In Summary

Section Content
📊 Introduction The Airbnb occupancy rate is crucial for measuring the rental demand of a city and influencing the profitability of a real estate investment. This indicator shows how many days a property is booked compared to its availability.
🧮 Calculation of the occupancy rate The formula for calculating the occupancy rate is: (Reserved days / Available days) x 100. For example, an apartment in Paris booked for 21 days out of 30 has an occupancy rate of 70%.
🔑 Importance of the occupancy rate A high occupancy rate indicates strong demand and good rental performance. It is vital for adjusting prices and marketing strategies. A low rate may require management or listing presentation adjustments.
🛠 Optimizing the occupancy rate To improve the occupancy rate, owners can adjust prices, enhance services, optimize listings, offer more flexibility, and manage seasonality.
📈 Monitoring and adjustment It is essential to regularly monitor the occupancy rate to detect trends and adjust strategies accordingly. Platforms like AirDNA or SeeTransparent provide comparative data by city.
🌍 Occupancy rate by city The rates vary significantly between cities. Paris and Bordeaux, for example, show very high rates due to their strong tourist and economic appeal.
💰 Average price per night Average prices per night also vary and influence profitability. Paris has the highest prices, while cities like Toulouse offer more affordable options.
🎢 Factors influencing the rate Seasonality and tourism appeal are key factors. Local events and attractions increase occupancy during certain periods.

The Airbnb occupancy rate is a key indicator for owners of seasonal rentals. It allows measuring the rental demand of a city and can greatly influence the profitability of a real estate investment. Let’s look in detail at how this rate is calculated and which French cities have the highest rates.

How is the Airbnb occupancy rate calculated?

The occupancy rate is a key indicator for owners of seasonal rentals. It reflects the proportion of days during which a property is reserved, relative to the total period during which it is available for rent. Calculating this rate helps understand the performance of a property on the market and anticipate rental income.

The formula for the occupancy rate

The calculation formula for the occupancy rate is relatively simple and expressed as follows:

Occupancy rate = (Number of reserved days / Total available days) * 100

This means that the number of days the property is rented is divided by the total number of days it was available, then multiplied by 100 to obtain a percentage. This percentage is a key indicator of the demand for your rental.

Practical example

Let’s take the example of an apartment in Paris available for rent throughout June, which is 30 days. Suppose this apartment was reserved for 21 days during this month. The calculation of the occupancy rate would then be:

Occupancy rate = (21 reserved days / 30 available days) * 100 = 70%

This means that, during June, the apartment was occupied 70% of the time. This rate is a good indicator of rental demand in a given city and can also serve as a basis for adjusting prices or marketing strategies.

Why is the occupancy rate so important?

The occupancy rate is crucial because it provides a clear indication of your property’s performance in rental. A high occupancy rate means that the property is frequently reserved, which may indicate strong demand. This can be related to location, seasonality, or other factors such as the nightly rate, service quality, and listing presentation.

Conversely, a low occupancy rate may signal a need to review certain aspects of your management, such as pricing, visibility of the listing, or services offered. For example, in a tourist city, an occupancy rate below 50% may suggest that the competition is more attractive or that your pricing strategy is not aligned with travelers’ expectations.

Optimizing the occupancy rate

Several levers allow optimizing a property’s occupancy rate on Airbnb:

  1. Price adjustment: An attractive price, aligned with local competition, can help increase reservations. Dynamic pricing tools are available to automatically adjust prices based on demand.
  2. Service quality: Providing additional services (such as cleaning, fast internet, or modern equipment) can make the listing more appealing and improve customer satisfaction, thereby increasing reservations.
  3. Listing optimization: A well-written listing with professional photos and detailed descriptions enhances visibility on reservation platforms and can encourage more travelers to book.
  4. Flexibility in rental conditions: Offering more flexibility in cancellation conditions or allowing short stays can reach a broader audience and increase your occupancy rate.
  5. Managing seasonality: By adjusting prices during off-peak periods or launching promotions during months of lower demand, you can stimulate bookings and prevent your property from remaining vacant for too long.

Monitoring and adjusting the occupancy rate

It is essential to regularly monitor your property’s occupancy rate to detect trends and adapt strategies accordingly. Platforms like AirDNA or SeeTransparent provide data on the average occupancy rate per city, enabling comparison with similar properties in the region.

Occupancy rate by city in France

The table below presents the average Airbnb occupancy rate in several major French cities, ranked according to their rental demand for studios to T2 apartments and houses with 3 to 6 bedrooms.

City Apartment (Studio to T2) House (3 to 6 bedrooms)
Paris 83% 77%
Nice 81% 67%
Lyon 68% 60%
Bordeaux 75% 70%
Strasbourg 75% 62%
Toulouse 68% 63%
Nantes 71% 62%

Analysis of occupancy rates

  • Paris and Bordeaux stand out with very high occupancy rates (over 75%), whether for apartments or houses, indicating strong rental demand. Paris, in particular, benefits from international appeal, notably due to its economic and tourist scene, while Bordeaux attracts with its wine and cultural heritage.
  • Nice, a coastal city, also maintains a high rate (81% for apartments), mainly due to its Mediterranean climate and its appeal to tourists, especially during summer. Houses show a slightly lower rate, probably because they are less in demand than vacation apartments.
  • Lyon and Toulouse rank with respectable occupancy rates around 68%, reflecting their importance as economic and university centers.
  • Nantes and Strasbourg offer rates slightly below those of Paris or Nice, but with solid occupancy levels for both types of properties (over 60%). These are attractive cities due to their geographical location and cultural attractions, Strasbourg notably with European institutions.

