Tourist Arrivals in the United States increased to 6893068 in August from 6275257 in July of 2025. This dataset provides - United States Tourist Arrivals- actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States US: International Tourism: Number of Departures data was reported at 73,453,000.000 Person in 2015. This records an increase from the previous number of 68,176,000.000 Person for 2014. United States US: International Tourism: Number of Departures data is updated yearly, averaging 61,061,000.000 Person from Dec 1995 (Median) to 2015, with 21 observations. The data reached an all-time high of 73,453,000.000 Person in 2015 and a record low of 51,285,000.000 Person in 1995. United States US: International Tourism: Number of Departures data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Tourism Statistics. International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveling. Thus a person who makes several trips from a country during a given period is counted each time as a new departure.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;

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 provides a detailed inventory of tourist attractions in the United States, India, and Iran, gathered through an extensive crawl of Google Maps. It encompasses essential details such as attraction names, location, ratings, category, and visitor feedback. Designed to facilitate exploratory data analysis and predictive modeling, this dataset is a valuable tool for researchers and analysts.

For an enhanced analytical experience, interactive Tableau dashboards have been created for each country's dataset. These dashboards offer visual interpretations and trend analyses of tourist activities. Access the dashboards at the following link:

US Tourist Attractions Dashboard India Tourist Attractions Dashboard Iran Tourist Attractions Dashboard

Your feedback is invaluable for enhancing the utility and accuracy of this dataset and its associated dashboards. Please share your insights and suggestions.

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES YEAR OF ENTRY - DP02 Universe - Population born outside the United States Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 All respondents born outside the United States were asked for the year in which they came to live in the United States. This includes people born in Puerto Rico, Guam, the Northern Marianas, or the U.S. Virgin Islands; people born abroad of at least one U.S. citizen parent; and the foreign born. For the Puerto Rico Community Survey, respondents born outside Puerto Rico were asked for the year in which they came to live in Puerto Rico.

This table contains 45 series, with data for years 2014 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) State visited (15 items: Florida; New York; Washington; California; ...) Travel characteristics (3 items: Visits; Nights; Spending in country).

This dataset provides monthly totals of US airline passengers from 1949 to 1960. This dataset is taken from a built-in dataset of R called AirPassengers. Analysts often employ various statistical techniques, such as decomposition, smoothing, and forecasting models, to analyze patterns, trends, and seasonal fluctuations within the data. Due to its historical nature and consistent temporal granularity, the Air Passengers dataset serves as a valuable resource for researchers, practitioners, and students in the fields of statistics, econometrics, and transportation planning.

Techsalerator’s Location Sentiment Data for Mongolia

Techsalerator’s Location Sentiment Data for Mongolia provides an extensive dataset that captures public sentiment across different regions. This data is essential for businesses, researchers, and policymakers looking to understand how people feel about specific locations, events, and industries throughout Mongolia.

For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

Top 5 Key Data Fields

• Geographic Location – Captures sentiment data at the city, province, and district levels, providing detailed regional insights.
• Sentiment Score – Measures public opinion on a scale from negative to positive, helping businesses assess brand perception and regional trends.
• Source of Sentiment – Analyzes data from social media, news, blogs, and reviews to provide a comprehensive view of public sentiment.
• Time of Sentiment Capture – Tracks sentiment changes over time to identify trends, seasonal variations, and emerging topics.
• Industry-Specific Sentiment – Provides targeted sentiment analysis for key industries such as tourism, mining, agriculture, and retail.

Top 5 Location Sentiment Trends in Mongolia

• Tourism Sentiment Fluctuations – Sentiment towards travel destinations, such as the Gobi Desert and Ulaanbaatar, varies based on seasonality and international travel restrictions.
• Mining Industry Perceptions – Public sentiment on mining operations, including gold and coal extraction, is shaped by environmental concerns and economic benefits.
• Urban vs. Rural Sentiment Differences – Cities like Ulaanbaatar show diverse sentiment patterns compared to rural areas, reflecting differences in infrastructure, job opportunities, and quality of life.
• Government and Policy Sentiment – Sentiment trends related to policy decisions, elections, and international relations influence public opinion on governance.
• Consumer Brand Perception – Analysis of sentiment around local and international brands provides insights for businesses looking to expand in Mongolia.

