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.

All India Hotel Database – Verified & Updated Hospitality DirectoryThe All India Hotel Database is a comprehensive and regularly updated directory of hotels across India. This verified database is perfect for travel agencies, tour operators, hospitality service providers, corporate travel planne...

India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels data was reported at 42.800 % in 2018. This records a decrease from the previous number of 45.000 % for 2017. India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels data is updated yearly, averaging 47.300 % from Mar 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 50.400 % in 2005 and a record low of 42.800 % in 2018. India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHB016: Indian Hotel Industry Survey: Percentage of Repeat Hotel Guests.

This dataset includes replication data for the paper: " Sann, R. and Lai, P.-C. (2021), "Do expectations towards Thai hospitality differ? The views of English vs Chinese speaking travelers", International Journal of Culture, Tourism and Hospitality Research, Vol. 15 No. 1, pp. 43-58. https://doi.org/10.1108/IJCTHR-01-2020-0010".

The dataset contains locations and attributes of Hotels, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the DC Taxi Commission (DCTC) and research at various commercial websites identified Hotels and DC GIS staff geo-processed the data.

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.

Comprehensive dataset containing 99,198 verified Hotel businesses in United States with complete contact information, ratings, reviews, and location data.

The global hotel occupancy rate reached 68 percent in September 2025. The highest rates that year were recorded in July and August, at 71 percent, respectively.

Data was collected from From June 15th, 2017 to June 25th, 2017 from the official TripAdvisor website, which is known as one of the largest travel community in the world. So as to allow for more consistency, only hotels with a final score of over 100 were selected. Two hundred and forty-seven hotels located in Barcelona, Spain, were selected for this research.

It can be cited as: Pesantez, Jessica (2018), “Visualizing online-hotel reputation in Barcelona through a robust compositional regression model and a principal component analysis (PCA)”, Mendeley Data, v2

India IHIS: Percentage of Repeat Hotel Guests: Less than 50 Rooms data was reported at 42.600 % in 2018. This records a decrease from the previous number of 44.800 % for 2017. India IHIS: Percentage of Repeat Hotel Guests: Less than 50 Rooms data is updated yearly, averaging 46.600 % from Mar 2000 (Median) to 2018, with 19 observations. The data reached an all-time high of 51.100 % in 2005 and a record low of 25.000 % in 2000. India IHIS: Percentage of Repeat Hotel Guests: Less than 50 Rooms data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHB016: Indian Hotel Industry Survey: Percentage of Repeat Hotel Guests.

Netherlands Number of Hotel Guests: Foreigner: America: Canada data was reported at 19.000 Person th in Aug 2018. This records a decrease from the previous number of 21.000 Person th for Jul 2018. Netherlands Number of Hotel Guests: Foreigner: America: Canada data is updated monthly, averaging 13.000 Person th from Jan 2012 (Median) to Aug 2018, with 80 observations. The data reached an all-time high of 22.000 Person th in May 2017 and a record low of 5.000 Person th in Feb 2013. Netherlands Number of Hotel Guests: Foreigner: America: Canada data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.

Netherlands Number of Hotel Guests: Foreigner: Asia: Others data was reported at 34.000 Person th in Apr 2018. This records an increase from the previous number of 29.000 Person th for Mar 2018. Netherlands Number of Hotel Guests: Foreigner: Asia: Others data is updated monthly, averaging 21.000 Person th from Jan 2012 (Median) to Apr 2018, with 76 observations. The data reached an all-time high of 40.000 Person th in Aug 2017 and a record low of 9.000 Person th in Feb 2012. Netherlands Number of Hotel Guests: Foreigner: Asia: Others data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.

Netherlands Number of Hotel Guests: Foreigner: America: Brazil data was reported at 13.000 Person th in Aug 2018. This records a decrease from the previous number of 18.000 Person th for Jul 2018. Netherlands Number of Hotel Guests: Foreigner: America: Brazil data is updated monthly, averaging 11.000 Person th from Jan 2012 (Median) to Aug 2018, with 80 observations. The data reached an all-time high of 18.000 Person th in Jul 2018 and a record low of 7.000 Person th in Mar 2016. Netherlands Number of Hotel Guests: Foreigner: America: Brazil data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.

