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 Arrivals data was reported at 75,608,000.000 Person in 2016. This records a decrease from the previous number of 77,465,000.000 Person for 2015. United States US: International Tourism: Number of Arrivals data is updated yearly, averaging 51,107,500.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 77,465,000.000 Person in 2015 and a record low of 41,218,000.000 Person in 2003. United States US: International Tourism: Number of Arrivals 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 inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;

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;

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.

Tourism Revenues in the United States decreased to 20626 USD Million in July from 20913 USD Million in June of 2025. This dataset provides - United States Tourism Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

US Travel Check-Ins - Analysis

In-Depth Study of Location, Date, Temperature, USIndex, and Crime Rates

By [source]

About this dataset

This comprehensive dataset offers an in-depth exploration into US travel check-ins from Instagram. It includes detailed data scraped from Instagram, such as the location of each check-in, the USIndex for each state, average temperature for each state per month, and crime rate per state. In addition to location and time information, this dataset also provides latitude and longitude coordinates for every entry. This extensive collection of data is invaluable for those interested in studying various aspects of movement within the United States. With detailed insights on factors like climate conditions and economic health of a region at a given point in time, this dataset can help uncover fascinating trends regarding how travelers choose their destinations and how they experience their journeys around the country

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Featured Notebooks

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How to use the dataset

This Kaggle dataset - US Travel Check-Ins Analysis - provides valuable insights for travel researchers, marketers and businesses in the travel industry. It contains check-in location, USIndex rating (economic health of each state), average temperature, and crime rate per state. Latitude and longitude of each check-ins are also provided with added geographic context to help you visualize the data.

This guide will show you how to use this dataset for your research or business venture.

Step 1: Prepare your data First and foremost, it is important to cleanse your data before you can analyze it. Depending on what sort of analysis needs to be conducted (e.g., time series analysis) you will need to select the applicable columns from the dataset that match your needs best and exclude any unnecessary columns such as dates or season related data points as they are not relevant here. Furthermore, variable formatting should be consistent across all instances in a variable/column category as well (elevation is a good example here). You can always double check that everything is formatted correctly by running a quick summary on selected columns using conditional queries like df['var'].describe() command in Python for descriptive results about an entire column’s statistical makeup including mean values, quartile ranges etc..

Step 2: Explore & Analyze Your Data Graphically Once the data has been prepped properly you can start visualizing it in order to gain better insights into any trends or patterns that may be present within it when compared with other datasets or information sources simultaneously such as weather forecasts or nationwide trend indicators etc.. Grafana dashboards are feasible solutions when multiple dataset need to be compared but depending on what type of graphs/charts being used Excel worksheet formats can offer great customization options flexiblity along with various export file types (.csv; .jpegs; .pdfs). Plotting markers onto map applications like Google Maps API offers more geographical awareness that could useful when analyzing location dependent variables too which means we have one advantage over manual inspection tasks just by leveraging existing software applications alongside publicly available APIs!

Step 3: Interpretation & Hypothesis Testing
After generating informative graphical interpretation from exploratory visualizations the next step would involve testing out various hypotheses based on established correlations between different variables derived from overall quantitative estimates vizualizations regarding distribution trends across different regions tends towards geographical areas where certain logistical processes could yeild higher success ratios giving potential customers greater satisfaction than

Research Ideas

• Travel trends analysis: Using this dataset, researchers could track which areas of the US are popular destinations based on travel check-ins and spot any interesting trends or correlations in terms of geography, seasonal changes, economic health or crime rates.
• Predictive Modeling: By using various features from this dataset such as average temperature, US Index and crime rate, predictors could be developed to suggest how safe an area would feel to a tourist based on their current location and other predetermined variables they choose to input into the model.
• Trip Planning Tool: The dataset can also be used to develop a tool that quickly allows travelers to plan trips according to their preferences in terms of duration and budget as well a...

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 contains data and analysis from the article Do State Department Travel Warnings Reflect Real Danger?

Key findings

• On the whole, there is a significant relationship between the number of American deaths abroad per capita and the number of travel warnings a country receives
• Mexico, Mali, and Israel have been targeted by the most travel warnings in recent years, but Americans are more likely to be killed in Thailand, Pakistan, and the Philippines
• Several countries with relatively high rates of American death have not been issued a single travel warning in ~7 years, including Belize, Guyana, and Guatemala
• Several countries with relatively low rates of American death have been issued a relatively high number of travel warnings in ~7 years, including Israel, Turkey, and Saudi Arabia
• Overall, countries subject to travel warnings do not see notable declines in American visitors in the 6 months after a warning is issued

Data sources

• BTSOriginUS_10_09_to_06_16.csv Air Carrier Statistics Database export, Bureau of Transportation Statistics
• SDamerican_deaths_abroad_10_09_to_06_16.csv U.S. State Department
• SDwarnings_10_09to06_16.csv U.S. State Department via Internet Archive

Charts / data visualizations

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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 of origin (15 items: New York; Washington; Michigan; California; ...) Traveller characteristics (3 items: Trips; Nights; Spending in Canada).

Laos LA: International Tourism: Receipts: for Travel Items data was reported at 712.000 USD mn in 2016. This records a decrease from the previous number of 724.000 USD mn for 2015. Laos LA: International Tourism: Receipts: for Travel Items data is updated yearly, averaging 148.500 USD mn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 724.000 USD mn in 2015 and a record low of 51.000 USD mn in 1995. Laos LA: International Tourism: Receipts: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank.WDI: Tourism Statistics. International tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These receipts should include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

United States Visitor Arrivals: Caribbean: Saint Martin data was reported at 253.000 Person in Mar 2025. This records an increase from the previous number of 247.000 Person for Feb 2025. United States Visitor Arrivals: Caribbean: Saint Martin data is updated monthly, averaging 21.000 Person from Dec 2013 (Median) to Mar 2025, with 136 observations. The data reached an all-time high of 898.000 Person in Jul 2024 and a record low of 0.000 Person in Feb 2017. United States Visitor Arrivals: Caribbean: Saint Martin data remains active status in CEIC and is reported by National Travel and Tourism Office. The data is categorized under Global Database’s United States – Table US.Q001: Visitor Arrivals.