Top 5 Applications of Location Sentiment Data in Mongolia

• Market Research & Business Expansion – Companies use sentiment insights to identify favorable locations for new stores, services, and investments.
• Tourism & Hospitality Strategy – Sentiment analysis helps tourism boards and hotels adjust marketing strategies based on visitor feedback.
• Government & Policy Decision-Making – Public sentiment data informs policymakers about regional concerns, helping guide urban planning and social programs.
• Crisis Management & Reputation Monitoring – Real-time sentiment tracking allows businesses and governments to respond quickly to negative trends.
• AI & Predictive Analytics – Sentiment data enhances machine learning models for predictive consumer behavior and regional analysis.

Accessing Techsalerator’s Location Sentiment Data

To obtain Techsalerator’s Location Sentiment Data for Mongolia, contact info@techsalerator.com with your specific requirements. Techsalerator provides customized datasets with delivery available within 24 hours. Ongoing access options can also be arranged.

Included Data Fields

• Geographic Location
• Sentiment Score
• Source of Sentiment
• Time of Sentiment Capture
• Industry-Specific Sentiment
• Emotion Categorization (Positive, Negative, Neutral)
• Public Opinion Trends
• Social Media & News Analysis
• Brand Perception Insights
• Contact Information

For businesses, researchers, and policymakers looking to leverage real-time sentiment insights in Mongolia, Techsalerator’s dataset provides unparalleled value in understanding public opinion and regional trends.

Epic and Ikon Ski Resorts 2024-2025 Dataset

A dataset of ski resorts associated with the Epic and Ikon ski passes for the 2024-2025 season. Note that this includes Epic and Ikon resorts as well as partner resorts (e.g., resorts offering limited days access). The dataset includes key information about the resorts, such as their geographical location, skiable acres, elevation, trail count, average snowfall, and historical opening and closing dates. This data provides an overview of the ski season performance and features of these resorts. It's intended for analysis, research, and educational purposes, especially for ski enthusiasts, industry analysts, or travelers planning their next trip.

About Epic and Ikon Ski Passes

Epic and Ikon are two of the most prominent ski passes in North America, offering access to a large network of ski resorts worldwide. The Epic Pass, managed by Vail Resorts, and the Ikon Pass, managed by Alterra Mountain Company, allow skiers and snowboarders to explore resorts across multiple countries with a single pass. For more information, visit the official pages for Epic Pass and Ikon Pass.

Dataset Information

• Source: This dataset compiles information from public resources, including official ski resort websites, official ski resort social media (for opening/closing dates), Epic Pass and Ikon Pass websites, Wikipedia, OnTheSnow, SnowPak, and other public sources. Cells are each derived from one or more sources and then selected/verified. Some quantitative columns (e.g., vertical_ft, ski_season_length_days) are derived from other columns within the dataset.
• Purpose: This dataset is intended for analysis, research, and educational use, such as exploring trends in ski resort operations, snowfall patterns, and season lengths.
• Accuracy: While the dataset has been created with a focus on precision, there may be variations in specific resort data. For critical use, cross-checking with official resort websites is recommended.
• Notes: Southern Hemisphere seasons are assigned to the season ending year (e.g., Jun-Aug 2024 Southern Hemisphere season is assigned to 2023-2024 ski season)

Data Structure

Dataset Columns

Number of vehicles travelling between Canada and the United States, by trip characteristics, length of stay and type of transportation. Data available monthly.

The international tourism expenditure per capita in Sweden was forecast to continuously increase between 2024 and 2029 by in total 4,017.9 U.S. dollars (+11.47 percent). After the eighth consecutive increasing year, the expenditure is estimated to reach 39,058 U.S. dollars and therefore a new peak in 2029. Covered are expenditures of international outbound visitors to other countries from the selected region, including payments to foreign carriers for international transport. Domestic tourism expenditures are not included. The forecast has been adjusted for the expected impact of COVID-19.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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the international tourism expenditure per capita in countries like Denmark and Finland.