Netherlands Number of Hotel Guests: Foreigner: Europe: Poland data was reported at 18.000 Person th in Apr 2018. This records an increase from the previous number of 15.000 Person th for Mar 2018. Netherlands Number of Hotel Guests: Foreigner: Europe: Poland data is updated monthly, averaging 10.000 Person th from Jan 2012 (Median) to Apr 2018, with 76 observations. The data reached an all-time high of 18.000 Person th in Apr 2018 and a record low of 5.000 Person th in Dec 2012. Netherlands Number of Hotel Guests: Foreigner: Europe: Poland data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.

Netherlands Number of Hotel Guests: Foreigner: Europe: Romania data was reported at 8.000 Person th in Apr 2018. This records a decrease from the previous number of 9.000 Person th for Mar 2018. Netherlands Number of Hotel Guests: Foreigner: Europe: Romania data is updated monthly, averaging 5.000 Person th from Jan 2012 (Median) to Apr 2018, with 76 observations. The data reached an all-time high of 9.000 Person th in Mar 2018 and a record low of 2.000 Person th in Jan 2012. Netherlands Number of Hotel Guests: Foreigner: Europe: Romania data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.

Netherlands Number of Hotel Guests: Foreigner: Oceania: Australia data was reported at 10.000 Person th in Apr 2018. This records an increase from the previous number of 7.000 Person th for Mar 2018. Netherlands Number of Hotel Guests: Foreigner: Oceania: Australia data is updated monthly, averaging 11.000 Person th from Jan 2012 (Median) to Apr 2018, with 76 observations. The data reached an all-time high of 27.000 Person th in Jul 2017 and a record low of 4.000 Person th in Feb 2013. Netherlands Number of Hotel Guests: Foreigner: Oceania: Australia data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.

Netherlands Number of Hotel Guests: Foreigner: Europe: Lithuania data was reported at 3.000 Person th in Apr 2018. This records an increase from the previous number of 2.000 Person th for Mar 2018. Netherlands Number of Hotel Guests: Foreigner: Europe: Lithuania data is updated monthly, averaging 1.000 Person th from Jan 2012 (Median) to Apr 2018, with 76 observations. The data reached an all-time high of 3.000 Person th in Apr 2018 and a record low of 1.000 Person th in Jan 2018. Netherlands Number of Hotel Guests: Foreigner: Europe: Lithuania data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.

Netherlands Number of Hotel Guests: Foreigner: Asia: Japan data was reported at 14.000 Person th in Apr 2018. This records an increase from the previous number of 12.000 Person th for Mar 2018. Netherlands Number of Hotel Guests: Foreigner: Asia: Japan data is updated monthly, averaging 11.000 Person th from Jan 2012 (Median) to Apr 2018, with 76 observations. The data reached an all-time high of 19.000 Person th in May 2013 and a record low of 6.000 Person th in Jan 2015. Netherlands Number of Hotel Guests: Foreigner: Asia: Japan data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.

Netherlands Number of Hotel Guests: Foreigner: Europe: Spain data was reported at 43.000 Person th in Sep 2018. This records a decrease from the previous number of 56.000 Person th for Aug 2018. Netherlands Number of Hotel Guests: Foreigner: Europe: Spain data is updated monthly, averaging 35.000 Person th from Jan 2012 (Median) to Sep 2018, with 81 observations. The data reached an all-time high of 56.000 Person th in Aug 2018 and a record low of 19.000 Person th in Feb 2013. Netherlands Number of Hotel Guests: Foreigner: Europe: Spain data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.

Netherlands Number of Hotel Guests: Foreigner: Europe: Croatia data was reported at 2.000 Person th in Apr 2018. This stayed constant from the previous number of 2.000 Person th for Mar 2018. Netherlands Number of Hotel Guests: Foreigner: Europe: Croatia data is updated monthly, averaging 1.000 Person th from Jan 2014 (Median) to Apr 2018, with 52 observations. The data reached an all-time high of 2.000 Person th in Apr 2018 and a record low of 1.000 Person th in Jan 2018. Netherlands Number of Hotel Guests: Foreigner: Europe: Croatia data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.Q002: Number of Guests: Hotel: by Country: by National Recreation & Tourism Standard.