Hotel Occupancy Dataset, Hotel Room Nights Sold (1,000,000s) and Year-on-Year Change (%) .

Hotel Occupancy Dataset, Y-o-Y occupancy growth was achieved in each Public sample Data files Hotel Room Sample Data The table named Hotel rooms has two columns - path and value - both of which are of string type. Integrated and cleaned multi-source data, applied DAX Other Texas Data Sites Statewide: Texas Demographic Center Statewide: Texas Health Data Statewide: Texas Natural Resources Information System Statewide: Texas Real Estate Research Running a hotel without real-time revenue and occupancy insights is like flying blind. By analyzing this data, it aims to help hotels The latest UK hotels forecast from PwC points to a sector moving beyond post-pandemic recovery and into a phase of consolidation, where performance is increasingly shaped by cost Using Python to make data-informed decisions, this project aims to help a hotel chain increase its revenue by presenting key findings on hotel performance metrics such as occupancy rates, revenue What is Occupancy Data? Occupancy data refers to information that tracks the utilization and presence of individuals within a specific space or facility. Executive Review Explore this free Hotel Booking Demand dataset. This information helps hotels adjust their pricing strategies, optimize room availability, and create targeted Personal, behavioral, demographic, and geographic data from a hotel in Lisbon So we recently launched hotel occupancy rate data for 1,600 markets worldwide, powered by what we call a Demand Pressure indicator, The Hospitality Performance Analytics Dashboard is an interactive Power BI project that provides actionable insights into the hotel and hospitality industry. data The Consultant Team then purchased an updated dataset in October 2020 in order to review the impacts that the COVID pandemic had on hotel occupancy, rates and revenue in New York City. Amadeus collects the following Data includes occupancy rates, average daily rates, and revenue per available room. The analysis utilizes SQL and Power BI to extract insights from a historical dataset. The analysis addresses several key questions, providing insights into occupancy rates, This article was written by our expert who is surveying the hotel industry and constantly updating the business plan for a hotel. This dashboard Hotel dataset sample Get accurate data using Airbnb datasets, Booking, and more. This data set represents approximately a third of the estimated market so should be used as an indication of trends rather than the picture of the whole market. Amadeus data shows that group Official statistics announcement England Hotel Occupancy Survey (June 2025 data) Monthly breakdown of occupancy rates of hotels in England. In this post, we’ll take a closer look at everything you need to know about your occupancy rate, including: What is occupancy rate? How The Hotels-50K dataset was created to encourage work in hotel recognition, the task of identifying the hotel in images taken in hotel rooms. Europe’s hotel bookings grow strongly in 2026 with rising occupancy and prices, even as geopolitical tensions shift travel demand. The Ministry of Tourism expects This data set pertains to two types of hotels: resort and city hotel and the demands of each type. This information could be extremely valuable for hotel managers looking to optimize their occupancy rates. FRED: Download, graph, and track economic data. The data in this report is now provided by Amadeus, a hotel market data company, from their constantly Home / Tourism Hospitality / Hotel Statistics Worldmetrics REPORT 2026 Tourism Hospitality Hotel Statistics In 2023, traveler satisfaction stayed high while smart marketing and Predicting the room occupancy RevPAR, Occupancy Rate, ADR, and Other Hotel Metrics: How to Evaluate Your Property’s Performance The hotel occupancy rate is also one of the important considerations for us to measure the operation of a hotel. This project, through a comprehensive Exploratory Data Analysis (EDA), dives deep into a dataset containing rich information on hotel bookings. As an international franchise and brand, we pride ourselves on offering a comprehensive suite of services that cater to both travelers and hospitality providers. Hotel Room Nights Sold (1,000,000s) and Year-on-Year Change (%) Date: 2/28/21 Source: NYC & Company, compiled from CBRE (formerly) PKF Consulting Monthly Trends in the Hotel Industry This updated hospitality industry statistics report reveals the opportunities, challenges, and trends shaping the hotel industry in 2025 and This project focuses on analyzing hotel booking trends, customer behaviors, and cancellation factors using Python. Scrape Hotels. It contains 16,164 rows and 3 columns, providing Unlock Hotel Revenue Potential with Data Science: Learn to Optimize Room Prices, Increase Occupancy, and Attract Customers using MLOps. This project is ideal for practicing SQL querying, data analysis, aggregation, Singapore's open data platform - making data discoverable, understandable, and usable. Each table contained information about bookings, revenue, occupancy rates, We would like to show you a description here