This statistic shows the number of hotel rooms in selected cities in the United States as of ************. Of the selected cities, Las Vegas had the most hotel rooms with ******* as of ************.

Everyone's celebrating the new year! But the hotel rooms are getting quickly occupied.

This dataset contains a list of available hotel rooms for new year reservations in selected cities in Indonesia (see the list below) and is sourced from Traveloka, a renowned online travel agent platform in Indonesia.

There are two types of new year reservations in this dataset: - Check-in date: 30 December 2022, Check-out date: 2 January 2023 (3 nights) - Check-in date: 31 December 2022, Check-out date: 2 January 2023 (2 nights)

List of cities: - Jakarta - Bandung - Medan - Denpasar - Banda Aceh - Padang - Palembang - Bogor - Semarang - Yogyakarta - Solo - Surabaya

The script used to collect this dataset can be found here. Feel free to use it and adjust the reservation date but please keep the attribution (mention 'Riki Akbar' as the code author).

As always, feedback is expected.

As of mid-2025, Mexico led the list of Latin American countries with the largest number of hotel rooms under construction, with more than ****** in total. The Dominican Republic followed second by a wide margin.

Hotel email list is a database of contact information for professionals working in the hotel and hospitality industry. These lists are created for businesses that want to sell their products or services to hotels. Instead of general contacts, these lists often focus on key decision-makers who are responsible for purchasing. There are, such as general managers, hotel owners, directors of sales or marketing, and directors of food and beverage. Moreover, you don’t have to search for contacts. A pre-built list saves time. This lets your sales team focus on building relationships and closing deals. Luxury hotels often have booking systems on their websites. This makes it simple for guests to choose and reserve a room. Boutique hotels, which are small and unique, need websites that work well on phones.

Hotel email list is crucial for any business that sells to the hospitality industry. You can contact people likely to buy your product. This includes software, cleaning supplies, or amenities. You can send specific messages to them. This leads to better results and more interest. In short, this lead is a powerful tool for efficiently and effectively connecting with the hospitality industry. This helps people book rooms even when they are on the go. Resorts, which have many activities, should highlight these on their websites. So, get it now from our website, List to Data. Hotel email database is a list that shows the phone numbers of all hotel companies. This resource is just what you need. This special list includes verified phone numbers of all nationals across global, giving you direct access to this important group. Also, this isn’t just any list; it’s carefully made to help you get the best results.

Hotel email database can create marketing messages that speak directly to the community. This makes your efforts more successful and helps build trust with your audience. It’s also great for businesses looking to form partnerships, find investors, or explore new markets. Don’t waste time on general marketing that doesn’t work.

Overview The OYO Hotel Rooms Dataset provides comprehensive data on hotel room listings from OYO, covering various attributes related to pricing, amenities, and customer ratings. This dataset is valuable for researchers, data scientists, and machine learning practitioners interested in hospitality analytics, price prediction, customer satisfaction analysis, and clustering-based insights.

Data Source The dataset has been collected from publicly available OYO hotel listings and includes structured information for analysis.

Features The dataset consists of multiple attributes that define each hotel room, including:

Hotel Name: The name of the hotel property. City: The location where the hotel is situated. Room Type: Category of the room (e.g., Standard, Deluxe, Suite). Price (INR): The cost per night in Indian Rupees. Discounted Price: The price after applying discounts. Rating: The customer rating for the hotel (out of 5). Reviews: The number of customer reviews. Amenities: A list of available facilities such as WiFi, AC, Breakfast, Parking, etc. Latitude & Longitude: Geolocation details for mapping and spatial analysis. Potential Use Cases Price Prediction: Using regression models to predict hotel room pricing. Customer Sentiment Analysis: Analyzing ratings and reviews to understand customer satisfaction. Market Segmentation: Clustering hotels based on price, rating, and location. Recommendation Systems: Building personalized hotel recommendations. File Format

OYO_HOTEL_ROOMS.xlsx (Excel format) – Contains structured tabular data.

Acknowledgment This dataset is intended for academic and research purposes. The data is sourced from publicly available hotel listings and does not contain any personally identifiable information.

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.

United Kingdom rose 2% of Number of Hotels Bedrooms in 2019, compared to a year earlier.

