Hotel room occupancy rate in Tarn, France
Hotel room occupancy rate in Tarn, France stood at 55.7% in Aug 2026, according to INSEE – Institut national de la statistique et des études économiques (BDM). It is one of the indicators in the Hotel nights by department table (Value · Monthly), with a complete series running from Jan 2011 to Aug 2026. The complete series with an interactive chart, free to download.
This indicator in the Hotel nights by department table
| Indicator | 08-2026 | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | 11-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Hotel room occupancy rate | |||||||||||
| Tarn | 55.7 | 56.1 | 58.8 | 48.4 | 52.5 | 47.5 | 45.1 | 36.7 | 43.9 | 47.9 | |
| Tarn-et-Garonne | 52 | 57.8 | 67 | 56.2 | 53.7 | 47.6 | 42.1 | 42 | 43.2 | 43.8 |
Understanding hotel room occupancy rate in Tarn, France
Evaluating the operational intensity of commercial lodging within Tarn, this monthly index reveals the proportion of active bedroom inventory utilized by paying occupants. The calculation divides total monthly nights spent by guests in registered hotels by the aggregate capacity of rooms available for booking during that exact timeframe. Facilities that are temporarily offline for maintenance are omitted from the denominator, while non-commercial lodging options, guest houses, and uncertified rentals are excluded entirely from the survey framework. By focusing on utilization rates rather than absolute visitor headcounts, the series provides a pure measure of sector capacity pressures without bias from inventory expansions.
Analyzing this dataset requires careful navigation of sharp seasonal fluctuations tied to regional holiday periods and leisure travel patterns. Because early statistical releases incorporate estimations for non-responding properties, users should anticipate revisions in subsequent publications before establishing long-term performance assessments. Comparing a specific month against the corresponding month of previous years remains the most reliable method for identifying genuine demand shifts, as sequential month-to-month changes are heavily distorted by seasonal weather. Care must be taken when contrasting these figures with urban destinations, given that local business travel drivers differ substantially.
Frequently asked questions
- How is capacity defined?
- Capacity equals the number of operational hotel rooms multiplied by the number of days in the month.
- Why do figures get revised?
- Revisions occur when late-reporting hotels submit their occupancy counts after the initial release.
- Are bed and breakfasts included?
- Only properties meeting official hotel classification standards are captured.