Ask your question


What Is Tourism Data?

Tourism data is the collection of information about tourism in a specific country or region. People usually organize the data into inbound or outbound travel and track flights, car rentals, hotel stays, visits to attractions, and more.

Where Does Tourism Data Come From?

The United Nations World Tourist Organization (UNWTO) is one of the largest providers of tourism data, with a focus on sustainable and accessible tourism. The UNWTO tracks tourist arrivals, departures, and spending worldwide, with data going back decades.

Aside from UNWTO, different public and private services collect tourist data. These data providers include border control, public and private transport companies. Additionally, tourism-dependent companies like restaurants, hotels, and others contribute to tourism data.
Finally, banks and other financial institutes record data on travel expenditure by traveler, receipts as share of exports, and more.

What Types of Columns/Attributes Should I Expect When Working With This Data?

Common attributes of tourism data include domestic and foreign arrivals and departures, traveler expenditures, national revenue generated from the industry, and the number of local residents working in the industry, the capacity and demand for accommodations. Additional attributes of this data may also include current events and seasons which affect regional or global tourism.

What is This Data Used For?

State and private institutions use this information to make funding and worker benefits decisions. Advertisers also use data on capacity, demand, and previous travel statistics about a location to advertise to different population segments. Future travel and tourism trends can also be predicted, enabling those in the industry to capitalize on trends and address tourist needs almost instantaneously.

For these other data sources, the most important factor in measuring data quality is the comparability of the data over time.

How Should I Test the Quality of Tourism Data?

Filtering quality data from the abundance of information is always a difficult task. A tourism database should be built on diverse sources of information but rely predominantly on figures from official tourism sources such as UNWTO, border control, and ministries of tourism, guaranteeing validity and accuracy of information.

What Are the Most Important Factors I Should Vet When Selecting This Data?

You should consider the information sources, the frequency of database updates, and the combination of other types of information.

While not crucial, tourism analytics can tip the scales in favor of a certain provider. Travel intent data then helps predict future travel volume, expenditure, and identification of tourist trends.

Interesting Case Studies and Blogs to Look Into

Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer
How Big Data Technologies Can Improve Tourism

Tangible Examples of Impact

With the use of predictive analytics modeling and IoT in the form of Alexa Skills, KAYAK has set a new benchmark for other companies in the travel industry. Users can use a simple voice query like, “Alexa, ask KAYAK where can I go on vacation in October for $1000” to get a list of viable holiday options with the necessary constraints applied. KAYAK integrated with Alexa Skills helps users to track flights, book hotels and search for holiday options.

United Airlines shows a “collect and analyze” approach to their data. The company tracks customer behavior using real-time data with more than 150 variables, including individual and general historical data. This large dataset forms the input for detailed customer segmentation and adaptive UX/UI designs in real time according to the category a particular user belongs to.

Big Data in Tourism: How Big Data Analytics can Help the Travel and Tourism Industry Grow

Relevant datasets

Apontador Mais


Apontador Mais increases its client’s visibility on search engine results pages.

0 (0)   Reviews (0)

AllTheRooms Solutions for Property Managers

by AllTheRooms

AllTheRooms Property Manager solutions provides access to short-term rental database to grow property management business.

0 (0)   Reviews (0)

AllTheRooms Solutions for Vacations Rental Hosts

by AllTheRooms

AllTheRooms Vacations Rental Host solutions provides access to short-term rental database to analyze the short-term rental market.

0 (0)   Reviews (0)

Similar Data Providers

  • The Arabesque GroupThe Arabesque Group
    5 (1)
    Reviews ()
    Data sets (4)
    Established in 2013, the Arabesque Group is a leading global financial technology company that combines AI with environmental, social and governance (ESG) data to assess the performance and sustainability of corporations worldwide. In addition to their Asset Management consultation service, the groups offers Arabesque S-Ray GmbH and Arabesque AI Ltd. datasets.
  • Black Box Intelligence Consumer IntelligenceBlack Box Intelligence Consumer Intelligence
    5 (1)
    Reviews ()
    Data sets (0)
    Black Box Intelligence Consumer Intelligence is designed to provide detailed analysis on individual competitor sales and performance data.
  • Home by VendigiHome by Vendigi
    4.3 (3)
    Reviews (1)
    Data sets (1)
    Home by Vendigi provides audience data for all things home buyers, remodelers, and sellers. Their data comes from first-party sources like top multiple listing systems (MLSs) major brokers like RE/MAX, Coldwell Banker, Century 21, and Sotheby's. Users of Vendigi's Home data range from home and garden retailers to insurance institutions to telecom companies.