Profitability and demand

Cities with a high occupancy rate, such as Paris, Bordeaux, and Nice, benefit from nearly constant rental demand, making them strategic choices for investors. These rates indicate that properties are frequently rented, ensuring regular rental income.

Conversely, cities like Lyon or Toulouse show more moderate rates but can still offer interesting profitability depending on average nightly prices, often lower than in major tourist cities like Paris or Nice. This allows investors to aim for better net profitability by controlling costs.

This table highlights differences in occupancy and helps owners or future investors choose their location better based on rental demand and their financial objectives.

Average price per night in major cities

The average price per night is a critical indicator for determining the profitability of an Airbnb rental. It helps evaluate the potential income generated by a property and can vary based on the demand, location, and size of the accommodation. Here is a summary table of average prices per night in major French cities for apartments (studio to T2) and houses (3 to 6 bedrooms):

City Average price per night (apartment) Average price per night (house)
Paris 262€ – 414€ 414€
Nice 155€ – 187€ 172€
Lyon 127€ – 158€ 142€
Bordeaux 139€ – 206€ 206€
Nantes 93€ – 162€ 162€
Toulouse 87€ – 126€ 126€

Analysis of average prices

  • Paris dominates with high average prices per night. For an apartment, expect prices ranging from 262€ to 414€, while for a house, the average is 414€. Paris is an essential destination for international tourists and business travelers, justifying these high rates. Owners, with good occupancy rates, can thus maximize their monthly revenue.
  • Nice also ranks high, with prices ranging from 155€ to 187€ for apartments and 172€ for houses. The appeal of Côte d’Azur, especially in summer, allows maintaining high rates, ensuring increased profitability for owners who optimize their occupancy rate.
  • Lyon and Bordeaux show solid average prices. Lyon, with rates between 127€ and 158€ for apartments, is a city with strong economic and university demand, while Bordeaux, with prices reaching 206€ for houses, attracts with its heritage and growing tourism.
  • Nantes and Toulouse, with more accessible average prices (from 93€ to 162€ for Nantes and from 87€ to 126€ for Toulouse), are more affordable in rental terms. These lower prices, combined with respectable occupancy rates, enable owners to achieve stable profitability while offering interesting alternatives to more expensive cities.

Profitability and price optimization

Cities like Paris and Nice offer high revenue potential thanks to high average nightly prices. However, to maximize profitability, maintaining an optimal occupancy rate throughout the year is essential. For example, an apartment in Paris, with an 83% occupancy rate and an average price of €300 per night, could generate over €7,400 per month (€300 * 25 reserved days).

In cities like Lyon, Bordeaux, or Nantes, where prices are slightly lower, owners can leverage reservation frequency to compensate for lower unit prices. Good price management, especially with dynamic pricing, can also attract travelers during off-peak periods, maximizing annual income.

Factors influencing the Airbnb occupancy rate

The Airbnb occupancy rate is affected by many factors, including seasonality, tourist appeal, and other city-specific elements. These factors are essential to understand the variations in short-term rental performance and to optimize pricing strategies.

Seasonality

The occupancy rate varies greatly depending on seasons. Certain times of the year see an increase in tourist demand, especially in cities known for their summer appeal or seasonal offerings.

  • During summer, cities like Nice or Bordeaux experience a significant rise in their occupancy rates. This is because these coastal or wine regions attract tourists seeking sun or cultural discovery. For example, the Cannes Film Festival attracts thousands of visitors yearly, directly impacting neighboring cities like Nice.
  • On the other hand, some cities like Toulouse may have lower rates during the off-season, particularly in winter when demand diminishes due to decreased tourist attractiveness. This requires owners to adjust their pricing or promote special offers to maintain a profitable occupancy rate.

Tourist attractiveness

The tourist attractiveness of a city plays a decisive role in its occupancy rate. Popular destinations among international tourists or business travelers generally record high occupancy rates year-round.

  • Paris, with its iconic monuments, world-famous museums, and large-scale events (such as fashion weeks or trade shows), sees a constant demand from visitors. Even during traditionally less touristy periods, Paris maintains a relatively high occupancy rate because it is also a major economic hub. This combination of tourism and business activities allows owners to benefit from a stable occupancy rate.
  • Similarly, cities like Strasbourg, with its European institutions and famous Christmas market, attract visitors regularly, ensuring a steady flow of reservations. The city’s event-driven and historical significance reinforce its attractiveness throughout the year.

Conclusion

The Airbnb occupancy rate is a key indicator for assessing profitability. Cities like Paris, Nice, and Bordeaux stand out for their high rates and substantial nightly prices, making them prime targets for investors. To maximize your rental income, it is essential to monitor changes in the occupancy rates and adjust pricing accordingly based on demand.

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