In 2024, the total contribution of travel and tourism to the global gross domestic product (GDP) amounted to **** trillion U.S. dollars. This figure, which includes the direct, indirect, and induced impact of the global travel and tourism market, represented an increase in total contribution to GDP of *** percent over 2019. As forecast, the total contribution of the travel and tourism sector to the global GDP was expected to reach **** trillion U.S. dollars in 2025. Which countries record the highest travel and tourism contribution to GDP? GDP is the total value of all goods and services produced in a country in a year. It is considered an important indicator of a country's economic strength, and a positive change in GDP is a sign of economic growth. Both before and after the impact of COVID-19, the United States and China were by far the leading travel markets based on the total contribution of travel and tourism to GDP, followed by Germany, Japan, and the United Kingdom. What are the most visited countries in the world? In 2023, France was the country with the highest number of international tourist arrivals worldwide, welcoming 100 million international visitors. While the United States reported the third-highest number of inbound tourist arrivals that year, it was the destination with the highest international tourism receipts worldwide, ranking ahead of Spain and the United Kingdom.

Contributing a staggering *** trillion U.S. dollars to China’s GDP in 2023, the travel and tourism industry proved to be a vital industry for the East Asian country’s economy. This pivotal industry provided huge GDP contributions to a number of countries across the Asia-Pacific region. Japan and India both saw impressive figures, while Southeast Asia alone has experienced constant GDP increases from the travel and tourism industry. Why Asia-Pacific The travel and tourism industry has made significant monetary additions to many developing economies throughout the Asia-Pacific region. Southeast Asia stands in the foreground as one of the regions which relies heavily on its tourism success. A success which could be inferred through the rising number of tourist arrivals to the ASEAN states. A likely reason why APAC has become one of the leading regions for tourism, could be related to its competitive prices. Many countries in the Asia-Pacific region are cheaper than the usual Western tourist hotspots, in this way, the region has begun to appeal to an increasing number of international travelers. Domestic tourism The Asia-Pacific region has not only attracted international tourists throughout recent years but has also received a great influx of domestic tourists. Growing economies in the region, resulting in an emerging middle class, have made the possibility of increased domestic travel a reality. Intra-regional tourism accounted for approximately half of APAC’s tourism.

Sri Lanka Tourism Contribution: GDP data was reported at 2.500 % in 2023. This records an increase from the previous number of 0.800 % for 2020. Sri Lanka Tourism Contribution: GDP data is updated yearly, averaging 3.400 % from Dec 2018 (Median) to 2023, with 4 observations. The data reached an all-time high of 4.900 % in 2018 and a record low of 0.800 % in 2020. Sri Lanka Tourism Contribution: GDP data remains active status in CEIC and is reported by Sri Lanka Tourism Development Authority. The data is categorized under Global Database’s Sri Lanka – Table LK.Q007: Tourism Receipts.

In 2023, the travel and tourism sector in the United States contributed approximately 2.36 trillion U.S. dollars to gross domestic product (GDP). This figure saw growth over the pre-pandemic levels of 2019 when the travel and tourism sector contributed 2.27 trillion U.S. dollars to the North American country's economy.

As one of the Asia-Pacific region's leading industries, the travel and tourism sector in China provided over ** million jobs in 2023. Likewise, a high number of jobs were also generated in India thanks to the travel and tourism market, with about ** million jobs. In fact, many Asia-Pacific countries made the worldwide ranking for the most jobs produced by the travel and tourism industry. Economic contribution Through the generation of more jobs and increased levels of affluence in many Asia-Pacific countries, citizens now have more money to be able to travel. Domestic and intra-regional travel has created a positive impact on the economy, as overall domestic tourism expenditure has increased, prevalent especially in Southeast Asia. The travel and tourism industry also made significant contributions towards the GDPs of Asia-Pacific countries. As many countries depend on the industry to maintain and stimulate their economies, they are making it easier for travelers to gain access to their countries through relaxing visa requirements and introducing cheaper airlines. The future of tourism The Asia-Pacific region has adapted to the current demands of travelers, who increasingly wish for more environmentally friendly methods of travel. Regarding the environmental footprint, the contributions of travel and tourism in the region to the total greenhouse gas emissions has slightly increased year-over-year since 2021, but stayed below ** percent. The most sustainable travel destinations in APAC were Goyang, South Korea and Singapore, according to the sustainability index. APAC proved itself in terms of growing popularity, as the region demonstrated high tourist arrivals.