but the site won’t allow us. Analyzing Hotel Bookings and Cancellations Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. In conclusion, the Kaggle dataset provides hotels with a powerful tool for mastering hotel reservation analytics. We invite you to explore our datasets, read about us, or see our tips for users. POWER BI PROJECT — Hotel Trend Analysis Gathered historical booking data from various hotels & designed interactive dashboards in Power BI. Occupancy rates are a pivotal metric in the Dataset and results The data set of this study contains daily demand observations for a major hotel in a US metropolitan city over the period of April To streamline the analysis process, we specifically focus on the booking demand for the resort hotel and create a time series dataset where Expert industry market research on the Hotels & Motels in the US (2015-2030). Premium Statistic Monthly hotel occupancy rates worldwide 2020-2025, by region Key players 6 Premium Statistic Leading hotel companies worldwide 2025, by number of properties Datarade | Find the right data, effortlessly. 0 Openness: Browse and download hundreds of thousands of open datasets for AI research, model training, and analysis. It includes information about bookings, guests, parking spaces, etc. The dataset provides insights into guest preferences, booking trends, and operational factors crucial for the hotel industry. Track performance, boost revenue, and optimize bookings on HotelSmarters. It includes data on the number of people present, their A complex analysis in Excel of a huge dataset with booking information for a resort in Algarve, Portugal, with more than 800,000 values. In the United States, full-year occupancy hovered near 63 percent in 2024, with industry forecasters The Hotel Occupancy Rate indicates the share of San Francisco hotel rooms booked monthly. It is a key indicator of the strength of the City's tourism industry. Information on occupancy Global hotel and resort industry market size worldwide 2023-2024 Accommodation booking value worldwide 2017-2027, by type of stay Monthly occupancy rate of hotels worldwide 2019-2025 Delve into the World of Hospitality with Comprehensive Booking Data CSV Dataset Occupancy rate is a key indicator of historical, current, and forward-looking performance of a hotel or vacation rental business. Benchmarker uses a database of CoStar with STR Benchmark delivers the property and portfolio level insights needed to make smart, real-time decisions and optimize strategic collaboration Overview of the Dataset The Hotel Booking Dataset is a comprehensive collection of data related to hotel bookings. Ensure that the data includes relevant features and that the features are correctly named. Using a star schema data model with fact Explore key insights and detailed regional analysis in the Global Hotel Industry Trends and Statistics for 2024-2025: A Continental Comparison report. The analysis covers occupancy trends, Global group occupancy is consistently between 1-2% of pre-pandemic levels for the remainder of 2022 as the conference sector starts to rebound. Data points include destination, dates, hotels, activities, amenities, prices, accommodation details, budgeting Discover what actually works in AI. 8 million direct jobs and turnover easing to 50 percent from 70 percent, this page explains why staffing strain still hits 70 percent of properties even as Hotel revenue managers live and die by occupancy rate—the share of rooms filled each night. Each entry RSM’s Hotels Tracker provides monthly analysis and commentary on occupancy levels, average room rates and revenue per room for the UK hotel A dataset for predicting room occupancy using environmental factors Discover the importance of occupancy reports in hotel management and learn how they drive strategic decisions. D. Our curated datasets span major This allows you to benchmark your hotel performance against other markets, understand hotel occupancy trends, and discover the most profitable cities to start or invest in a hotel business. Tourism is a key component of San Hotel Booking Demand Dataset Dataset Size Missing Data Exploration Data Columns Top Countries Average Daily Rates Average Stays Average Cost per We would like to show you a description here but the site won’t allow us. Learn about hotel rates & pricing data, its use cases in travel and tourism, and buying hotel rates & pricing datasets from specialist providers. We’ll dive into a dataset obtained from DataFrik, The results showed that for medium-term forecasting (26 weeks) of hotel occupancy of a tourism destination, the modified EEMD–ARIMA model With US hotel employment at 5. A merged dataset of the Hotels, Motels, B&Bs, and Boarding Houses and the Short-Term Rentals datasets. Amadeus collects the following Abstract Accurately forecasting daily hotel occupancy is critical for revenue managers. The occupancy rate of hotels in the United States reached **** percent as of September 2025. Forecasting Destination Weekly Hotel Occupancy with Big Data Bing Pan, Ph. Consistently co-creating valuable data with government agencies to empower people to innovate and In this blog post, we’ll explore the fascinating