In 2024, the Hotel Price Index (HPI) in Spain reached a peak in May at over *** points, which was the highest HPI recorded since at least January 2020 and was above by *** percent versus the same month of the previous year.

Graph and download economic data for Producer Price Index by Industry: Hotels and Motels, Except Casino Hotels: Full Service Hotels and Motels Guestroom Rental (PCU721110721110102) from Jun 1993 to Aug 2025 about casino, hotel, rent, services, PPI, industry, inflation, price index, indexes, price, and USA.

We will create a customized hotels dataset tailored to your specific requirements. Data points may include hotel names, location details, pricing information, amenity lists, guest ratings, occupancy rates, and other relevant metrics.

Utilize our hotels datasets for a variety of applications to boost strategic planning and market analysis. Analyzing these datasets can help organizations understand guest preferences and market trends within the hospitality industry, allowing for more precise operational adjustments and marketing strategies. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: optimizing booking strategies, enhancing guest experience, and competitive benchmarking.

The USA Hotels Dataset from Booking.com is a rich collection of data related to hotels across the United States, extracted from Booking.com. This dataset includes essential information about hotel listings, such as hotel names, locations, prices, star ratings, customer reviews, and amenities offered. It's an ideal resource for researchers, data analysts, and businesses looking to explore the hospitality industry, analyze customer preferences, and understand pricing patterns in the U.S. hotel market.

Access 3 million+ US hotel reviews — submit your request today.

Key Features:

• Hotel Information: Includes hotel names, addresses, star ratings, and descriptions.
• Pricing Data: Nightly rates, discounts, and price variations by room type and season.
• Customer Reviews: Aggregated ratings and detailed user feedback from verified guests.
• Amenities: Detailed list of amenities provided by each hotel (e.g., Wi-Fi, parking, spa, swimming pool).
• Geographical Information: Hotel locations including city, state, and proximity to major landmarks.

Use Cases:

• Sentiment Analysis: Analyze customer reviews to gauge hotel service quality and guest satisfaction.
• Price Analysis: Compare pricing across different hotels, locations, and time periods to identify trends.
• Recommendation Systems: Build recommendation engines based on customer ratings, reviews, and preferences.
• Tourism and Hospitality Research: Understand patterns in hotel demand and services across various U.S. cities.

As a result of the coronavirus (COVID-19) pandemic the hotel industry has taken a hit in 2020. In May 2020, the average daily rate (ADR) of hotels in Europe was ***** U.S. dollars. Daily hotel prices were lowest in the Asia Pacific region during the same month.

Hotel rate changes worldwide

In each region, corporate average daily hotel rates are forecast to increase by 2020. Asia’s rates are predicted to be higher than the global average, increasing by about ***** percent. Latin America should see a smaller rise of about *** percent, due to the more modest growth in demand within this region. However, these rates were forecast prior to the coronavirus (COVID-19) pandemic therefore will be subject to change.

Hotel occupancy rate

Average daily rates in the hotel industry tend to change throughout the year as they are closely linked to hotel occupancy rates. Specific regions are visited more frequently during certain times of year. For instance, hotel rooms in the Americas were rented more frequently during the summer months, compared to the colder winter months in 2019.

Hotel Price Index: Hotel Price Index (HPI): Coefficient of variation of the national overall index. Monthly. National.

Expedia Group, Inc. is an American online travel shopping company for consumer and small business travel.

👉🏻 Expedia is the world’s largest online travel agency (OTA) and powers search results for millions of travel shoppers every day. In this competitive market matching users to hotel inventory is very important since users easily jump from website to website. As such, having the best ranking of hotels (“sort”) for specific users with the best integration of price competitiveness gives an OTA the best chance of winning the sale.

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👉🏻 Expedia has provided a dataset that includes shopping and purchase data and information on price competitiveness. The data are organized around a set of “search result impressions”, or the ordered list of hotels that the user sees after they search for a hotel on the Expedia website. In addition to impressions from the existing algorithm, the data contain impressions where the hotels were randomly sorted, to avoid the position bias of the existing algorithm. The user response is provided as a click on a hotel or/and a purchase of a hotel room.

Appended to impressions are the following: 1) Hotel characteristics 2) Location attractiveness of hotels 3) User’s aggregate purchase history 4) Competitive OTA information

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Hotel Price Parity Monitoring Market Outlook

According to our latest research, the global hotel price parity monitoring market size is valued at USD 1.12 billion in 2024 and is expected to reach USD 3.17 billion by 2033, expanding at a robust CAGR of 12.3% over the forecast period. This growth trajectory is primarily driven by the escalating demand for real-time pricing intelligence, the proliferation of online travel agencies (OTAs), and the increasing focus by hotels on optimizing revenue management strategies. The market’s expansion is further fueled by the digital transformation of the hospitality sector and the growing complexity of distribution channels worldwide.

