Brittany — France housing stock and social housing
France housing stock and social housing — Brittany stood at 561 Per 10,000 inhabitants in 2025, according to INSEE – Institut national de la statistique et des études économiques (BDM). It is one of the indicators in the Housing stock and social housing table (Value · Annual), with a complete series running from 2012 to 2025. The complete series with an interactive chart, free to download.
This indicator in the Housing stock and social housing table
| Indicator | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Social housing units per 10,000 inhabitants | |||||||||||
| Brittany | 561 | 559 | 552 | 549 | 544 | 543 | 537 | 526 | 517 | 509 | |
| Nouvelle-Aquitaine | 536 | 532 | 530 | 526 | 521 | 517 | 509 | 497 | 485 | 478 |
Understanding brittany
This metric calculates the ratio of regulated low-rent dwellings to residents across the Bretagne administrative territory. It measures the penetration of social housing within this specific western peninsula by dividing the inventory of eligible dwellings by the local population. The series counts only officially accredited social housing units and excludes private market rentals, unlisted vacant properties, and owner-occupied housing. This regional breakdown highlights public housing availability in an area characterized by distinct demographic trends.
Interpreting this indicator requires a long-term perspective, as regional housing stock expands or contracts very gradually over annual cycles. Revisions to early estimates usually follow adjustments in regional population estimates or late reporting from social housing operators. Analysts must avoid comparing this density figure with raw construction data, since per capita ratios depend as heavily on population mobility as on new building completions.
Frequently asked questions
- What geographic region does this series represent?
- It represents the Bretagne region in western France.
- How should analysts evaluate changes in this metric?
- Multi-year annual comparisons provide the most accurate view of structural trends in regional social housing supply.
- Why do preliminary figures get updated?
- Updates occur when final demographic figures and delayed administrative reports from local landlords are integrated.