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.

In 2022, Jamaica counted over ** thousand hotel rooms available for tourists, showing an increase of over ** percent versus the previous year's figure. The area of Montego Bay – the main tourist spot in the Caribbean country – registered *** thousand hotel rooms available after having approximately *** thousand in the previous year. Montego Bay's hotel capacity accounted for over ** percent of the island's total in 2022. In terms of hotel occupancy, nonetheless, the area of Ocho Rios led the list that year. Did Jamaican tourism recover from the impacts of COVID-19? Jamaica saw a sharp decline in the number of international tourist arrivals in 2020 and 2021 due to the COVID-19 pandemic, dropping to levels even lower than those recorded 20 years earlier. However, 2022 marked a recovery with international tourist arrivals reaching *** million, a significant increase compared to 2020 and 2021. This number nearly rivaled the pre-pandemic peak of *** million in 2018. Additionally, Jamaica's total visitor expenditure increased by over ** percent in 2022, showcasing the country's post-pandemic recovery. What is the status of Jamaica's cruise tourism? In 2022, the number of cruise passenger arrivals reached *** thousand. This represented a substantial increase of approximately *** thousand passengers compared to the previous year. Additionally, Carnival was the primary cruise line operating in Jamaica that year, and experienced a considerable increase by close to *** thousand passengers compared to 2021.

The Hotel Room Booking & Customer Orders Dataset This is a rich, synthetic dataset meticulously designed for data analysts, data scientists, and machine learning practitioners to practice their skills on realistic e-commerce data. It models a hotel booking platform, providing a comprehensive and interconnected environment to analyze booking trends, customer behavior, and operational patterns. It is an ideal resource for building a professional portfolio project from initial exploratory data analysis to advanced predictive modeling.

The dataset is structured as a relational database, consisting of three core tables that can be easily joined:

rooms.csv: This table serves as the hotel's inventory, containing a catalog of unique rooms with essential attributes such as room_id, type, capacity, and price_per_night.

customers.csv: This file provides a list of unique customers, offering demographic insights with columns like customer_id, name, country, and age. This data can be used to segment customers and personalize marketing strategies.

orders.csv: As the central transactional table, it links rooms and customers, capturing the details of each booking. Key columns include order_id, customer_id, room_id, booking_date, and the order_total, which can be derived from the room price and the duration of the stay.

This dataset is valuable because its structure enables a wide range of analytical projects. The relationships between tables are clearly defined, allowing you to practice complex SQL joins and data manipulation with Pandas. The presence of both categorical data (room_type, country) and numerical data (age, price) makes it versatile for different analytical approaches.

Use Cases for Data Exploration & Modeling This dataset is a versatile tool for a wide range of analytical projects:

Data Visualization: Create dashboards to analyze booking trends over time, identify the most popular room types, or visualize the geographical distribution of your customer base.

Machine Learning: Build a regression model to predict the order_total based on room type and customer characteristics. Alternatively, you could develop a model to recommend room types to customers based on their past orders.

SQL & Database Skills: Practice complex queries to find the average order value per country, or identify the most profitable room types by month.

