Refer to the systematic collection, analysis, and interpretation of data related to travel and tourism activities, used to understand how visitors move, spend, and interact with destinations and services. Within tourism economics and policy, these data form the evidence base for decision-making: they quantify visitor arrivals and departures, length of stay, expenditure patterns, market segments, and the economic contribution of tourism to local and national economies. Robust measurement underpins tourism satellite accounts, demand forecasting, infrastructure planning, and the evaluation of marketing campaigns and policy interventions.
In practice, tourism data are drawn from a mosaic of sources: border and immigration records, household and visitor surveys, accommodation occupancy reports, transport statistics, credit card spending, and increasingly, big data such as mobile positioning and online booking platforms. Governments, destination management organizations, hotel groups, airlines, and investors rely on these figures to assess seasonality, identify priority source markets, manage overtourism risks, and design incentives that support sustainable growth. When harmonized with international standards, they also enable meaningful comparisons between destinations, supporting regional cooperation, benchmarking, and long-term strategic planning across the global travel economy.
Example: “By examining recent tourism statistics, the coastal region adjusted its strategy to attract higher-spending visitors during the shoulder seasons.”
Synonyms: visitor data, travel metrics, tourism data analytics, tourism demand indicators, visitor statistics.
