MacroDataHub

France hotel nights spent: total in Corse

France hotel nights spent: total in Corse stood at 662 thousands in Aug 2026, according to INSEE – Institut national de la statistique et des études économiques (BDM). It is one of the indicators in the Tourist accommodation table (Value · Monthly), with a complete series running from Jan 2011 to Aug 2026. The complete series with an interactive chart, free to download.

Source: INSEE – Institut national de la statistique et des études économiques (BDM)Last updated: Curated by Bui Thanh Phuc
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This indicator in the Tourist accommodation table

Indicator08-202607-202606-202605-202604-202603-202602-202601-202612-202511-2025
Nights spent
Number of nights spent at hotels - Total - Corse662579.5508.1400.5183.356.236.930.142.247.3
Number of nights spent at hotels - Total - Île-de-France6,1446,8536,8516,8516,4415,6904,9625,2876,1315,611

Understanding france hotel nights spent: total in Corse

Capturing the total number of nights spent by all guests inside classified hotel establishments throughout Corse, this metric combines resident and non-resident visitors into a single aggregate. Every verified night of occupancy recorded at a reception desk within the specified island boundary adds to the monthly tally. Alternative lodging formats such as campsites, marinas, and private rentals are excluded from this specific accommodation count.

Analyzing the series demands an understanding of extreme seasonal concentration, where activity peaks heavily during summer months and contracts during winter. Consequently, comparing any month against the identical month from the prior year provides a clearer picture than examining consecutive monthly changes. Early data points often face upward revisions as administrative reports from remote or seasonal properties arrive belatedly.

Frequently asked questions

Are guests staying in rented villas included in this hotel metric?
No, private rentals and alternative accommodations are tracked in separate series.
How does seasonality affect the interpretation of these figures?
The heavy concentration of tourism in specific months creates massive swings that overshadow underlying trends.
Why might preliminary monthly figures change in later releases?
Delayed responses from hospitality operators require routine revisions to early estimates.

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