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).

Tourism in Turkey Tourism in Turkey is focused largely on a variety of historical sites, and on seaside resorts along its Aegean and Mediterranean Sea coasts. Turkey has also become a popular destination for culture, spa, and health care.

At its height in 2019, Turkey attracted around 51 million foreign tourists,[1] ranking as the sixth-most-popular tourist destination in the world.[2] The total number fluctuated between around 41 million in 2015, and around 30 million in 2016.[3][4] However, recovery began in 2017, with the number of foreign visitors increasing to 37.9 million, and in 2018 to 46.1 million visitors.

Foreign tourist arrivals increased substantially in Turkey between 2000 and 2005, from 8 million to 25 million, which made Turkey a top-10 destination in the world for foreign visitors. 2005 revenues were US$20.3 billion which also made Turkey one of the top-10 biggest revenue owners in the world. In 2011, Turkey ranked as the 6th most popular tourist destination in the world and 4th in Europe, according to UNWTO World Tourism barometer. See World Tourism rankings. At its height in 2014, Turkey attracted around 42 million foreign tourists, still ranking as the 6th most popular tourist destination in the world. From 2015, tourism to Turkey entered a steep decline. In 2016, only around 30 million people visited Turkey. 2016 is described as the second year of huge losses on both visitor numbers and income, a "year of devastating losses", with Turkish tourism businesses stating that they "cannot remember a worse time in the sector". The number of foreign visitors started recovering in 2017 with 37.9 million visitors being recorded. The recovery was partly due to intense security campaigns and advertising. The number of Russian tourists increased by 444% after the recovery of bilateral relations, resulting in Russia becoming the top tourism market for Turkey once again. Increases were also recorded in the British, Dutch and Belgian markets.

In early 2017, the Turkish government urged Turkish citizens living abroad to take their vacations in Turkey, attempting to revive the struggling tourism sector of an economy that went into contraction from late 2016. After the April 2017 constitutional referendum, another sharp drop in tourist bookings from Germany was recorded. In 2018, however, the German Tourism Industry Association recorded a growth in German tourist bookings for Turkey, with a 70% increase being recorded by the TUI Group alone.

What do you know about Turkey? Have you ever been in Turkey?

Source: Vikipedia

Content This datasets contains 92 nationalities of tourists who visits Turkey between the years 2008 and 2020 (monthly)

The United States National Parks

Discover America's Natural Wonders

About this dataset

The United States is home to 63 national parks, each with its own unique story and natural wonders to explore. This dataset provides information on all of the national parks in the country, including the state in which each park is located, the date when it was established, its total area, the number of recreation visitors it receives each year, and a description of its key features. Whether you're looking to discover America's hidden gems or simply want to find a new place to explore, this dataset is a great resource for planning your next adventure

How to use the dataset

This dataset has been designed to provide information on the 63 national parks in the United States. It includes data on the park name, location, date established, area, recreation visitors, and description. This dataset can be used by researchers interested in studying the national parks of the United States, as well as by individuals planning a visit to one or more of these parks

Research Ideas

• Creating a map of all 63 national parks in the US
• Determining which states have the most national parks
• Planning a road trip to visit all 63 national parks

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: df_1.csv | Column name | Description | |:--------------|:--------------| | 0 | |

File: df_4.csv

File: df_3.csv | Column name | Description | |:--------------------|:--------------------------------------------------------------------------| | State | The state in which the national park is located. (String) | | Total parks | The total number of national parks in the state. (Integer) | | Exclusive parks | The number of national parks that are exclusive to the state. (Integer) | | Shared parks | The number of national parks that are shared with other states. (Integer) |

File: df_2.csv | Column name | Description | |:----------------|:---------------------------------------------| | Name | The name of the national park. (String) | | Image | An image of the national park. (URL) | | Location | The location of the national park. (String) | | Description | A description of the national park. (String) |

File: df_5.csv | Column name | Description | |:------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | vteFederal protected areas in the United States | A list of all federal protected areas in the United States. (List) | | vteFederal protected areas in the United States.1 | A list of all federal protected areas in the United States, including the state in which each park is located, the total number of parks in that state, the number of exclusive parks in that state, and the number of shared parks in that state. (List) |

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.

United States Visitor Arrivals: Oceania: Vanuatu data was reported at 12.000 Person in Mar 2025. This records a decrease from the previous number of 20.000 Person for Feb 2025. United States Visitor Arrivals: Oceania: Vanuatu data is updated monthly, averaging 17.000 Person from Jan 2000 (Median) to Mar 2025, with 303 observations. The data reached an all-time high of 69.000 Person in Jul 2001 and a record low of 0.000 Person in Jun 2021. United States Visitor Arrivals: Oceania: Vanuatu data remains active status in CEIC and is reported by National Travel and Tourism Office. The data is categorized under Global Database’s United States – Table US.Q001: Visitor Arrivals.

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.

The international tourism receipts in Norway were forecast to continuously increase between 2024 and 2029 by in total 10 billion U.S. dollars (+26.47 percent). According to this forecast, in 2029, the tourism receipts will have increased for the ninth consecutive year to 47.9 billion U.S. dollars. 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 Finland and Denmark.

Statistics and reports on how much U.S. tourists spend and the prices they pay for lodging, airfare, souvenirs, and other travel-related items.