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Berlin, Germany: Short-term Vacation Rental Market Performance

Last Updated on 2 months by Mousumi Sharma
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Key Takeaways

The World STR Index data represents the month-to-month short-term rental market performance in the region of Berlin, Germany, from January 2021 to January 2024.

  • The Average Daily Rate (ADR) has a growing trend and ranges from 74€ to 145€ over three years, indicating a positive progression in room revenues. The Revenue per Available Room (RevPAR) also demonstrates an overall increase, denoting a growth in both occupancy and ADR, with values from 19€ to 101€.
  • The Occupancy rate indicates the capacity utilization for the listings, increasing from 26% to 72%.
  • The average bookings range between 0.9 to 4.4, suggesting variations in the demand.
  • The count of active listings, representing the supply side, fluctuates over the months, with a slight decreasing trend, ranging from 8442 to 13254.
  • Overall, the table depicts an industry that is expanding with rising room revenues and occupancy rates balanced with the fluctuations of demand and supply. The data indicates potential growth prospects for the hospitality industry in Berlin, Germany, with increasing ADR and RevPAR.

ADR Summary

Average Daily Rate (ADR) for STRs in Berlin, Germany – Month on Month from January 2021 to January 2024
Average Daily Rate (ADR) for STRs in Berlin, Germany – Month on Month from January 2021 to January 2024

The ADR (Average Daily Rate) in Berlin, Germany, demonstrated a noticeable upward trend from January 2021 to January 2024. Starting at 74€ in January 2021, it increased to 115€ in January 2024. There seemed to be some evidence of seasonality in the ADR trend.

The ADR tended to be lower during the first quarter (Q1) of each year. For instance, in 2021, the ADR rose from 74€ in January to 76€ in March. In 2022, it increased from 81€ in January to 88€ in March, and in 2023, it rose from 102€ in January to 111€ in March.

In the second quarter (Q2), the ADR generally surged. In 2021, it peaked at 86€ in June; in 2022, it reached a high of 117€, and in 2023, it escalated dramatically to 138€.

Interestingly, the third quarter (Q3) saw a slight drop in the ADR, albeit remaining relatively high. In the last quarter (Q4), the ADR decreased to a lower level, particularly in November, before rising again in December.

In conclusion, the overall trend of ADR in Berlin, Germany, from January 2021 to January 2024, was an ascending one, with some noticeable seasonal fluctuations. These seasonal variations were characterized by a gradual increase in the ADR during the first half of the year, a slight dip in Q3, followed by a variable pattern in Q4.

RevPAR Summary

Revenue Per Available Room (RevPAR) in Berlin, Germany – Month on Month from January 2021 to January 2024
Revenue Per Available Room (RevPAR) in Berlin, Germany – Month on Month from January 2021 to January 2024

The Revenue Per Available Room (RevPAR) for Berlin, Germany, shows a rising trend from January 2021 to June 2023. It began at 19€ in January 2021 and gradually increased to 99€ in June 2023. This indicates a period of consistent growth throughout two and a half years. However, there were a few fluctuations along the way. For instance, the RevPAR rose from 19€ in January 2021 to 50€ in August 2021, showing a positive trend during this period. Post this, the RevPAR dropped to 42€ in December 2021 before rising again to 86€ by September 2022. Again, a descending period followed, reaching 46€ in January 2023.

Notably, the period from January 2023 to June 2023 witnessed a strong growth phase where RevPAR peaked at 99€. After June 2023, the RevPAR started declining again, reaching 57€ by January 2024. Observing the data, it seems like the RevPAR for Berlin, Germany, tends to fluctuate periodically. This could result from seasonal variations affecting the market performance of the accommodation industry in the region.

Read here: How to Calculate RevPAR.

Occupancy Rate Summary

Occupancy Rate for STRs in Berlin, Germany – Month on Month from January 2021 to January 2024
Occupancy Rate for STRs in Berlin, Germany – Month on Month from January 2021 to January 2024

The occupancy trends for Berlin, Germany, show a general pattern of increasing rates from 2021 until 2024. At the beginning of 2021, the occupancy rate hovered around 26%, but by the end of the year, it increased to 45%. 2022 began with an occupancy rate of 38%, and then it showed steady growth, reaching up to 65% in September. In November and December, however, the occupancy decreased to 54% and 51%, respectively.

Moving into 2023, the occupancy rates fluctuated in the first quarter, but from April onward, the rates began to consistently exceed 60% for most of the year, peaking at 72% in June. Afterwards, the occupancy rate remained relatively stable, staying around 70% until September, before declining gradually in the final quarter of 2023, ending the year at 58%.

As for 2024, the data is only available for January, displaying an occupancy rate of 49%. This suggests a potential seasonal drop in the occupancy rate from December to January, as seen in previous years.