Description:

This dataset provides a comprehensive overview of the overseas Pakistani population across different continents and countries, along with their remittance statistics. The dataset includes information about the country, article, continent, and year, as well as the number of overseas Pakistani residents and their remittance amounts in US dollars. The dataset also contains additional information on the overseas Pakistani population by continent and their overall population.

Country: The name of the country where the Pakistani expatriates are residing. Article:Any relevant article or information associated with the country, such as its political or economic situation. Continent:The name of the continent where the country is located. Overseas Pakistani population (By Country): The estimated number of Pakistani expatriates residing in the country. Extra Information: Any additional information that is relevant to the Pakistani expatriate population in the country. Overseas Pakistani Population by Continent:The estimated number of Pakistani expatriates residing in the continent. Population (by Continent): The estimated population of the continent. Year: The year to which the data corresponds Remittance received. Remittance ($ billion): The amount of remittance in US dollars sent by the Pakistani expatriate population from the country to Pakistan during the corresponding year.

This dataset is an essential resource for researchers, policymakers, and anyone interested in studying or analyzing the trends and patterns of the Pakistani diaspora around the world. The data can help researchers identify areas of high remittance inflows and study their economic impact on the country of origin. It can also be used by policymakers to formulate policies that cater to the needs and challenges of Pakistani expatriates in different countries. Finally, this dataset can also be used to understand the social and cultural dynamics of the Pakistani community in different parts of the world.

The international tourism expenditure per capita in Latvia was forecast to continuously increase between 2024 and 2029 by in total 315.2 U.S. dollars (+24.24 percent). After the twenty-first consecutive increasing year, the expenditure is estimated to reach 1,615.34 U.S. dollars and therefore a new peak in 2029. Covered are expenditures of international outbound visitors to other countries from the selected region, including payments to foreign carriers for international transport. Domestic tourism expenditures are not included. The forecast has been adjusted for the expected impact of COVID-19.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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the international tourism expenditure per capita in countries like Estonia and Lithuania.

Techsalerator’s Location Sentiment Data for Russia

Techsalerator’s Location Sentiment Data for Russia provides valuable insights into how people perceive various locations across the country. This dataset is essential for businesses, researchers, and policymakers looking to analyze public sentiment, social trends, and economic factors at a regional and national level.

For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

Top 5 Key Data Fields

• Geographical Location – Identifies the city, region, or district for precise sentiment analysis.
• Sentiment Score – Measures positive, neutral, or negative sentiment levels using advanced NLP techniques.
• Source of Sentiment – Categorizes sentiment sources such as social media, news, reviews, and surveys.
• Timeframe of Sentiment – Provides timestamps to track sentiment shifts over time.
• Demographic Breakdown – Analyzes sentiment by age, gender, profession, and other key demographics.

Top 5 Location Sentiment Trends in Russia

• Urban vs. Rural Sentiment Divide – Larger cities like Moscow and St. Petersburg show higher economic optimism, while rural areas exhibit concerns over infrastructure and job opportunities.
• Political and Social Sentiment Variability – Public sentiment shifts in response to government policies, economic sanctions, and international relations.
• Tourism and Cultural Sentiment – Foreign visitors and locals express strong opinions about major tourist destinations, affecting travel trends.
• Consumer Behavior Insights – Sentiment data reveals trends in shopping, dining, and entertainment preferences across different regions.
• Environmental Concerns – Increasing public discussions about climate change, pollution, and sustainability, influencing governmental and corporate policies.

Top 5 Applications of Location Sentiment Data in Russia

• Market Research & Business Strategy – Helps companies understand consumer attitudes and improve location-based marketing strategies.
• Urban Planning & Development – Assists policymakers in making data-driven decisions to enhance public services and infrastructure.
• Election Campaigns & Political Analysis – Supports candidates and analysts in gauging public opinion on policies and governance.
• Crisis Management & Risk Assessment – Enables organizations to monitor sentiment fluctuations and respond to crises effectively.
• Tourism & Hospitality Industry – Provides insights into tourist satisfaction and areas for improvement in the travel sector.

