fine distribution of population by department (2018)

Description

Each dataset consists of three classes of entities: * the refined distribution of the population to the plot (polygons) * the refined distribution of the population to the built (polygons) * the refined distribution of the population to the centroid of the structure (punctual) The treatment is carried out from several data sources: * the IRIS GE INSEE population — 2018 (Latest year, production is n-3 compared to the current year) * CEREMA land files — 2021 (the vintage of the Cerema land files of year n is based on the MAJIC of year n and the MAJIC data of this vintage returns the data from year n) * the BDTopo IGN — 2021 * the Parcellaire Express IGN — 2021 ***We we worked with the most recent vintage on the population (2018) which does not match the IGN and Cerema data vintage (2021). It should therefore be borne in mind that this data does not show the actual distribution in 2018 but a potential distribution on the plots and buildings of the year 2020 (FF n-1).*** The sub-communal population is distributed in proportion to the living area of the plots. It is then ventilated on the significant buildings of each plot. The entire processing is described in the methodology that accompanies the data.OPenIG, the co-producer of the data, participated in the specifications, the industrialisation of the processing chain and the dissemination of the classes of entities. ** Warning** The operations that may be made of this data will be the sole responsibility of the user. It does not in any way provide the actual, exact or legal distribution of the population at the level of the building or parcel. Thus, use on this scale makes no sense (e.g. distribution of the population on the buildings of the same plot) as well as possible calculations of evolution between two dates. **Authors:** Montpellier Méditerranée Métropole, City of Montpellier, OPenIG ** Covered territory:** The data is delivered on a department-wide basis. To have the data on your department in the Occitanie region, do not hesitate to request it: webmestre@openig.org

Resources

Name Format Description Link
57 https://www.data.gouv.fr/api/1/datasets/r/09317eb2-0c60-439c-9268-3abf2b54e021
57 https://www.data.gouv.fr/api/1/datasets/r/d7d5c70d-0863-48bb-a0c3-631a6ae86f00
57 https://www.data.gouv.fr/api/1/datasets/r/5c68f775-fba1-46ad-8374-fa55a05c4ffd
57 https://www.data.gouv.fr/api/1/datasets/r/ac42a549-05d7-401e-9819-efa9c3bfc4b2
57 https://www.data.gouv.fr/api/1/datasets/r/929d6c8a-7c11-4f37-ac9f-eb8db0b51580
57 https://www.data.gouv.fr/api/1/datasets/r/ba6df09f-fcfa-435d-ad55-acb87c5aac08
57 https://www.data.gouv.fr/api/1/datasets/r/a4d50854-eee1-4509-ac5b-067c30cd022f
57 https://www.data.gouv.fr/api/1/datasets/r/a60d5e40-dc59-4a00-bdad-c8d858add7a6
57 https://www.data.gouv.fr/api/1/datasets/r/f9d670b4-fc34-4e67-9010-799e1949bc0c
57 https://www.data.gouv.fr/api/1/datasets/r/fb4a1dea-e744-4ac1-83e2-291ee91baa63
57 https://www.data.gouv.fr/api/1/datasets/r/f32a0726-0af5-4454-a78e-db2db334f2c4
57 https://www.data.gouv.fr/api/1/datasets/r/d36a572a-6fe6-47ac-9329-c6b4286dcb4a
57 https://www.data.gouv.fr/api/1/datasets/r/45a3ef84-4927-4875-b9cf-21f95f766242

Tags

  • population
  • insee
  • demographie

Topics

Categories