In conclusion, the occupancy rates in Berlin have been increasing gradually over the years from 2021 to 2024, with periodic dips around the start and end of each year and the highest rates generally observed in the middle months showing dynamic market performance.

Read here: How to Calculate Occupancy Rate.

Avg. Bookings Summary

Average Bookings Summary for STRs in Berlin, Germany – from January 2021 to January 2024
Average Bookings Summary for STRs in Berlin, Germany – from January 2021 to January 2024

The average bookings in the Berlin region of Germany have generally experienced an upward trend from January 2021 to January 2024, maximizing the short-term rental market performance. In January 2021, the average bookings were only 0.9, but this increased over time, reaching a peak of 4.4 by January 2024.

There is a noticeable periodic trend in the average bookings, where a peak is often followed by a slight dip and then a rise again. For example, in 2021, average bookings peaked in October at 2.3, then dipped in December to 1.5, only to rise again, reaching a higher peak in March 2022 at 3.1. This pattern repeats throughout the years, indicating a potential seasonality.

Moreover, the numbers tend to climb till spring-summer months, then dip in late fall or winter, showing a likely annual seasonal trend in the booking behavior corresponding to different seasons of the year. However, the peak booking months shift slightly each year — from October in 2021 to March and April in 2022, then to April and November in 2023, and reaching the highest in January 2024.

In general, the quantity of average bookings is consistently growing each year, indicating a significant increase in demand or popularity for the listings in Berlin.

Count of Active Listings Summary

Active Listings Count for STRs in Berlin, Germany – from January 2021 to January 2024
Active Listings Count for STRs in Berlin, Germany – from January 2021 to January 2024

The count of active listings in Berlin, Germany, showed some fluctuations but a general downward trend from January 2021 to January 2024, demonstrating low market performance. In January 2021, there were 12,254 listings, which gradually increased, with minor ups and downs, reaching the highest point of 13,254 in June 2021. After that, the count decreased moderately, falling to 10,400 in December 2021. In early 2022, it showed a little rise but again embarked on a decreasing trend for most of the year, dropping to 9,994 in October 2022 before slightly increasing towards the end of the year. The count of active listings continued to fluctuate in 2023 with a significant drop to 8,442 in April 2023. Afterward, there was a slight increase, reaching 9,673 in September 2023, but it decreased again towards the year’s end. By January 2024, the count of active listings stood at 9,259.

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About Short-term Rental Index

The World STR (Short-term Rental) Index by PriceLabs is a free tool for tracking short-term rental market performance worldwide. It offers data from Airbnb markets worldwide, refreshed monthly. You can access free insights on which locations are gaining or losing popularity. Key features include:

  • Compare: Compare year-over-year metrics like active listings, occupancy rates, RevPAR, and ADR.
  • Trend: Visualize how metrics have changed over the past years.
  • Pacing: Compare upcoming year metrics to the previous year for occupancy, ADR, and RevPAR.

Explore more FREE tools by PriceLabs here.

About PriceLabs

PriceLabs is a revenue management solution for the short-term rental and hospitality industry, founded in 2014 and headquartered in Chicago, IL. Our platform helps individual hosts and hospitality professionals optimize their pricing and revenue management, adapting to changing market trends and occupancy levels.

With dynamic pricing, automation rules, and customizations, we manage pricing and minimum-stay restrictions for any portfolio size, with prices automatically uploaded to preferred channels such as AirbnbVrbo, and 100+ property management and channel integrations.

Every day, we price over 300,000+ listings globally across 135+ countries, offering world-class tools like the Base Price Help and Minimum Stay Recommendation Engine. Choose PriceLabs to increase revenue and streamline pricing and revenue management. Sign up for a free trial at pricelabs.co today.

Dynamic pricing in Airbnb refers to the practice of adjusting rental rates in real time based on various factors such as demand, seasonality, local events, and market conditions. This approach allows hosts to optimize their earnings by automatically increasing or decreasing prices to match supply and demand fluctuations. By utilizing data and algorithms, dynamic pricing aims to find the optimal balance between attracting guests and maximizing revenue, ensuring that prices reflect the current market dynamics.
To implement dynamic pricing for vacation rentals, collect relevant data, identify key factors, set pricing rules, use dynamic pricing software, monitor performance, and adjust as needed to optimize revenue.
The aim of dynamic pricing is to optimize revenue and occupancy rates. It is done by adjusting prices in real time based on factors such as demand, market conditions, competition, and other variables. Dynamic pricing softwares seeks to find the optimal balance between attracting guests and maximizing profitability by dynamically setting prices that reflect current market dynamics. The goal is to capture the highest possible value for each booking while ensuring competitiveness in the market.
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