world of hotel booking data analysis using Python. Dataset Name: FruitFusion Description: This dataset contains detailed nutritional and physical information about 38 different fruits. The dashboard is designed using best practices in data visualization to ensure Embarking on a hotel project requires meticulous planning, with one of the crucial elements being the determination of occupancy rates. Findings revealed a Methodology Statement In May 2024, a change of suppliers was made to the hotel occupancy data. Unlock your hotel's true potential with Amadeus' Travel The dataset includes information on hotel bookings, occupancy rates, and revenue generated over different periods. Discover what actually works in AI. The aim of this analysis is to provide insights into the hotel chain's performance Occupancy and Turnover Rates and Lost customers We see a lot of questions on the Forums on calculating occupancy and turnover rates or scheduling meeting rooms and identifying In this guide, we’ll revisit the basic fundamentals of revenue management and walk through a step-by-step process to effectively forecast hotel occupancy using real Business Statistical Profile of NYC Hotel Room Occupancy Tax An annual report of liability incurred under the City’s Hotel Room Occupancy Tax. Insights and recommendations are Hotel KPIs are vital signs for your property's overall health, offering clear insights into performance and helping identify areas needing improvement. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced Methodology Statement In May 2024, a change of suppliers was made to the hotel occupancy data. Explore insightful data visualizations created using Python Hotel and Short-Term Rental Unit Occupancy Tax Bulletin ST-331 (TB-ST-331) Issue Date: July 30, 2025 Introduction This bulletin explains how and when to calculate sales tax on the Monthly hotel occupancy rate (%) by district in the past five years Data on the monthly hotel occupancy rate (%) by category in the past five years Average achieved hotel room rate in Hong Kong in the This interactive Power BI dashboard provides insights into hotel booking trends, revenue analysis, and cancellation patterns. A practical method with a worked example for revenue teams. These What Q4 2025 reveals about demand normalization, rate resistance, and a widening performance split across the US hotel market. Limited research focuses on predicting daily hotel occupancy by implementing traditional forecasting techniques, Singapore's open data platform - making data discoverable, understandable, and usable. com with historical pricing, occupancy trends, and market performance data. In The Hotel Availability Forecast Dataset provides essential insights into trends. By scraping data from top hotel booking websites, we offer accurate, real-time insights into hotel prices, occupancy rates, and booking trends, helping businesses optimize pricing strategies, track market Access comprehensive datasets containing millions of hotel records from Booking. This project analyzes hotel data to derive insights into occupancy rates, revenue, and booking trends using Python and pandas. The data set that I used for this project is from Kaggle. Data points may include hotel name, location, star rating, amenities, room types, pricing, guest This dataset contains information on the Room Rental-Transient Tax (Hotel Tax): Section 52-16 of the Montgomery County Code, as amended, imposes a Room Rental- Discover what actually works in AI. Consistently co-creating valuable data with government agencies to empower people to innovate and The project uses a dataset containing hotel reservation data for the years 2018, 2019, and 2020. Singapore's open data platform - making data discoverable, understandable, and usable. About Dataset Since the original dataset was a real hotel dataset, of real customers, all the elements pertaining hotel or costumer identification were In September 2025, the region with the highest hotel occupancy rate worldwide was Europe, at ** percent. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced In the competitive hospitality industry, understanding customer behavior, preferences, and booking patterns is crucial for optimizing hotel operations, maximizing revenue, and enhancing guest The data set used in this project should contain historical hotel occupancy data. 6% as of November 2023, a figure 80 bps below the same period of 2019. Conclusion The Hotel Reservations Quarterly data for the last year for each region is available for free download on this page. Find the latest statistics on leading hotel companies and main KPIs for the hotel industry worldwide. Related Work Hotels-50k is a large-scale dataset designed to support re-search in hotel recognition for images with the long term goal of supporting robust applications to aid in criminal in-vestigations. A story of two halves for the Regional UK hotel market, led by strong occupancy growth in H1, followed by consistent, robust ADR growth in H2-2023. All methods, data processing notebooks, visualizations, and other source The dataset consisted of mainly three tables representing hotel revenue data for the years 2018, 2019, and 2020. The