The myth and the question

Hotel occupancy in January is often presented as weak, almost “logical”, because January is supposedly the most depressing month of the year.

The famous date, that of the 21 January.

The fateful date, said to be the most depressing of the year.

The moment when everyone feels like winter will never end.

We haven't seen the sun for weeks.

Everyone should be wearing at least five layers of clothing before going outside.

So, if everyone is depressed, does that mean there are more or fewer customers in hotels?

January and morale: a statistical fact, not an opinion

Why?

Why is everyone so down in the dumps in January?

Well, if you've already had this conversation, you probably know the answer. But just in case, there are several reasons why this phenomenon occurs.

The first one: that's when was the last time you saw 10 hours of sunshine in a row ?

The second: the succession of parties. Everyone goes home exhausted, both physically and mentally.

The third: money. After the holidays and gifts, there's not much left in the account, which severely limits desires and possibilities.

Clinical studies have identified a seasonal affective disorder (Seasonal Affective Disorder, SAD),
a form of recurring depression which emerges in autumn and winter and diminishes in spring and summer.
Encompassing symptoms ranging from decreased energy and motivation to moderate depressive states, this phenomenon affects several percent
of the population in temperate regions and is linked to the reduced exposure to natural light during the darkest months.

To date

To delve deeper into customer behavior analysis, you can also read: How each generation travels.

Internal data from 2025 shows an increase in occupancy rates across all hotel categories compared to the previous year.
This reading helps to understand thehotel occupancy in January beyond preconceived ideas.

This increase is particularly marked in the 3, 4 and 5 star segments, where the increase in occupancy reaches respectively
+ 3,5, + 3,9 et + 13,6 points.

These results show one simple thing: the hotel seasonality This is not a “verdict”, it is a dynamic. And depending on the segment, it does not evolve in the same direction.

Occupancy simply remains lower than during peak months, as July in Pariswhich constitutes a seasonal peak. This reading allows for a better understanding of thehotel occupancy in January, often perceived as weaker than it actually is.

The idea of ​​a January that is structurally unfavorable to the hotel industry thus appears reductive, or even incorrect, when the analysis distinguishes between customer categories and dynamics.

Data generated by Stathotel

Three profiles

In January, There are three types of customers in hotels.

The real question is therefore simple: Which one do you want to attract?

urban business hotels

In Paris, the urban hotel sector, primarily catering to business travelers, exhibits a marked seasonality.business hotels is particularly sensitive to the professional calendar.
January data shows an occupancy rate between 63% and 67% according to the 2 to 4 star categories, which are the lowest levels of the year.
Conversely, in July, the busiest month, occupancy regularly exceeds 75%and even reached more than 85 % on certain segments.

This difference is not explained by price pressure. Average prices remained relatively high in January.
The decline stems primarily from a contraction in the volume of overnight stays sold. It reflects the slowdown in the business calendar at the beginning of the year.
less economic activity, a decrease in corporate travel and a scarcity of major events.

Winter leisure hotels

Unlike urban hotels, winter leisure destinations approach January as a peak season months. Among them, themountain hotels occupies a central place in January.
In the mountains, demand does not contract under the effect of winter: it is the driving force.
Snow cover, school holidays and the planned nature of stays place January at the heart of the tourist calendar.

THEmountain hotels It therefore functions in the opposite way to the urban environment. January is not an anomaly, but a revealer.
Depending on the nature of the request, The same month can produce opposing hotel dynamics..

Escape hotels (sun, long stays)

Unlike previous profiles, climate escape hotels are based neither on professional constraints nor on the valorization of winter as a tourist resource.
It follows a different logic: that of avoidance.

This type of travel responds to an explicit search for sun, light and more favorable weather conditions.

This evasion model shows that the hotel seasonality does not automatically imply a decrease in tourist demand,
but rather a redistribution of flows towards territories capable of offering a climate alternative.

How can you do it?

❌ “January is depressing so hotels are empty” is false.

✔ January changes behaviors, not always in the same direction.

It's impossible to attribute a drop in occupancy rates solely to "morale." January may be the most "depressing" month, but many other factors come into play:
Prices, holidays, weather, inflation. January is therefore not a universally "bad month".

Above all, it requires a clear positioningwhich you must choose according to your location: business, leisure, wellness, climate escape.

You then need to adapt as much as possible, especially regarding pricing, to remain competitive. Your marketing should remain seasonal in order to attract the right customer at the right time.
and your offers must be tailored to each profile.

For example:

• Business offer : free conference room for 1 hour.
• Wellness offer -20% off massages or treatments.

Conclusion

January is statistically a darker month psychologically, but its impact on the hotel industry is neither uniform nor automatic. In practice, thehotel occupancy in January depends primarily on positioning, much more so than on the psychological context.
The hotel industry there is highly seasonal, but above all segmented.

And in the end, thehotel occupancy in January depends mainly on positioning and type of clientele.
Any overall analysis that ignores this segmentation will miss the economic reality of the sector.