Dataset Overview 📝

This dataset includes key tourism and economic indicators for over 200 countries, spanning the years from 1999 to 2023. It covers a wide range of data related to tourism arrivals, expenditures, receipts, GDP, unemployment, and inflation, helping to explore the relationship between tourism and economic growth globally.

Tourism & Economic Indicators:

• tourism_receipts 💰: The total income a country generates from international tourism, measured in current US dollars.
• tourism_arrivals 🌍: The total number of international tourists who arrive in a country, measured in count.
• tourism_expenditures 🛍️: The amount of money spent by international tourists within the country, measured in current US dollars.
• tourism_exports 📈: The percentage of a country’s total exports derived from international tourism receipts.
• tourism_departures ✈️: The number of citizens or residents of a country who travel abroad for tourism.
• tourism_expenditures 🛫: The percentage of a country’s total imports spent on international tourism.
• gdp 📊: The total value of all goods and services produced in a country, expressed in current US dollars.
• inflation 📉: The annual percentage change in the average price of goods and services in a country.
• unemployment 👷‍♂️: The percentage of people within the labor force who are unemployed but actively seeking work.

Data Source 🌐

• World Bank: The dataset is sourced from the World Bank’s economic and tourism databases, offering reliable and up-to-date statistics on global tourism and economic indicators.

Potential Use Cases 🔍

• Tourism & Economic Impact Analysis 🌏: Analyzing the contribution of tourism to a country’s GDP, as well as how tourism spending impacts national economies.
• Cross-Country Comparison 📊: Comparing tourism arrivals, expenditures, and receipts relative to GDP and unemployment across countries and regions.
• Predictive Modeling 🤖: Building models to predict the future impact of tourism on economic growth and identify emerging trends.
• Policy Evaluation 🏛️: Helping policymakers assess the role of tourism in economic planning, especially regarding inflation and unemployment.
• Economic Forecasting 📈: Using historical data to forecast how tourism will influence economic conditions, helping in the development of economic policies.

Key Questions You Can Explore 🤔

• How do tourism receipts correlate with GDP growth in different countries? 💵
• What is the relationship between tourism expenditure and inflation rates? 📉
• How do tourism arrivals and departures vary by region and what are the key drivers? 🌍
• What role does tourism play in shaping unemployment rates across countries? 👥
• Which countries have seen the largest increase in tourism receipts over the past two decades? 📊

Important Notes ⚠️

• Missing Data 🚨: Some values may be missing for certain years or countries, especially for specific tourism indicators. Techniques like forward filling, backward filling, or interpolation may help in handling missing values during time series analysis.
• Currency & Inflation Adjustments 💲: When comparing tourism receipts and expenditures across countries, consider adjusting for inflation and exchange rates to ensure accurate year-on-year comparisons.

This dataset presents key tourism indicators and official statistics for Cambodia in 2024. It includes data on international and domestic tourist arrivals, outbound tourists, the number of tourism establishments and accommodations, international tourism receipts, direct tourism employment, and the tourism sector’s contribution to the Gross Domestic Product (GDP). The dataset provides valuable insights into the scale, growth, and economic impact of Cambodia’s tourism industry in 2024.

The European System of Accounts does not include the production of the tourism sector as such. The need to characterise the tourism industry and assess its contribution to the entire economic activity, justifies the statistical operation called Tourism Satellite Account. It analyses tourism as an economic phenomenon from supply and demand, elaborates the main macromagnitudes of the sector for the Basque Country, and calculates the evolution of its weight compared to Gross Domestic Product at market prices.

In 2022, the tourism industry contributed around **** percent to Thailand's GDP, which increased from the previous year. In that same period, the total value of Thailand's GDP was almost ************ billion U.S. dollars. ​ Thailand's tourism industry has been heavily affected by the COVID-19 pandemic. However, it is currently recovering after the government relaxed COVID-19 regulations and promoted tourism. The economic contribution of travel and tourism in Thailand Thailand is recognized as one of the most popular tourist destinations worldwide. ​Travel and tourism play a significant role in supporting Thailand's economy. In 2022, these industries' contribution to the country’s GDP reached over one trillion Thai baht. Thailand's tourism industry also provided nearly ***** million jobs in the country, ranking fifth in terms of the highest number of people employed in the tourism industry in the Asia-Pacific region in 2022. Inbound tourism in Thailand Thailand's economy relies heavily on international tourism. The tourist economy of the country has been recovering steadily since the country allowed international tourist arrivals again in 2022. In 2023, Thailand welcomed around ** million international tourists, which was more than double the previous year. ​In that same year, the total revenue generated by international tourist arrivals in the country reached more than one hundred billion Thai baht on a nearly monthly basis, giving the country a total revenue of over one trillion Thai baht for the entire year.