The global market for luxury hotel bathrooms is projected to experience robust growth, reaching an estimated $18,500 million by 2025. This segment of the hospitality industry is characterized by a Compound Annual Growth Rate (CAGR) of approximately 6.8% from 2019 to 2033, indicating a sustained upward trajectory. This expansion is primarily fueled by increasing disposable incomes and a growing demand for premium travel experiences. Travelers are increasingly seeking opulent and well-appointed accommodations, making the bathroom a critical factor in their booking decisions. The desire for sophisticated design, high-quality fixtures, and advanced amenities is driving significant investment in this sector. Furthermore, the burgeoning tourism industry worldwide, particularly in emerging economies, contributes to the demand for upscale hotel facilities. Key market drivers include the rise of personalized travel, the emphasis on wellness and spa-like experiences within hotel rooms, and the continuous innovation in bathroom technologies and materials. Companies are responding by offering innovative products such as smart toilets, advanced shower systems, and aesthetically pleasing vanities. The market is segmented by type, with toilets, bathroom cabinets, tubs, faucets, shower heads, and sinks being prominent categories. Business hotels, vacation hotels, and theme hotels represent the primary application areas, all seeking to enhance guest satisfaction through superior bathroom offerings. While the market presents significant opportunities, potential restraints include the high cost of premium materials and fixtures, as well as economic downturns that might impact luxury travel spending. However, the long-term outlook remains highly positive due to the enduring appeal of luxury. This comprehensive report delves into the intricacies of the World Hotel Luxury Bathroom market, providing deep insights into production, segmentation, regional trends, and key players. The global market, estimated to be valued in the multi-billion dollar range, is experiencing robust growth driven by an escalating demand for opulent and technologically advanced guest experiences. We analyze the competitive landscape, identifying concentration areas and the innovative characteristics that define this segment. The report also scrutinizes regulatory impacts, the availability of product substitutes, end-user concentration, and the level of mergers and acquisitions influencing market dynamics. Furthermore, it offers detailed product insights, outlining the features and advancements in various bathroom components. The report covers a wide array of market segments, including different types of bathroom fixtures and applications across various hotel types. We also present regional insights, detailing the unique trends and growth drivers prevalent in key geographical markets. A significant portion of the report is dedicated to exploring current and emerging trends, the driving forces propelling the market forward, and the challenges and restraints that industry players must navigate. Detailed growth catalysts are identified, offering a forward-looking perspective on market expansion. Finally, the report provides a definitive list of leading players and significant developments within the Hotel Luxury Bathroom sector.

1) Data Introduction • The Hotels from Around the World Dataset provides over 1,000 hotel data (including ratings, reviews, and room rates) provided by Booking.com .

2) Data Utilization (1) Hotels from Around the World Dataset has characteristics that: • This dataset is a list of over 10 major city hotels worldwide. This includes ratings, city, country, and number of customer reviews. • This dataset was extracted on February 18, 2025 and is based on a one-night reservation from March 18-19, 2025. (2) Hotels from Around the World Dataset can be used to: • Analysis of hotel ratings and reviews : Using hotel-specific ratings and review data, it can be used for text mining and emotional analysis studies such as customer satisfaction analysis, hotel service quality assessment, and classification of positive and negative reviews. • Tourism and Location Strategy Research : It can be used for research on the tourism industry and real estate market, including comparing characteristics by popular area, location strategy, and hotel rating by analyzing various characteristics such as hotel location, rating, convenience facilities, and number of reviews.

As of February 2025, Île-de-France, the region that includes Paris, recorded the highest number of hotel rooms in France. As of that month, hotels in that region offered a total of nearly 166,000 rooms. Auvergne-Rhône-Alpes and Provence-Alpes-Côte d'Azur followed in the ranking, with over 85,000 and 74,000 hotel rooms, respectively.How many hotels are there in Paris? In 2024, the number of hotels in Paris exceeded 1,600. While three-star hotels accounted for the highest number of establishments that year, four-star hotels recorded the highest number of hotel rooms in Paris, with over 33,000 rooms. How many tourists visit Paris and Île-de-France? The City of Lights, as the French capital is nicknamed, is one of the most visited European destinations by international tourists and is also very popular among domestic travelers. In 2023, the total number of tourist arrivals to Paris and Île-de-France, including inbound and domestic visitors, reached almost 48 million, increasing over the previous year but remaining slightly below pre-pandemic levels.

The hospitality industry is booming in the last 10 years of India. It is due to growing business opportunities and IT presence in the cities of India, especially metro cities. Here the data is scrapped from MakeMyTrip booking site, which includes price and other information of hotels in different cities of the country. Data was scrapped on 19th August 2023. Only nearly 100 hotels have been added for each city. Other cities will be updated soon.

Available cities🏙️: - Bangalore - Chennai - Hyderabad - Mumbai - Delhi - Kolkata

Data Source: MakeMyTrip🔗

Data Scraping code: GitHub🔗

Columns in dataset: - Hotel Name - Rating - Rating Description - Reviews - Star rating - Location - Nearest Landmark - Distance to the Landmark - Price - Tax

Please Note: 1. Price given here is for one night (base room). 2. Tax given here is slapped on top of the price payable. Therefore, total amount = Price + Tax

Hotel Bookings Analysis

Analyzing Hotel Bookings and Cancellations

By Mesum Raza Hemani [source]

About this dataset

The Hotel Bookings dataset is a comprehensive collection of information regarding hotel bookings, cancellations, and guests' details. This dataset provides insights into various aspects such as the type of hotel, the number of adults, children and babies per booking, the length of stay in both weekend nights (Saturday or Sunday) and weekdays (Monday to Friday), the meal plan chosen by guests, their country of origin and market segment designation.