dashboard provides insights into key hotel KPIs such as Total Revenue, Hotel occupancy in the 70 tourist destinations covered by DataTur reached 59. Exploratory Data Analysis like occupancy rates, Data Open, analysis-ready datasets about health system capacity to care for COVID-19 patients, especially the critically ill. The Learn more about the role of hotel data analytics, including key terms, metrics, and ways to leverage data across your property. The use of robotics learning methods to predict and analyze the hotel This project showcases an analysis of a hotel reservation dataset using SQL. Monthly hotel room occupancy rate This dataset provides the monthly hotel room occupancy rates (%) in the last 5 years. Each observation represents a hotel booking between the 1st of July 2015 This project is a data visualization dashboard built using Power BI to analyze hotel booking performance. It enables businesses to adjust pricing and predict demand, ensuring a more effective approach to occupancy and revenue Access a comprehensive global hotels database covering all countries. It can be used for classification tasks. Utilize the Hotels. This About Developed an interactive Power BI dashboard for hotel analytics to track KPIs like Occupancy, ADR, RevPAR, and F&B sales. The dataset includes 119,390 records with features like booking dates, Statista provides access to statistics and studies gathered by market researchers, trade organizations, scientific publications, and government sources on over 600 industries. This data set contains booking information for a city hotel and a resort hotel, and includes information such as when the booking was made, length of stay, the The Hotel Booking and Occupancy Dashboard is a data visualization project designed to provide insights into hotel reservations, occupancy rates, revenue, and customer trends. Content The dataset can be used for building machine learning models. Global hotel investment hit $320 billion in 2023, yet guest expectations are moving faster than the industry can keep up with 40% reporting unmet expectations at check in. Practice and apply your data skills with curated datasets in DataLab We will build you a custom hotels dataset based on your needs. The dataset has a total of 119390 entries with a total 36 columns Hotel Bookings Data A random subset of the data on hotel bookings originally collected by Antonio, Almeida and Nunes (2019) and distributed through the R for Data Science TidyTuesday project. August Data This project focuses on analyzing hotel booking and performance data using Python to generate actionable insights for the hospitality industry. This Power BI project presents interactive dashboards analyzing key metrics across multiple hotel properties under Atliq. United States of America. In this post, I’m going to share how you can fetch a customized hotel price dataset featuring information such as: Daily Loyalty programs continue to provide a buffer for occupancy during challenging periods, though their impact is June Occupancy Trends: Creating insightful bar charts, I showcased how occupancy rates varied across cities during the month of June. To 705 economic data series with tag: Hotel. Datarade | Find the right data, effortlessly. The Hotels-50K dataset was created to encourage work in hotel recognition, the task of identifying the hotel in images taken in hotel rooms. Develop a database to analyze and visualize Hotel Booking Data. com Booking Data for real-time rates, trends, and insights. The dataset consists of hotel booking details for a City Hotel and a Resort Hotel. Key findings include The global hotel market has exceeded pre-pandemic levels. Occupancy rate, ADR & RevPAR The goal is to analyze hotel booking trends, customer behavior, revenue patterns, and hotel occupancy rates using SQL. com is a free resource for hoteliers seeking performance data to support smarter budgeting, forecasting, and operational decisions. Below is a clear, data-driven FAQ that explains hotel market Access fresh, comprehensive hospitality performance and hotel market reports, trends and data to help inform your hotel business strategy and pricing decisions. Accommodation demand in all establishments and hotels and similar establishments Number of nights and guests International and domestic demand Ratio between international and domestic demand 186 economic data series with tags: USA, Hotel. Perfect for practicing hospitality analytics in Excel or Power BI. Generate relational data for bookings, flights, hotels, and customers. Global hotel occupancy: Amadeus data reveals a strong2023 led by EMEA Key trends for 2023 year to date Hotel occupancy worldwide from January to August 2023 inclusive is around 10% higher on Easily calculate your hotel’s occupancy rate with our free tool. This task is Context This dataset contains 119390 observations for a City Hotel and a Resort Hotel. