The economic impact of tourism in New York state saw significant growth in 2023, reaching 137 billion U.S. dollars. When looking at a breakdown of tourism’s economic impact in New York, direct sales accounted for the highest share of economic impact, followed by induced sales. Is New York the most visited state in the U.S.? In 2023, the most visited state in the U.S., by international tourists, was New York. This was followed closely by Florida, and in third place, California. In 2023, visitation to New York City saw significant growth, reaching 62.2 million visitors. What do visitors spend the most on in New York? In 2023, the tourism segment with the highest visitor spending in New York was lodging. Visitors to New York also spent a significant amount on food and beverages, followed by retail and services. Comparatively, the industry which held the lowest share of visitor spending was recreation.

Data estimating the direct, indirect and induced impacts of tourism receipts and visitor spending on gross domestic product, labour income and employment in Ontario.

Tourism in New York, United States, contributed a direct impact of **** billion U.S. dollars to the economy in 2022. The indirect impact of visitors amounted to **** billion U.S. dollars, followed by **** billion U.S. dollars in induced sales. This resulted in a total economic impact of ***** billion U.S. dollars.

VTC’s annual economic impact of travel study covering 2023 was conducted by Tourism Economics.

Virginia Tourism collaborated with Tourism Economics for a 2022 study on the economic impact of Sports Tourism in Virginia. It’s the first of its kind study for VTC and the report provides data dating back to 2019. The report focuses on the impact of sports tourism in four regions across the Commonwealth: Central & Southern Virginia, Coastal Virginia, Northern Virginia, and Western Virginia.

In 2022, the estimated impact of tourism on output in Japan amounted to **** trillion Japanese yen. The figure had been rising since 2014 and had surpassed ** trillion Japanese yen for the past years until the advent of the COVID-19 pandemic set an end to that trend.

This website provides statistics on the economic value of visitors to the state of Virginia. The analysis is commissioned by the Virginia Tourism Corporation, and is conducted by Tourism Economics, LLC. The analysis is based on multiple data sources, including the US census, STR, Longwoods International, lodging and sales tax receipts, and employment and wage data from the Bureau of Economic Analysis and Bureau of Labor Statistics. By combining these datasets, a comprehensive view of visitor activity is developed that is consistent with official economic and industry data for the state. The analysis measures visitor spending by category, tourism employment, personal income, and taxes generated by visitor activity. The data are available for several years of history and can be viewed and downloaded at the state level.

The total contribution of travel and tourism to South Korea’s GDP amounted to around 81 trillion South Korean won in 2017. This number includes direct, indirect, as well as induced contributions. The value decreased in 2017 due to the decrease in visitor arrivals that year.

Importance of tourists from Mainland China

After a peak in 2016, the number of visitors from Mainland China to South Korea plunged the following year, due to political tension between the two countries. The tensions led to Beijing ordering travel companies to stop selling group tours to South Korea. Since Chinese tourists made up for almost half of all visitor arrivals to South Korea, this had a notable impact on the otherwise steadily growing tourism industry. The number of visitors from Mainland China started to grow again in 2018.

Hallyu boosts the industry

Hallyu, also known as the “Korean wave” is a common term referring to the South Korean popular culture, including music, TV shows, and movies. With South Korean popular culture gaining popularity around the globe, the number of visitors to the countries grows as well. For example, after the TV drama Winter Sonata gained popularity overseas in 2002, the number of foreign visitors to its rural filming location Nami Island started to grow. The drama is widely considered to be the start of Hallyu throughout worldwide. Another example is the Korean pop boy band BTS, which is currently considered as the biggest boy band in the world. In 2018, the Seoul Metropolitan Government gave credit to the band for boosting the tourism industry.

Economic impact analysis is used to determine the effects of additional tourist spending primarily on employment, income (value-added) and government tax revenues in an economy. It provides a snapshot of the economy at a particular point in time based on the initial spending. It is based on the premise that initial or direct effects alone are poor measures of the total impact of tourism on the economy. It is often the case that indirect and induced effects are just as large, if not greater, than direct effects and frequently involve sectors and activities distantly, but importantly, connected to the initial activity. Let's suppose a tourist travels to Alberta and spends $100 at a gas station in Alberta. In an economic impact analysis, the focus is not on the amount of sales (in this case $100), but rather the impact of those sales on the provincial/regional economy.

In 2023, the economic output of tourism in Southern Nevada reached a total of 85.2 billion U.S. dollars. Approximately 51.5 billion U.S. dollars came from direct impacts of tourism, which include visitor spending on casinos, hotels, restaurants, shopping, etc.

The tourism industry is ever-evolving in nature, as it operates in a global marketplace that has become progressively global and offers great potential due to technological advances. The tourism industry faces challenges in accurately forecasting economic impacts and understanding visitor patterns that rapid global changes. Motivated by these needs, this research introduces the Tourism Variational Recurrent Neural Network (TourVaRNN), aiming to enhance the tourism industry by predicting economic impacts and visitor behaviors for effective marketing strategies through advanced Deep Learning (DL) techniques. The research applies a variational recurrent neural network for enhancing tourism demands and model the complex temporal dependencies within tourism data. The proposed TourVaRNN integrates variational autoencoders to capture latent variables representing visitor preferences and spending habits, while recurrent neural networks model complex temporal dependencies in tourism data. Marketing campaigns in the tourism sector can be fine-tuned through visitor segmentation, which seeks to comprehend and classify visitors according to their demographics, preferences, and behaviors. The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. The proposed method is evaluated in terms of performance metrics such as economic impact assessment, visitor segmentation efficiency, inference time analysis, and budget allocation utilization for effective economic and marketing strategy analysis in the tourism industry. TourVaRNN’s improved segmentation efficiency of 15.7 percent allows for more targeted marketing, increasing engagement with visitors and income. Decisions may be made in real-time, improving operational efficiency in tourism management, thanks to a 17.5% reduction in inference time (to 40 ms). The most efficient use of funds is guaranteed by a 13.4% rise in budget allocation utilization, leading to maximum economic benefits.

