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;

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.

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.

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) Country of origin (15 items: United States; United Kingdom; France; China; ...) Traveller characteristics (3 items: Trips; Nights; Spending in Canada).

Context

This dataset deals with the visitors of foreigners to INDIA.

It includes foreigners (not Indian), overseas Indian, and crew members, except for some of the foreign arrivals who are not considered tourists (diplomats, soldiers, permanent residents, visiting cohabitation, and residence).

The Indian Government has compiled, analyzed, and provided statistics on foreign tourists visiting Indian and overseas tourists by type.

The data materials were prepared for the purpose of utilizing them as basic data for establishing tourism policies and marketing strategies.

I created this dataset by rebuilding the data provided by the Indian Government for easy analysis.

Column Name and Explanation:

noftaii: No. of Foreign Tourist Arrivals in India (in Million) noftaiiagr: No. of Foreign Tourist Arrivals in India, Annual growth rate(in %)(compare to the previous year) noindfi: No.of Indian Nationals departures from India (in Million) noindfiagr: No.of Indian Nationals departures from India, Annual growth rate(in %)(compare to the previous year) nodtvasu: No. of Domestic Tourist Visits to all States/UTs nodtvasuagr: No. of Domestic Tourist Visits to all States/UTs feeftit: Estimated Foreign Exchange Earnings from Tourism in INR terms in Crores feeftitagr: Estimated Foreign Exchange Earnings from Tourism in INR terms, Annual growth rate(in %)(compare to the previous year) feeftust: Estimated Foreign Exchange Earnings from Tourism in US$ terms in Billions feeftustagr : Estimated Foreign Exchange Earnings from Tourism in US$ terms, Annual growth rate(in %)(compare to the previous year) wnoita: world level No. of International Tourist Arrivals in Millions wnoitaagr: world level No. of International Tourist Arrivals, Annual growth rate(in %)(compare to the previous year) witr: world level International Tourism Receipts in US$ Billion witragr: world level International Tourism Receipts in US$ Billion, Annual growth rate(in %)(compare to the previous year) aprnoita: In Asia and The Pacific Region, No. of International Tourist Arrivals in Million aprnoitaagr: In Asia and The Pacific Region, No. of International Tourist Arrivals in Million, Annual growth rate(in %)(compare to the previous year) apfitr: In Asia and The Pacific Region, International Tourism Receipts in US$ Billion apritragr: In Asia and The Pacific Region, International Tourism Receiptsin US$ Billion, Annual growth rate(in %)(compare to the previous year) ipwiita: India’s Position in World, Share of India in International Tourist Arrivals(in %) ipwirwta: India’s Position in World, India’s rank in World Tourist Arrivals ipwsiitr: India’s Position in World, Share of India in International Tourism Receipts (US$ terms) (in %) ipwirwtr: Position in Asia & the Pacific Region, India’s rank in World Tourism Receipts ipaprita: Position in Asia & the Pacific Region, Share of India in International Tourist Arrivals(in %)

Acknowledgments

Thanks to the Indian Ministry of Tourismfor making the data available to the general public. For more details, you can refer: https://github.com/kachhadiyaraj15/india_tourism_2014_2020

Cover Photo

Photo from Adobe Stock https://stock.adobe.com/in/images/collage-of-india-historical-monuments-architectural-buildings-and-ruins-a-india-tour-and-travel-banner-of-notable-tourist-destinations/142044867

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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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...

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.

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).

The international tourism expenditure in Sweden was forecast to continuously increase between 2024 and 2029 by in total 50.6 billion U.S. dollars (+13.62 percent). After the eighth consecutive increasing year, the expenditure is estimated to reach 422.3 billion 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 in countries like Iceland and Finland.

The international tourism expenditure in Algeria was forecast to continuously increase between 2024 and 2029 by in total 42.6 billion U.S. dollars (+74.42 percent). After the ninth consecutive increasing year, the expenditure is estimated to reach 99.9 billion 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 in countries like Egypt and Morocco.

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 number of international tourist arrivals in Asia was forecast to continuously increase between 2024 and 2029 by in total 174.7 million arrivals (+33.49 percent). After the ninth consecutive increasing year, the arrivals is estimated to reach 696.34 million arrivals and therefore a new peak in 2029. Depicted is the number of inbound international tourists. According to World Bank this refers to tourists travelling to a country which is not their usual residence, whereby the main purpose is not work related and the planned visitation period does not exceed 12 months. 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 number of international tourist arrivals in countries like North America and Caribbean.

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.

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.

The absolute economic contribution of tourism in Latvia was forecast to continuously increase between 2024 and 2029 by in total 1.2 billion U.S. dollars (+42.97 percent). After the ninth consecutive increasing year, the economic contribution is estimated to reach 3.8 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 150 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 Lithuania and Estonia.