One of the central growth factors for the hotel price parity monitoring market is the intensifying competition among hotels and OTAs. As digital bookings become the norm, maintaining consistent pricing across various distribution platforms is critical for brand reputation and customer trust. Hotels are increasingly investing in advanced software and analytics tools to monitor and enforce price parity, preventing undercutting by third-party sellers. This trend is further accelerated by the rise of meta search engines and aggregators, which make price discrepancies instantly visible to consumers. As a result, the need for comprehensive price parity monitoring solutions has never been more pronounced, driving market growth across all regions.

Another significant driver is the adoption of cloud-based solutions, which offer scalability, real-time data processing, and seamless integration with existing property management systems (PMS) and revenue management systems (RMS). Cloud deployment not only reduces infrastructure costs but also enables hotels to access critical pricing data from any location, thereby enhancing operational efficiency. Furthermore, the integration of artificial intelligence and machine learning into price parity monitoring platforms is enabling predictive analytics and dynamic pricing strategies, allowing hoteliers to respond swiftly to market changes and optimize their revenue streams. These technological advancements are expected to further propel the market in the coming years.

The increasing globalization of the hospitality industry is also contributing to market expansion. As hotel chains and independent properties strive to attract international travelers, the complexity of managing pricing across multiple currencies, languages, and regional regulations becomes a formidable challenge. Price parity monitoring tools help hotels navigate these complexities by providing centralized dashboards, automated alerts, and comprehensive reporting features. This, in turn, ensures compliance with contractual agreements with OTAs and maintains a level playing field in diverse markets. The growing awareness among hoteliers regarding the financial implications of price disparities is expected to sustain the demand for these solutions throughout the forecast period.

Regionally, North America leads the hotel price parity monitoring market, driven by the high penetration of digital booking platforms and the presence of major hotel chains. Europe follows closely, benefiting from a mature hospitality sector and stringent regulatory frameworks governing online pricing. The Asia Pacific region, meanwhile, is witnessing the fastest growth, fueled by rapid urbanization, increasing internet penetration, and the burgeoning travel and tourism industry. Latin America and the Middle East & Africa are also emerging as promising markets, supported by rising investments in hospitality infrastructure and the growing adoption of technology-driven revenue management practices.

Component Analysis

The component segment of the hotel price parity monitoring market is bifurcated into software and services. The software segment dominates the market, accounting for a significant share in 2024, owing to the widespread adoption of automated solutions that streamline the process of tracking, analyzing, and enforcing price parity across multiple distribution channels. These software tools are equipped with advanced features such as real-time rate comparison, customizable reporting, and integration with existing hotel management systems. The increasing complexity of online distribution networks has made manual monitoring impractical, further driving the demand for robust software solutions. As hotels and OTAs continue to expand their digital presence, the need

Average achieved hotel room rate in Hong Kong in the past five years

The average price of accommodation in hotels and similar lodging establishments in the Brazilian City of Rio de Janeiro in amounted to 117 U.S. dollars in February 2024. The average price of hotel rooms reached the highest peak of the previous year in January, at 115 U.S. dollars.

The graph depicts the average price of a hotel room in 2010 and 2011* around the world. In Europe, the average cost for a hotel room was 167.76 U.S. dollars.The Hotel Price Index (HPI) is based on bookings made on hotels.com. The prices shown are those actually paid by the customer. The sample set are about 110,000 properties in more than 18,000 global locations.

Average hotel room prices - additional information

In both 2010 and 2011, the Caribbean was the most expensive region in the world to for hotel stays, with an average hotel room price of 207.11 U.S. dollars in 2011. The Caribbean, located to the south east of North America and the Gulf of Mexico, includes many popular vacation destinations such as the Bahamas, Cuba, Barbados and the Dominican Republic. The region is well-known for its natural beauty and luxury resorts. In 2013, Soufriere, St. Lucia, was one of the most expensive destinations for U.S. travelers in terms of hotel costs, second only to Bora Bora in French Polynesia, where the average daily rate for a hotel was 770 U.S. dollars. Despite the cost, Caribbean cruises were the most popular vacations in the U.S. according to travel company Travel Leaders Group.

A close neighbour of the Caribbean, North America saw the lowest average hotel price in 2010 and 2011. While low in comparison to other regions, the average daily rate of hotels in the U.S. has risen year-on-year since the global recession of 2009 and, in 2013, the U.S. hotel industry generated 163 billion U.S. dollars in revenue. The United States also has some expensive destinations of its own: the most expensive U.S. city for hotel rates in 2013 was Honolulu, Hawaii, with an average daily rate of 230 U.S. dollars. New York ranked second at 211 U.S. dollars a night.

As well as being the region with the second highest average hotel price, hotels in Europe also charge the most for room service. Six out of ten of the most expensive cities in the world for hotel room service were located in Europe in 2014. Helsinki in Finland was the most expensive at just under 90 U.S. dollars.

Switzerland Restaurants and Hotels Price Index jumped by 2.2% in 2019, compared to the previous year.

Hotel Price Index: 2001=100: Basque Country data was reported at 108.500 2001=100 in Dec 2008. This records an increase from the previous number of 107.800 2001=100 for Nov 2008. Hotel Price Index: 2001=100: Basque Country data is updated monthly, averaging 108.850 2001=100 from Jan 2001 (Median) to Dec 2008, with 96 observations. The data reached an all-time high of 128.100 2001=100 in Aug 2008 and a record low of 101.500 2001=100 in Feb 2002. Hotel Price Index: 2001=100: Basque Country data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.Q026: Hotel Price Index.