This Data Report presents a curated dataset capturing global and regional trends in event and recreation tourism from 2019 to 2024, with a particular focus on Uzbekistan’s emerging market. Data were derived from industry reports, government publications, and academic sources, compiling economic impact values, tourist preferences, and sustainability indicators. The dataset provides a foundation for future research in tourism economics, cultural tourism development, sustainability integration, and policy analysis.

A zipped folder containing only the CSV data files that archive the answers to the Arizona Highways Magazine 2019 surveys.

Virginia Tourism collaborated with Tourism Economics for a 2022 study on the economic impact of Sports Tourism in Virginia. It’s the first of its kind study for VTC and the report provides data dating back to 2019. The report focuses on the impact of sports tourism in four regions across the Commonwealth: Central & Southern Virginia, Coastal Virginia, Northern Virginia, and Western Virginia.

Data estimating the direct, indirect and induced impacts of tourism receipts and visitor spending on gross domestic product, labour income and employment in Ontario.

Multiplier Effects of $1 of spending by tourists at protected areas.

This statistic shows the direct contribution of travel and tourism to GDP in South Korea from 2012 to 2017 with estimates of 2018 and 2028. In 2028, travel and tourism was forecasted to make a direct contribution of nearly 50 trillion South Korean won to the GDP of South Korea.

To determine the influence that Arizona Highways Magazine (AHM) and its branded products have on tourism and the economy in Arizona, this study examined the influence of the AHM brand—the magazine, its related retail products, television program, and Facebook page—on tourism to and within Arizona; determined trip characteristics of Arizona travelers influenced by AHM-related products and services; and estimated AHM’s economic impact on travel. Several survey efforts collected travel and spending data that were analyzed with IMPLAN software. Focus groups conducted with television viewers provided additional information. Responses showed that AHM, its products, Facebook page, and television show collectively have a significant impact on the decisions to travel to and in Arizona. The AHM brand increased interest in traveling in the state and informed travel decisions. Based on data from AHM survey respondents, AHM-influenced travel made a substantial economic impact throughout the state; visitor spending—by out of-state subscribers, Arizona subscribers, and AHM shoppers—was extrapolated to have contributed millions of dollars to state and local income tax and supported industries such as lodging, restaurants, and retailers. Estimated visitor expenditures supported 628 Arizona jobs. The minimum benefit/cost ratio of the magazine was calculated at 3.74:1, so for every dollar spent by AHM, at least $3.74 enters Arizona’s economy from out-of-state subscribers due directly to the magazine.

This dataset is a compilation and synthesis of secondary data in South Florida (Martin, Palm Beach, Broward, Miami-Dade, and Monroe Counties) corresponding to the following topics: Human population changes near coral reefs, Economic impact of coral reef fishing to jurisdiction, Economic impact of dive/snorkel tourism to jurisdiction, Community well-being, Physical infrastructure, and Governance. Data are collected from a variety of publicly available sources to supplement primary data collected through resident surveys. These secondary data are collected to address topics outside the scope of NCRMP resident surveys, and are collected on an annual basis throughout the US coral reef jurisdictions. The primary data that were collected as part of this study in Florida are available in NCEI Accession 0161541.

Background: Mount Merbabu is one of the famous natural tourist attractions in Central Java, and it is known for its stunning natural panorama. Climbers who explore Mount Merbabu can enjoy spectacular views of the sunrise, the sea of ​​clouds, and the rows of mountain peaks around it. Tourism activities along the Selo Hiking Trail impact the local community's social and economic aspects, both directly and indirectly. This study aims to identify the social impacts and estimate the economic impact of tourism on the community along the Selo Hiking Trail. Methods: This study uses the Multiplier Effect analysis method to evaluate the economic impact of tourism activities. This method involves measuring several economic indicators, including the Keynesian Income Multiplier, Type I Ratio Income Multiplier, and Type II Ratio Income Multiplier, to determine the effect of tourism activities on the local economy. Findings: The study results indicate that tourism activities along the Selo Hiking Trail have a significant economic impact. The Keynesian Income Multiplier value reaches 0.6, the Type I Ratio Income Multiplier is 3.3, and the Type II Ratio Income Multiplier is 3.5. This indicates that tourism activities positively affect the income of the surrounding community and encourage local economic growth. Conclusion: From the analysis results, it can be concluded that tourism on the Selo Hiking Trail has a positive economic impact through the multiplier effect. However, further research is needed to focus on culture-based tourism or Community-Based Tourism in the surrounding villages to increase the economic benefits for the surrounding community. Novelty /Originality of this article: This study introduces the Multiplier Effect analysis approach in evaluating the economic impact of tourism on Mount Merbabu, providing new insights into the economic contribution of tourism to local communities. These findings also highlight the importance of developing culture-based tourism to expand local communities' economic and social benefits.