This file, from INSEE’s “full files” database, presents communal data for 86 housing indicators. Since 2004, the census has been based on an annual collection of information, covering successively all municipalities with less than 10000 inhabitants and 40 % of dwellings in municipalities with more than 10000 inhabitants over a five-year period. Each year, census results are produced from the five most recent annual surveys, abandoning information from the oldest survey and taking into account the new survey. Some indicators are subject to statistical confidentiality (indicated “s”) to ensure the confidentiality of the data. They are therefore not distributed to all municipalities. The list of variables is proposed in the metadata.Presented by municipality, they relate in particular to the inhabitants of the dwelling (number, seniority of occupation, possession of a car), the number and characteristics of housing (house/apartment, private/social, number of rooms, date of construction, comfort), vacancy, etc. Metadata Link to metadata Additional resources * Local statistical site INSEE: This INSEE website allows a cartographic visualisation of a large number of data and indicators, including those proposed on this page. It allows the comparison between the territories (communes, EPCI, etc.) and the download of the selected data. * Site data.gouv.fr: This open and community platform, moderated by the Digital Interministerial Directorate (DINUM), aims to centralise and structure open data in France. Among the many datasets it proposes is the directory of rental housing of social landlords, a very rich source of information on social housing. An extraction of this data on the territory of the Seine-Maritime is also proposed on this site.

Situation 2019
Number of vacant housing since 1962

Consult metadata

The database “Housings, Individuals, Activity, School and Work Mobility, Residential Migration in 2019 Census of Population – Detail File” contains detailed data from the Census of Population in France in 2019. It is intended for professional users for in-depth analysis and behavior modelling. The data is anonymised to protect privacy, and it is presented in the production geography as of January 1, 2021. This database brings together the New Aquitaine regions (region 75) and Occitanie (region 76); Zone E: Regions Auvergne-Rhônes-Alpes (region 84), Provence-Alpes-Côte d’Azur (region 93), Corsica (region 94), Guadeloupe (region 01), Martinique (region 02), French Guiana (region 03) and Réunion (region 04).

[Situation 2017] The occupation status defines the legal situations of households regarding the occupation of their main residence. There are four main statuses: - the status of owner applies to households that are owners, co-owners and those accessing property, - the status of tenant, sub-tenant applies to households paying rent regardless of the type of housing they have 'they occupy, - the status of free accommodation applies to households who do not own their accommodation and who do not pay rent - the status of farmer-sharecropper applies to farmers whose accommodation is part of the lease farm or sharecropping contract.

Consult metadata

[Situation 2017] Number of vacant dwellings from 1962 to 2017.

Consult the metadata

Share of second homes (including casual housing) in the total number of dwellings in 2018, as a percentage per municipality. This is a reprocessing (addition of geolocation) of INSEE data. Metadata Link to metadata Additional resources * Local statistics INSEE: https://statistiques-locales.insee.fr This website of the National Institute of Statistics and Economic Studies offers access to its data by territory. Many indicators are accessible at various scales (commune, EPCI, Department but also employment area, priority district of city policy, etc.) and can be compared with other scales (whole France, Region, Department, etc.). Selections can be downloaded.This site also makes it possible to draw up reports by territory, to add its own data, etc. * INSEE website: https://www.insee.fr/fr/statistiques/5416748 This issue of INSEE Première dated August 2021 evokes the profile of second home owners in France. The analysis document can be downloaded in pdf format as well as the data on which INSEE is based, available in xlsx format. * INSEE website: https://www.insee.fr/fr/statistiques/4989506 This issue of INSEE Analyses Normandie dated December 2020 addresses the issue of the risks of marine submersion in Normandy and discusses the secondary residences potentially concerned. * INSEE website: https://www.insee.fr/fr/information/2018628 This synthesis of data relating to Normandy, compiled by INSEE, provides figures in terms of population, households, housing, diplomas and schooling, employment and active population, tourism, establishments, income and wages. In particular, it provides the share of second homes by Department Normand.

Data from the 2015 general population census - INSEE (detailed housing database)

the housing base in France at IRIS level, of the INSEE 2013 census

this map presents the main characteristics of the Martinique housing stock based on INSEE 2007 Census data.

Data are available in the municipality and the district (IRIS district). C_Loting_Parc_quartier_IRIS_Labels C_Parc_de_logts_Commune_Tickets C_Parc_de_logts_Commune_Classes_Tx_de_logts_vacants_2007 C_Loting_Parc_quartier_IRIS_Classes_Part_of_vacant_logs

INSEE figures for the municipality of Saint-Malo, detailing:

• Year (from 1968 to 1999, counts in the framework of "five-year" censuses. From 2006, continuous census method)
• Number of dwellings
• of which Principal Residences
• including Secondary residences (housing used for weekends, leisure or holidays. Furnished rentals for tourist stays are also classified as second homes)
• of which Vacant dwellings (housing offered for sale or rent, pending succession settlement, unoccupied official dwellings)