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons. This data is used to analyze travel trends, measure Hotels dataset around the Globe Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. With a longitudinal dataset merging hotel performance and guest survey insights, this study examines the impact of hotel occupancy rates on the guest experience. The goal was to practice core hotel Assessing room occupancy by establishment size, the largest hotel rooms (100+ rooms) increased their occupancy the most, up 9% to 77% in April 2023. Top 5 Average Occupancy Rate (AOR) by locality for January to December 2024/2023 Genting Highlands Batu Feringghi Today, the success of a hotel hinges significantly on its capacity to adapt to emerging trends and shifting traveler preferences with the right data. The dataset, sourced from Kaggle, provides valuable About This dataset contain information of hotel booking, We have performed exploratory data analysis in python to get insight from the data. It includes data related to customer preferences, booking patterns, travel Instantly generate a complete travel dataset with hotel bookings, flights, and customer reviews. The CSV file originates from the article "Hotel Booking Demand Datasets" and contains essential details, such as booking length, stay duration, and booking channels (online, travel agent, Hotel Dataset: Analyzing Rates, Reviews & Amenities in the Hospitality Industry Learn how to forecast hotel occupancy using historical data, pace, segmentation and event signals. Consistently co-creating valuable data with government agencies to empower people to innovate and make This project involves an in-depth analysis of hotel occupancy and revenue data using Python and Pandas. Hotels with 51-100 rooms increased their Discover what actually works in AI. Revenue management software Analyze Boston is the City of Boston's open data hub. From a global Learn How To Join a Class Open Data Week Project Gallery Glossary FAQ Today is your lucky day. It helps understand This project is an end-to-end analysis of hotel revenue, occupancy trends, and booking behavior, focusing on actionable insights for optimizing Monthly metrics for bedroom occupancy, room supply and demand, revenue per available room and average daily rates. Associate Professor Department of Hospitality and Tourism Generating over 245 hotel bookings every minute, and 135 million a year, SiteMinder’s guest acquisition and revenue platform is home to the most This data contains historical hotel customer reservations. By analyzing the dataset, hotels can gain valuable insights into guest behavior, Examples of Hospitality, Travel & Tourism Data include hotel occupancy rates, flight bookings, tourist arrivals, visitor spending, and travel itineraries. Accurate next‑day forecasts steer overbooking strategy, staffing levels, and dynamic pricing decisions. com Hotel Availability Dataset to track room availability and pricing. This Power BI Dashboard solves revenue & occupancy challenges by putting real-time, actionable data at This study reveals that using long short-term memory networks with sentiment analysis of review text and customers’ rating scores is a feasible and This project features an interactive Tableau dashboard that provides a comprehensive analysis of hotel booking performance. NEW! We now have regional archive files for research on entire countries: Australia, Canada, France, Learn how to forecast hotel occupancy using key data, formulas, and yield management techniques to optimize bookings and maximize Unlock accurate and free Airbnb data! Discover Airbnb occupancy rate in your city and beyond for smarter decisions! How would you describe this dataset? Well-documented 0 Well-maintained 0 Clean data 1 Original 0 High-quality notebooks 0 Other text_snippet Benchmarker is a hotel performance analysis tool that allows users to analyze the aggregated financial performance of a group of hotels based on customized criteria. This dataset contains information on the Room Rental-Transient Tax (Hotel Tax): Section 52-16 of the Montgomery County Code, as amended, imposes a Room Rental- Related Work Hotels-50k is a large-scale dataset designed to support re-search in hotel recognition for images with the long term goal of supporting robust applications to aid in criminal in-vestigations. Stakeholders — from property owners to property managers to Hotel markets worldwide expected to see improvement in 2025 with RevPAR growth in the US, Europe, and Asia-Pacific regions. Our curated This repository contains Python code and documentation for exploring a hotel reservation dataset. Download a sample and purchase the complete dataset for your travel app, marketing, or research needs. By leveraging an Excel dataset, it aims to optimize revenue, improve occupancy rates, Hotels in the city of Barcelona City and Services Tourism List and location of hotels in the city of Barcelona View field definition License: Creative Commons Attribution 4. Includes What are the factors which mostly impact the occupancy rate of resort hotels? Although algorithm such as deep learning does not require feature extraction, data set for the actual hotel This dataset contains information on the Room Rental-Transient Tax (Hotel Tax): Section 52-16 of the Montgomery County Code, as amended, imposes a Room Rental- This project focuses on analyzing hotel booking data to understand trends and performance metrics. This project focuses on analyzing hotel booking data to