Additionally, this dataset includes significant information about reservation status and its updates. It covers whether a booking was canceled or not, the lead time between booking date and arrival date, the week number and day of arrival date. It also indicates if a guest is a repeated visitor or a new customer.

The dataset contains information related to room assignments as well. It mentions both reserved room types (the type of room initially requested) as well as assigned room types (the room actually allocated). Furthermore, it reveals any changes made to bookings along with details about previous cancellations made by guests.

Other relevant factors in this dataset are deposit type for each booking; ID numbers for travel agencies used in making reservations; days spent on waiting lists before confirmation; customer classification such as transient or group; average daily rate calculated based on lodging transactions divided by total staying nights; required car parking spaces indicated by customers; the total count of special requests made by each guest.

The provided data can facilitate analysis on several levels: studying specific hotels within different periods (including year), understanding trends across months and weeks within those years to identify preferred seasons among guests from various countries represented in terms of proportions over other nations. An examination can be conducted for differences between adult-only bookings vs family-oriented ones considering associated variables like stayed weekend/week nights for conversations around how these two groups differ when it comes to selecting their staying patterns at hotels.

This expansive dataset has great potential for an in-depth exploration into various aspects involved in hotel bookings processes while providing valuable insights for improving hotel services, optimizing operations, and understanding customer preferences

How to use the dataset

Introduction:

• Understanding the Columns:
• hotel: Type of hotel (Categorical)
• is_canceled: Whether the booking was canceled or not (Binary)
• lead_time: Number of days between booking date and arrival date (Numeric)
• arrival_date_year: The year of the arrival date (Numeric)
• arrival_date_month: The month of the arrival date (Categorical)
• arrival_date_week_number: The week number of the arrival date (Numeric)
• arrival_date_day_of_month: The day of the month of the arrival date (Numeric)
• stays_in_weekend_nights: Number of weekend nights stayed or booked to stay at the hotel (Numeric)
• stays_in_week_nights: Number of week nights stayed or booked to stay at the hotel (Numeric)

• adults, children, babies: Number of guests categorized by age groups

  • adults = Number of adults
  • children = Number of children
  • babies = Number infants

• Booking Details:

  • meal: Type(s) food option(s) included in booking package (Categorical)
  • country & market_segment & distribution_channel columns provide demographic and customer classification information.
  • is_repeated_guest column specifies whether a guest is a repeated visitor or not.
  • previous_cancellations column indicates how many previous bookings were canceled by a guest.
  • previous_bookings_not_canceled shows how many previous bookings were not canceled by a guest.

• Accommodation Details:

  • reserved_room_type column indicates which type room was originally reserved for each booking. assigned_room_type mentions which type room was finally assigned for each booking.
  • booking_changes: Number of changes made to the booking before arrival.
  • deposit_type: Type of deposit made for the booking (Categorical).
  • agent & company columns provide relevant information about the travel agency and/or company involved in making the reservation.

• Additional Information:

  • days_in_waiting_list: Number of days the booking was on a waiting list before it was confirmed or canceled.
  • customer_type provides information on types of customers (Categorical)
  • adr:...