Abstract This paper analyzes the economic impact of the COVID-19 pandemic on a small tourism dependent open economy. The lockdown affected both the demand side and the supply side of the economy, as production of goods and services dramatically dropped due to firms’ shutdowns, broken supply chains, or bankruptcies, and aggregate demand diminished due to lower consumer confidence and investment cutbacks, accompanied by a dramatic fall in international tourism demand, in particular due to travel restrictions. We look on these supply and demand changes through the lens of a macroeconomic model of a small open economy, comprising an industrial and a tourism sector. For this purpose, we modify Schubert’s (2013) model by introducing a multiple shock which reflects (i) reduced sectoral productivities due to, e.g., broken supply chains, (ii) a drop in employment due to firms’ lockdowns, and (iii) a sharp decline in international tourism demand. We find that the multiple shock leads to an immediate drop in GDP and a boost of the short-run unemployment rate, followed by a gradual transition back to steady state. The adverse effects on the tourism sector are the more severe the slower international tourism demand reverts to pre-crisis levels, but they do not strongly spill over to the industrial sector. Furthermore, even if international tourism demand recovers quickly, the effects on the industrial sector barely change. The length of the industrial sector’s recovery basically depends on the speed of restoring its sectoral productivity rather than on international tourism demand. The reason for this result can be found in the absorbing effect of the relative price of tourism services in terms of the industrial good.

Tourism Revenues in Greece decreased to 3421.30 EUR Million in September from 4523.70 EUR Million in August of 2025. This dataset provides - Greece Tourism Receipts- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The total contribution of travel and tourism to Denmark's gross domestic product (GDP) in 2023 amounted to over 180 billion Danish kroner, which was an increase from 2021 with 65.6 billion. It was also an increase from the pre-pandemic period.

This research project determined the impact of Arizona Highways Magazine (AHM) and its branded products on Arizona’s tourism and economy in order to better inform future business decisions by the Arizona Department of Transportation (ADOT) and AHM. The study examined the influence of the AHM brand—the magazine, its related retail products, the privately produced television program, and the AHM Facebook page—on tourism to Arizona from out-of-state visitors and within Arizona by in-state residents. The researchers determined trip characteristics of Arizona travelers influenced by AHM-related products and services, and estimated AHM’s impact on travel and, therefore, on the state’s economy.

An in-depth study of the mechanisms governing the generation, evolution, and regulation of differences in tourism economics holds significant value for the rational utilization of tourism resources and the promotion of synergistic tourism economic development. This study utilizes mathematical statistical analysis and GIS spatial analysis to construct a single indicator measure and a comprehensive indicator measure to analyze tourism-related data in the research area from 2004 to 2019. The main factors influencing the spatial and temporal differences in the tourism economy are analyzed using two methods, namely, multiple linear regression and geodetector. The temporal evolution, overall differences and differences within each city group fluctuate downwards, while the differences between groups fluctuate upwards. Domestic tourism economic differences contribute to over 90% of the overall tourism economic differences. Spatial divergence, the proportion of the tourism economy accounted for by spatial differences is obvious, the comprehensive level of the tourism economy can be divided into five levels. The dominant factors in the formation of the pattern of spatial and temporal differences in the tourism economy are the conditions of tourism resources based on class-A tourist attractions and the level of tourism industry and services based on star hotels and travel agencies. This study addresses the regional imbalance of tourism economic development in city clusters and with the intent of promoting balanced and high-quality development of regional tourism economies.

In 2024, Panama was estimated to be the most tourism-dependent economy in Latin America, with the sector accounting for 15.3 percent of its gross domestic product (GDP). El Salvador followed in the ranking that year, with a share of tourism contribution to GDP above 15 percent too.