Number of dwellings in the Pays de la Loire Region by category (main residence, second home and occasional housing, vacant housing) by municipality in 2019. Municipal geography as of 1 January 2022. Definitions and fact sheets: * ‘HTTPS://WWW.INSEE.FR/FR/INFORMATION/2383177’ The population census makes it possible to know the diversity and evolution of the population of France. INSEE thus provides statistics on inhabitants and dwellings, their number and characteristics:distribution by sex and age, occupations, housing conditions, modes of transport, commuting, etc. Staff over 500 can normally be used with confidence. Staff below 200 should be handled with caution, as due to the inaccuracy associated with the survey, they may not be significant. Comparisons between territories of small sizes should be prohibited. For areas with less than 2000 inhabitants, it is recommended not to use data from the complementary farm. For more methodological information, you can consult the fact sheets “Tips for the use of census results” by clicking on the link ‘https://www.insee.fr/fr/information/2383177’ These fact sheets present the new features of the population census and discuss their impact on the use of the data. In particular, they specify the changes affecting the main statistical variables and their comparability with previous censuses. NB: due to the COVID-19 health crisis, the annual census survey to be held in 2021 was postponed to 2022. INSEE has adapted its methods of calculating legal populations to compensate for this postponement and continue to produce quality legal populations each year. Thus from the dissemination of legal populations 2019, INSEE recommends making comparisons of results over a period of 6 years and this until the 2023 census included. The adaptation of the methods is presented in this document:

This dataset comes from INSEE’s Macro-Economic Data Bank. The BDM is the main database of series and indices on all economic and social fields. It makes available all the information necessary for the economic diagnosis, and more generally for the analysis of fluctuations in economic activity, at global and sectoral levels, in a harmonised presentation, for a set of series from multiple sources.

Housing data:

Housing stock by type Number of main residences per urban unit Occupancy status of main residences Characteristics of main residences

WFS service - Data from the 2015 general population census - INSEE (detailed housing database)

France Manufactured Homes Market size was valued at USD 3 Billion in the year 2024, and it is expected to reach USD 4.27 Billion in 2032, at a CAGR of 4.5% over the forecast period of 2026 to 2032.

Key Market Drivers:

Housing Affordability Crisis: France faces significant housing affordability challenges, particularly in cities. Manufactured homes offer an affordable alternative to traditional housing. According to Eurostat, housing prices in France increased by about 25% between 2015 and 2023, while wages grew by only 10%. According to the French National Institute for Statistics and Economic Studies (INSEE), over 40% of French households in major cities spend more than one-third of their income on housing. Manufactured homes are typically priced 20-30% lower than traditional construction, making them attractive options.

Rural Revitalization Initiatives: Government programs to revitalize rural areas are providing opportunities for manufactured housing solutions.

Representation of the share of "apartment" type housing by type of fuel in the stock of main residences at municipal level. The data comes from the 2015 INSEE housing survey (from the population census).

Situation 2019
Number of second homes and occasional accommodation since 1962

Consult the metadata

WMS flow of the representation of the share of "apartment" type housing by type of fuel in the stock of main residences at municipal level. The data comes from the 2015 INSEE housing survey (from the population census).

Analysis of ‘Housing and social housing in EPCI ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/6170ae10981edd7b132f28a0 on 13 January 2022.

--- Dataset description provided by original source is as follows ---

As part of its task of financing social housing in France, CDC, through the Banque des Territoires, monitors and provides useful data for stakeholders and observers seeking to analyse developments in the territories, construction activity and the social housing sector.

The available dataset presents background indicators on the housing stock and information on the social housing stock for the 8 main EPCI in each region.

These data come from the INSEE, the Sit@del2 database, the social rental park (RPLS) directory and the CDC. They are valued in the annual publication of the Atlas of Housing and Territories (Land banks), see reference below.

The data refer to the years N-2 compared to the year of publication indicated, except for the unemployment rate (Q4 N-1) and the poverty rate (N-3).

--- Original source retains full ownership of the source dataset ---

This dataset comes from INSEE data from the population census. (For the moment data from referencing as at 1 January 2018) It reflects the different characteristics of Tours and its neighbourhoods through indicators such as the number of inhabitants, the age distribution of the population, CSPs, households, housing and mobility. Raw data are available on INSEE website

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes* - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes*

UNIT DESCRIPTIONS: - Dwellings: no - Households: Yes - Group quarters: A collective household is a group of persons that does not live in an ordinary household, but lives in a collective establishment, sharing meal times.

Universe

Residents of France, of any nationality. Does not include French citizens living in other countries, foreign tourists, or people passing through. Reintegrated persons: Persons living in group quarters or without a fixed address but having a usual home elsewhere (i.e., enumerated away from their usual residence). During data processing, most of these people are reintegrated into their usual households, except in the case of persons in psychiatric hospitals and prisons. Legal population refers to de jure population plus population compte a part.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: INSEE (Institut National de la Statisque et des Etudes Economiques)

SAMPLE SIZE (person records): 2631713.

SAMPLE DESIGN: Systematic manual sorting into lots with different sample units according to target population. Lots divide the population into different samples (1/4 and 3/4). 1/20 sample is selected from 1/4 sample. Reintegrated persons: Persons living in group quarters or without a fixed address but having a usual home elsewhere (i.e., enumerated away from their usual residence). During data processing, most of these people are reintegrated into their usual households, except in the case of persons in psychiatric hospitals and prisons. Legal population refers to de jure population plus population compte a part.

Mode of data collection

Face-to-face [f2f]

Research instrument

Separate forms for buildings, group quarters (collective households), group quarters (compte a part), private households, and boats. Four forms for individuals (living in group quarters and private dwellings; two different forms for people compte a part; living in boats).