Accessing Techsalerator’s Location Sentiment Data

To obtain Techsalerator’s Location Sentiment Data for Russia, contact info@techsalerator.com with your specific requirements. Techsalerator offers customized datasets based on requested fields, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Geographical Location
• Sentiment Score
• Source of Sentiment
• Timeframe of Sentiment
• Demographic Breakdown
• Public Opinion on Key Topics
• Industry-Specific Sentiment Insights
• Economic Sentiment Indicators
• Tourism & Hospitality Sentiment Analysis
• Contact Information

For a comprehensive understanding of public perception and sentiment trends across Russia, Techsalerator’s dataset is a critical resource for businesses, researchers, and decision-makers.

Techsalerator’s Location Sentiment Data for Thailand

Techsalerator’s Location Sentiment Data for Thailand provides a comprehensive dataset that analyzes public sentiment across various locations in the country. This dataset is essential for businesses, researchers, and policymakers looking to understand public perception, consumer trends, and regional sentiment dynamics in Thailand.

For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

Techsalerator’s Location Sentiment Data for Thailand

Techsalerator’s Location Sentiment Data for Thailand delivers structured insights into sentiment trends across cities, provinces, and specific venues. The dataset is crucial for market research, social analytics, tourism, and urban planning.

Top 5 Key Data Fields

• Geographical Location – Identifies the specific area (city, province, or district) where sentiment data is collected.
• Sentiment Score – Measures public sentiment on a scale, categorizing opinions as positive, neutral, or negative.
• Source of Sentiment – Extracts data from various sources, including social media, reviews, surveys, and local news.
• Topic of Sentiment – Identifies key topics associated with sentiment trends, such as tourism, business, environment, and public services.
• Time Stamp – Provides the date and time of data collection to analyze trends over different periods.

Top 5 Location Sentiment Trends in Thailand

• Tourism Sentiment Shifts – Sentiment around popular tourist destinations fluctuates based on seasonal trends, travel policies, and visitor experiences.
• Urban vs. Rural Sentiment – Cities like Bangkok and Chiang Mai show different sentiment patterns compared to rural areas, influenced by infrastructure, services, and quality of life.
• Consumer Brand Perceptions – Local and international brands receive varying sentiment feedback depending on product launches, promotions, and customer service.
• Environmental Concerns – Public sentiment on pollution, deforestation, and sustainability efforts impacts governmental and corporate policies.
• Political and Social Discussions – Conversations on governance, policies, and public welfare generate distinct sentiment trends across different regions.

Top 5 Applications of Location Sentiment Data in Thailand

• Market Research and Consumer Insights – Helps businesses understand regional consumer preferences and brand sentiment.
• Tourism and Hospitality Analytics – Provides insights into visitor satisfaction, allowing for service improvements in hotels, attractions, and restaurants.
• Government and Policy Decision-Making – Supports public administration in assessing public opinion on policies and urban development.
• Real Estate and Urban Planning – Guides property development and infrastructure projects based on sentiment trends in various locations.
• Crisis Management and Public Relations – Enables companies and organizations to respond proactively to negative sentiment and reputation risks.

Accessing Techsalerator’s Location Sentiment Data

To obtain Techsalerator’s Location Sentiment Data for Thailand, contact info@techsalerator.com with your specific requirements. Techsalerator provides customized datasets based on requested fields, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Geographical Location
• Sentiment Score
• Source of Sentiment
• Topic of Sentiment
• Time Stamp
• Sentiment Category (Positive, Neutral, Negative)
• Demographic Insights (Age, Gender, Interests)
• Industry-Specific Sentiment (Retail, Travel, Finance, etc.)
• Social Media Sentiment Analysis
• Public Review Aggregation

For organizations seeking in-depth sentiment insights across Thailand, Techsalerator’s dataset is an invaluable resource for strategic decision-making, marketing, and public engagement.