List and geolocation of Ile-de-France hotels classified from 1 to 5 stars according to article 4 of the decree of December 23, 2009 setting the standards and the classification procedure tourist hotels

• 1 star corresponds to economic hotels
  
  • Minimum surface area of ​​a double room must be 9 m², excluding sanitary facilities. These can be private or common.
• 2 and 3 stars correspond to the middle of range
  
  • Staff who speak at least one official European language in addition to French.
  • Guaranteed reception at least ten hours a day.
  • Minimum surface area of ​​the double room is 9 m² excluding bathrooms for 2 stars and 13.5 m², bathrooms included, for 3 stars.
< li>4 and 5 stars indicate high-end and very high-end hotels

• Spacious rooms, at least 16 m², including bathrooms, in 4 stars, and 24 m² in 5 stars.
• In hotels with more than 30 rooms, reception is provided 24 hours a day.
• Two foreign languages, including English, are required in a 5-star hotel.
• Room service.< /li>
• Accompaniment to the room.
• Possibility of dining at the hotel.
• Other advantages characterize the 5 stars, such as valet parking, a concierge service as well as specific amenities in the rooms such as a safe and Internet access.
• Air conditioning required.

Data from June 23, 2017, geocoded with the National Address Base (BAN)

Punch List Software for Hotel Projects Market Outlook

According to our latest research, the Punch List Software for Hotel Projects market size was valued at $512 million in 2024 and is projected to reach $1.18 billion by 2033, expanding at a robust CAGR of 9.7% during the forecast period of 2025–2033. One major factor propelling the growth of the Punch List Software for Hotel Projects market globally is the accelerated digital transformation in the hospitality construction sector, driven by the need for efficient project delivery, stringent quality standards, and increasing complexity of hotel development projects. The integration of advanced software solutions has become indispensable for streamlining project management, ensuring compliance, and enhancing communication among stakeholders, which collectively fuels market expansion.

Regional Outlook

North America currently commands the largest share in the global Punch List Software for Hotel Projects market, accounting for approximately 38% of the total market value in 2024. This dominance is attributed to the region’s mature hospitality and construction industries, widespread adoption of digital project management tools, and a strong focus on quality assurance and regulatory compliance. The United States, in particular, is home to numerous leading software providers and hotel chains that prioritize advanced project tracking and automation, further stimulating market growth. The presence of well-established IT infrastructure and a culture of early technology adoption have enabled North American hotel project managers and contractors to leverage punch list software for improved operational efficiency, reduced project delays, and enhanced guest satisfaction.

The Asia Pacific region is anticipated to be the fastest-growing market, exhibiting a CAGR of 12.4% from 2025 to 2033. This rapid growth is primarily driven by the booming hospitality sector in emerging economies such as China, India, and Southeast Asian countries, where significant investments in hotel construction and renovation projects are underway. The increasing influx of international tourists, coupled with rising urbanization and government initiatives to boost tourism infrastructure, is fueling demand for efficient project management solutions. Additionally, the shift toward cloud-based deployment and mobile accessibility is making punch list software more accessible to a broader range of stakeholders, further accelerating adoption rates across the region.

In emerging economies across Latin America and the Middle East & Africa, the adoption of Punch List Software for Hotel Projects is gradually gaining momentum, though challenges persist. Issues such as limited IT infrastructure, budget constraints, and a lack of awareness regarding the benefits of digital project management tools have slowed adoption rates. However, as international hotel chains expand into these regions and local governments emphasize quality standards and compliance, there is a growing recognition of the value offered by punch list software. Policy reforms aimed at enhancing construction quality and safety are expected to further drive market penetration, albeit at a slower pace compared to more developed regions.

Report Scope

List of hotel, non-hotel and complementary facilities. In particular, the list of hotels, tourist-hotel residences, entrepreneurial and non-entrepreneurial holiday homes and apartments (CAV), inns, Lombard guesthouses, agritourism accommodation, holiday homes, youth hostels, fixed bivouacs, mountains, campsites, tourist villages, other collective accommodation establishments, bed & breakfasts, other private accommodation. All the characteristics of the structures and the services they offer are included.

Number of Hotel Rooms: Kerala data was reported at 16,750.000 Unit in 2020. This records a decrease from the previous number of 17,904.000 Unit for 2019. Number of Hotel Rooms: Kerala data is updated yearly, averaging 11,114.000 Unit from Dec 2004 (Median) to 2020, with 13 observations. The data reached an all-time high of 17,904.000 Unit in 2019 and a record low of 3,799.000 Unit in 2013. Number of Hotel Rooms: Kerala data remains active status in CEIC and is reported by Ministry of Tourism. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHA004: Number of Hotel Rooms: by States.

List of hotel accommodation facilities in the municipal territory including data on accessible tourism.