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TwitterAverage achieved hotel room rate in Hong Kong in the past five years
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This table presents an overview of of the capacity (type of accommodation, rooms, beds) in the Netherlands in all hotels, motels, boarding houses, apartments with hotel services, youth accommodation and bed & breakfasts with at least 5 sleeping places. The figures can be broken down by star rating. Figures are available for The Netherlands as a whole, and for the city of Amsterdam.
The breakdown by star rating is based on the opinion of the accommodation itself. The star rating does not have to be officially registered. The breakdown contains all types of accommodation mentioned above, not just hotels. The '5 stars' category contains 5 star hotels, but also for instance 5 star bed&breakfasts.
Break in series: Figures on guests and overnight stays per star rating for the years until 2015, that were published before, were based on offical registrations of the number of stars by the 'Bedrijfschap Horeca en Catering'. This official registration does no longer exist. Therefore, Statistics Netherlands started asking accommodations about their number of stars in its annual survey. For this reason, the figures in this table are not directly comparable with figures published about the years until 2015.
Data available from: 2017
Status of the figures: The figures for 2025 are provisional and all other figures are final.
Changes as of 10 October 2025: The provisional figures for August 2025 have been added.
When will new figures be published? Figures of a new month become available within three months after the end of that month, these are provisional figures.
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Twitter📌 Title: Hotel Booking Analysis Dashboard – Power BI
📌 Description: This Power BI dashboard provides an interactive analysis of hotel booking trends using historical booking data. It offers insights into total bookings, customer preferences, cancellations, and room allocation across different hotels.
🔹 Key Insights: ✅ Total Bookings: 119,386, with insights into lead time and average night stays. ✅ Booking Trends: Breakdown by year, month, and hotel type (City Hotel vs. Resort Hotel). ✅ Cancellations: Comparison of canceled bookings across different hotels. ✅ Customer Segments: Analysis by customer type, meal preferences, and market segments. ✅ Distribution Channels: Impact of booking sources on revenue and deposits. ✅ Parking & Room Types: Distribution of required car parking spaces and reserved vs. assigned room types.
📊 Technologies Used: Power BI for data visualization Excel/SQL for data preprocessing DAX for calculated measures 🔗 How to Use This Dashboard: Explore yearly and monthly booking trends to understand seasonality. Identify cancellation patterns to improve booking policies. Analyze market segments and customer behavior for targeted marketing. 🚀 If you find this dashboard insightful, leave feedback and connect with me! 😊
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TwitterMonthly and annual hotel occupancy rate (%) in the past five years (provided by Hong Kong Tourism Board. For more information, please visit https://partnernet.hktb.com)
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Colombia Hotel Rates: Real Index data was reported at 11.631 2005=100 in May 2020. This records an increase from the previous number of 10.021 2005=100 for Apr 2020. Colombia Hotel Rates: Real Index data is updated monthly, averaging 127.868 2005=100 from Jul 2004 (Median) to May 2020, with 191 observations. The data reached an all-time high of 221.798 2005=100 in Dec 2019 and a record low of 10.021 2005=100 in Apr 2020. Colombia Hotel Rates: Real Index data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.Q002: Hotel Rates and Average Room Rate Index: 2005=100.
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IHIS: Average Room Rates per Hotel: Mussoorie data was reported at 5,467.000 INR in 2017. This records a decrease from the previous number of 5,670.000 INR for 2016. IHIS: Average Room Rates per Hotel: Mussoorie data is updated yearly, averaging 2,997.000 INR from Mar 1999 (Median) to 2017, with 13 observations. The data reached an all-time high of 6,078.000 INR in 2010 and a record low of 656.000 INR in 2006. IHIS: Average Room Rates per Hotel: Mussoorie data remains active status in CEIC and is reported by The Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHD004: Indian Hotel Industry Survey: Average Room Rates per Hotel: by Cities.
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China Hotel Room Occupancy Rate: Total data was reported at 50.690 % in 2023. This records an increase from the previous number of 38.350 % for 2022. China Hotel Room Occupancy Rate: Total data is updated yearly, averaging 56.180 % from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 61.030 % in 2006 and a record low of 38.350 % in 2022. China Hotel Room Occupancy Rate: Total data remains active status in CEIC and is reported by Ministry of Culture and Tourism. The data is categorized under Global Database’s China – Table CN.QHA: Star-Rated Hotel: Room Occupancy Rate.
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Colombia Average Room Rates: Suite data was reported at 139.431 Dec2004=100 in May 2020. This records a decrease from the previous number of 142.313 Dec2004=100 for Apr 2020. Colombia Average Room Rates: Suite data is updated monthly, averaging 143.572 Dec2004=100 from Dec 2004 (Median) to May 2020, with 186 observations. The data reached an all-time high of 157.429 Dec2004=100 in Jan 2020 and a record low of 100.000 Dec2004=100 in Dec 2004. Colombia Average Room Rates: Suite data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.Q002: Hotel Rates and Average Room Rate Index: 2005=100.
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TwitterAverage achieved hotel room rate in Hong Kong in the past five years