The international tourism receipts in Sweden were forecast to continuously increase between 2024 and 2029 by in total 40.7 billion U.S. dollars (+16.92 percent). After the eighth consecutive increasing year, the tourism receipts is estimated to reach 281.3 billion U.S. dollars and therefore a new peak in 2029. Receipts denote expenditures by inbound tourists from other countries. Domestic tourism expenditures are not included. The forecast has been adjusted for the expected impact of COVID-19. 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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the international tourism receipts in countries like Denmark and Norway.

Techsalerator’s Business Funding Data for Barbados

Techsalerator’s Business Funding Data for Barbados provides a comprehensive and insightful collection of information that is vital for businesses, investors, and financial analysts. This dataset delivers an in-depth analysis of the funding activities of companies across various sectors in Barbados, capturing and categorizing data related to their funding rounds, investment sources, and financial milestones.

If you need the full dataset, reach out to us at info@techsalerator.com or visit https://www.techsalerator.com/contact-us.

Techsalerator’s Business Funding Data for Barbados

Techsalerator’s Business Funding Data for Barbados offers a detailed and insightful overview of crucial information for businesses, investors, and financial analysts. This dataset provides a thorough examination of funding activities across various sectors in Barbados, detailing data related to funding rounds, investment sources, and key financial milestones.

Top 5 Key Data Fields

1. Company Name: Identifies the company receiving funding. This information helps investors identify potential opportunities and allows analysts to monitor funding trends within specific industries.

2. Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts reveals insights into the financial health and growth potential of businesses and the scale of investment activities.

3. Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors assess a business’s maturity and growth trajectory.

4. Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps gauge the credibility of the funding source and their strategic interests.

5. Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.

Top 5 Funding Trends in Barbados

1. Tourism and Hospitality: Significant investments are being made in the tourism sector, including developments in resorts, attractions, and infrastructure aimed at boosting visitor numbers and enhancing the visitor experience.

2. Renewable Energy: With a focus on sustainability, funding is directed towards renewable energy projects such as solar and wind energy, aiming to reduce the island’s reliance on fossil fuels and promote environmental conservation.

3. Technology and Innovation: The tech sector in Barbados is attracting investment, with efforts to develop tech hubs, support startups, and enhance digital infrastructure to foster innovation and economic growth.

4. Agriculture and Food Production: Investments are being made to modernize agriculture, improve food production systems, and support sustainable practices, which are essential for the island’s food security and economic stability.

5. Education and Skill Development: Funding is being allocated to educational initiatives and skill development programs aimed at improving literacy rates, enhancing vocational training, and preparing the workforce for future challenges.

Top 5 Companies with Notable Funding Data in Barbados

1. Sandals Resorts International: As a leading player in the tourism sector, Sandals Resorts has received significant funding to expand its resort offerings and enhance guest experiences.

2. Solar Energy Barbados: This company has secured funding to develop and implement solar energy projects, contributing to the island’s renewable energy goals.

3. Barbados Entrepreneurship Foundation: The foundation has garnered investment to support local startups, foster innovation, and develop a vibrant entrepreneurial ecosystem.

4. BIDC (Barbados Industrial Development Corporation): BIDC has attracted funding to promote industrial development, enhance business facilities, and support economic diversification.

5. UWI (University of the West Indies) - Cave Hill Campus: The campus has received funding to advance its educational programs, research initiatives, and campus infrastructure.

Accessing Techsalerator’s Business Funding Data

To obtain Techsalerator’s Business Funding Data for Barbados, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Company Name
• Funding Amount
• Funding Round
• Investor Name
• Investment Date
• Funding Type (Equity, Debt, Grants, etc.)
• Sector Focus
• Deal Structure
• Investment Stage
• Contact Information

For detailed insights into funding activities and financial trends in Barbados, Techsalerator’s dataset is an invaluab...

The international tourism receipts in Latvia were forecast to continuously increase between 2024 and 2029 by in total 235.9 million U.S. dollars (+14.58 percent). After the eighth consecutive increasing year, the tourism receipts is estimated to reach 1.9 billion U.S. dollars and therefore a new peak in 2029. Receipts denote expenditures by inbound tourists from other countries. Domestic tourism expenditures are not included. The forecast has been adjusted for the expected impact of COVID-19. 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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the international tourism receipts in countries like Lithuania and Estonia.