China’s tourism economy has experienced significant regional disparities. However, little attention has been paid to understanding the intricate mechanisms through which the interplay of influential factors gives rise to such disparities. Utilizing statistical data from the tourism economy of 31 provinces in mainland China, this study investigates regional tourism economic disparity through the asymmetric modeling of fuzzy set qualitative comparative analysis (fsQCA). The findings reveal that the causes of regional tourism economic disparity exhibit asymmetry; varying approaches contribute to the formation of high and low levels of tourism economy; the functioning of the most influential factors is impacted by other antecedent conditions, presenting an asymmetric non-linear effect; favorable transportation convenience is a necessary condition for a high level of tourism economy, while poor tourism attraction is a necessary condition for a low level of tourism economy. This research not only introduces a fresh perspective on regional tourism economic disparities, enabling an in-depth comprehension of the complex interactions and nonlinear functional mechanisms of influential factors, but also explores a region-based tourism development model, offering valuable practical guidance for policymakers in the tourism sector.

Background [Extract from Related publication]: Global estimates of the economic value of coral reefs have been made using benefit transfer and other valuation methods, but it is unclear whether these estimates match actualized values (e.g. market values of reef fish and reef tourism) or how they scale to specific regions. Here we empirically estimated the (actualized) direct economic contribution of fishing and tourism on coral reefs (i.e., direct use values) in the Asia-Pacific (APAC) region, which includes a majority (~80%) of the global reef area.

Methods [Extract]: We analyzed and estimated the contribution of each country’s direct use values associated with coral reefs to gross domestic product (GDP). We then compared out findings to global estimates of the value of tourism and fishing on reefs. We focused on direct use values for which regional open-access data exist: fishing (Pauly, 2007; Pauly et al., 2020) and tourism (Spalding et al., 2017). Other direct use values were excluded due to limitations imposed by data availability, most notably for using coral reefs as building materials, a source of aquarium fish, ornamentals from dead coral and seashells, and pharmaceuticals. Our final estimates are thus considered a conservative estimate of the direct economic contributions of fisheries and tourism on reefs.

Data sources acknowledgement:

1. Pauly D., Zeller D., Palomares M.L.D. (Editors), 2020. Sea Around Us Concepts, Design and Data (seaaroundus.org).
2. Spalding, M., Burke, L., Wood, S.A., Ashpole, J., Hutchison, J., zu Ermgassen, P., 2017. Mapping the global value and distribution of coral reef tourism. Marine Policy 82, 104–113. https://doi.org/10.1016/j.marpol.2017.05.014

This dataset consists of:

• 1 MS Excel file (6 worksheets) containing input data and calculation of economic reef parameters used in analysis
• 1 zip archive containing 64 Excel files i.e. Sea Around Us data on fish stocks (summary files and files for 63 countries) extracted for further analysis.

MS Excel worksheets have also been saved and archived in OpenDocument (.ods) format.

An extensive data summary is available in the Open Access publication from the Related publications link below.

The absolute economic contribution of tourism in the United Arab Emirates was forecast to continuously increase between 2024 and 2029 by in total **** billion U.S. dollars (+***** percent). After the ninth consecutive increasing year, the economic contribution is estimated to reach **** billion U.S. dollars and therefore a new peak in 2029. Depited is the economic contribution of the tourism sector in the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the absolute economic contribution of tourism in countries like Kuwait and Saudi Arabia.

Tourism is one of the most important promoters of sustainable development in many nations and regions around the globe. Tourism expansion has been a significant contributor to social and economic growth, particularly in developing economies. It is, however, vulnerable to all kinds of health crises and natural disasters, no matter how small they are. The primary purpose of this study is to acquire an empirical understanding of the effects of health crises and disasters on international tourism. The SYS-GMM was used to examine the impact of health calamities and crises, carbon footprints from transportation, and green finance on the tourism of 51 countries between 2007 and 2020. The results showed that health crises and natural disasters have a big effect on international tourism. Alternatively, the presence of eco-friendly and secure transportation at tourist destinations has a positive effect on the tourism industry. The results also showed that environmental expenditures have positive short- and long-term effects on international tourism. Furthermore, the sensitivity of travelers to health crises and natural disasters varies over the short and long term. The study also showed that compared to normal times, international tourism dropped by more than 67% during COVID-19. Consequently, this research assists us in comprehending, predicting, and preventing the potential adverse effects of COVID-19 and other similar economic, health disasters and crises that could occur in the future and harm the tourism industry.