Hotel Price Intelligence Market Outlook

According to our latest research, the global Hotel Price Intelligence market size reached USD 1.42 billion in 2024, with a robust CAGR of 12.8% projected from 2025 to 2033. This growth trajectory is expected to drive the market to USD 4.22 billion by 2033. The primary growth factor for the hotel price intelligence market is the increasing demand for dynamic pricing strategies and real-time data analytics to optimize room rates and maximize revenues in an intensely competitive hospitality sector worldwide.

The hotel price intelligence market is witnessing significant expansion, propelled by the rapid adoption of advanced technologies such as artificial intelligence, machine learning, and big data analytics. These technologies empower hoteliers to analyze vast volumes of market data, competitor pricing, and consumer behavior in real-time, enabling them to make informed pricing decisions. As the hospitality industry becomes more digitized, the need for automated solutions that can efficiently monitor and adjust prices based on market trends and demand fluctuations becomes critical. This digital transformation is further fueled by the proliferation of online travel agencies (OTAs) and meta-search engines, which have intensified price transparency and competition, making price intelligence tools indispensable for hotels aiming to maintain profitability and market share.

Another key growth driver is the shift in consumer booking behavior, with travelers increasingly relying on online platforms to compare hotel prices and seek the best deals. This heightened price sensitivity among consumers compels hotels to adopt sophisticated price intelligence solutions that provide actionable insights for competitive benchmarking and price optimization. The integration of hotel price intelligence systems with property management and revenue management systems streamlines decision-making processes, enhances operational efficiency, and ensures that hotels can respond swiftly to market changes. Furthermore, the rise of personalized guest experiences and loyalty programs necessitates granular pricing strategies, which are made possible through advanced price intelligence platforms.

The ongoing recovery of the global tourism and travel sector post-pandemic is another influential factor driving the hotel price intelligence market forward. As travel restrictions ease and international mobility resumes, hotels are experiencing fluctuating demand patterns that require agile pricing strategies. Price intelligence solutions help hoteliers navigate these uncertainties by providing accurate demand forecasting and competitor analysis, allowing them to capitalize on peak periods and mitigate losses during low seasons. Additionally, the increasing penetration of cloud-based price intelligence platforms has lowered the barrier to entry for small and medium-sized hotels, democratizing access to cutting-edge pricing technologies and expanding the market’s user base.

Regionally, North America and Europe remain at the forefront of market adoption, thanks to their mature hospitality sectors and strong presence of global hotel chains. However, the Asia Pacific region is emerging as a lucrative market, driven by rapid urbanization, growing tourism, and increasing investments in hospitality infrastructure. The Middle East & Africa and Latin America are also showing promising growth, supported by rising international arrivals and expanding hotel portfolios. The competitive landscape is marked by the presence of both established technology vendors and innovative startups, each contributing to the market’s dynamic evolution through continuous product development and strategic partnerships.

Component Analysis

The component segment of the hotel price intelligence market is broadly categorized into software and services. The software segment dominates the market, driven primarily by the growing adoption of advanced analytics platforms that offer real-time pricing insights, competitor benchmarking, and automated pricing recommendations. These software solutions are increasingly leveraging artificial intelligence and machine learning algorithms to deliver predictive analytics, enabling hoteliers to anticipate market trends and optimize their pricing strategies accordingly. The high degree of customization and integration capabilities offered by these platforms further enha

Graph and download economic data for Consumer Price Index for All Urban Consumers: Lodging Away from Home in U.S. City Average (CUUR0000SEHB) from Dec 1997 to Aug 2025 about lodging, urban, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

According to a travel budgeting website, Iceland had the highest price of hotels among Nordic countries as of December 2024. At that time, the average hotel price in the Northernmost European country was at around 450 U.S. dollars for three nights.

Spain Hotel Price Index: 2001=100: Group data was reported at 110.300 2001=100 in Dec 2007. This records a decrease from the previous number of 112.500 2001=100 for Nov 2007. Spain Hotel Price Index: 2001=100: Group data is updated monthly, averaging 111.950 2001=100 from Jan 2000 (Median) to Dec 2007, with 96 observations. The data reached an all-time high of 127.900 2001=100 in Apr 2001 and a record low of 84.830 2001=100 in Jan 2000. Spain Hotel Price Index: 2001=100: Group data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.Q026: Hotel Price Index.

Dataset

This dataset was created by ShreyasBagwe1015

Released under Apache 2.0

Contents

Graph and download economic data for Consumer Price Index: Restaurants and Hotels (COICOP 11): Total for Spain (ESPCP110000GPM) from Feb 2002 to Nov 2023 about hotel, restaurant, Spain, CPI, price index, indexes, and price.

The average price of accommodation in hotels and similar lodging establishments in Mexico City in amounted to 110 U.S. dollars in February 2024. The average price of hotel rooms reached the highest peak of the previous year in October, at 119 U.S. dollars.