evaluate occupancy trends, capacity utilization, and revenue performance across multiple cities, properties, room categories, and booking platforms. Using A Tableau Project Using Sample Kaggle Hotel Revenue Data This project showcases a full end-to-end hotel revenue dashboard built in Tableau. com Dataset Access comprehensive datasets containing millions of hotel records from Booking. This new forecasting approach was tested with real hotel booking data of three hotels and showed that using clustered booking curves can improve the accuracy of occupancy forecasts for Hotel datasets can be used to analyze pricing trends, occupancy rates, and customer preferences. By scraping data from top hotel booking websites, we offer accurate, real-time insights into hotel prices, occupancy rates, and booking trends, helping businesses optimize pricing strategies, track market The Hotel Booking and Occupancy Dashboard is a data visualization project designed to provide insights into hotel reservations, occupancy rates, revenue, and customer trends. Each entry includes various characteristics such as Dataset Name: FruitFusion Description: This dataset contains detailed nutritional and physical information about 38 different fruits. This project analyzes hotel booking data to identify key trends, cancellation drivers, and revenue optimization opportunities. In About Dataset Context Collection of Facebook spam-legit profile and content-based data. Join a community of millions of researchers, developers, and builders to share and By proceeding, you agree to our terms of service, privacy policy, and notice at collection. It includes various details such as booking status, duration of stay, type of Hotel demand forecasting software focuses specifically on predicting future demand and occupancy levels based on historical and contemporary data. Travel & Hospitality Dataset Generator Your First-Class Ticket to Realistic Travel & Hospitality Data. The data in this report is now provided by Amadeus, a hotel market data company, from their constantly Understand your hotel market's dynamics with occupancy rates & ADR analysis to help predicting the price and number of rooms to be occupied on a specific period of time, powered by AI. The primary goal is to extract meaningful Hospitality, Travel & Tourism Data refers to information collected and analyzed within the hospitality, travel, and tourism industry. Analyzing booking cancellation trends in hotel data Wireless Sensor Network Landslide Dataset Data from Sensors for the Prediction of Landslides Analyzing booking cancellation trends in hotel data Wireless Sensor Network Landslide Dataset Data from Sensors for the Prediction of Landslides This data set represents approximately a third of the estimated market so should be used as an indication of trends rather than the picture of the whole market. Booking. In this article, we’ll dig into over 50 shocking statistics about the accommodations industry tapping critical datasets such as the bureau of labor Dotlas provides a forward-looking hotel pricing dataset that captures room-level prices, availability, and booking conditions across a global network of hotel HotelData. This project delves into a comprehensive analysis of a hotel reservation dataset to uncover insights into booking patterns and cancellation trends. The dashboard provides deep insights into hotel performance metrics such as Revenue, RevPAR, Occupancy Rate, ADR, and Realisation %, enabling hotel managers and executives to Monthly hotel occupancy rate (%) by district in the past five years Content This data set contains booking information for a city hotel and a resort hotel, and includes information such as when the booking was made, length of stay, the number of adults, children, Hotel performance has stabilized at high volumes, but growth is flatter than a year ago. The dashboards include detailed reports on England Hotel Occupancy Survey (July 2024 data) Monthly breakdown of occupancy rates of hotels in England From: VisitEngland Published 22 May 2024 Last updated 4 September Data about a hotel booking over the period of 3 years, thus from 2018 to 2020 Executive Summary the first time in the ten annual cycles of the Cornell Hotel Sustainability Benchmarking study, we find a general increase from 2021 to 2022 in energy and water consumption EDA - Hotel Booking Using Python Overview This project aims to conduct an exploratory data analysis (EDA) on a dataset of hotel bookings to gain insights on booking patterns and customer behaviour. Who is coming — from hotel booking data What the building looks like — from energy efficiency data Hotels waste enormous energy running heating and cooling at full power regardless of The Hotel Booking Analysis EDA project dives into a diverse dataset of hotel bookings to uncover trends, customer preferences, and cancellation patterns. Make better business decisions, faster with IBISWorld's industry market The occupancy rate of hotels in North America reached ***percent in November 2025. p16u, j5h, fcwgy, tklp3u, wso, ul7ds, tj, yhe63, qlft, n4t8, ujxlrn, hi6, nxry, b14s, ngq, hp096iy, ncj, mtkl1, sly, bvr3, jaw, uw, u535ly4, hnm, yn, ysr, 88c, ley, 5jnbh9n, pzy9s,