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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When surveyed in 2022, it was found that Florida and New York were the two most visited states by adults in the United States, having been visited by ** and ** percent of respondents, respectively. Although it is not a state, the federal district of Washington, D.C. proved a popular travel destination for respondents, ** percent of whom claimed to have visited the U.S. capital. In contrast, only ** percent of respondents said they had visited Alaska, making it the least-visited state. What is the most visited national park in the U.S.? With approximately **** million recreational visits in 2022, the Blue Ridge Parkway was the most visited National Park Service park in the United States. The park extends *** miles through Virginia and North Carolina, connecting the Shenandoah National Park to the Great Smoky Mountains National Park. Meanwhile, the number of recreational visitors to Yellowstone National Park in 2022 was **** million, down from the previous year’s total of **** million. How many domestic leisure trips do Americans take? The number of domestic leisure trips in the U.S. amounted to **** billion in 2022. As estimated, domestic leisure travels in the U.S. dropped to *** billion in 2020. This was due to travel restrictions related to the coronavirus (COVID-19) pandemic. It is forecast that the number of leisure trips will recover gradually during the following years, reaching * billion by 2026. The number of business trips, by comparison, is forecast to reach *** million that same year.

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) Countries visited (15 items: United States; Mexico; United Kingdom; France; ...) Travel characteristics (3 items: Visits; Nights; Spending in country).

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).

Key information about United States Visitor Arrivals

• United States Visitor Arrivals recorded 6,456,562 person in Dec 2024, compared with 5,642,343 person in the previous month
• United States Visitor Arrivals data is updated monthly, available from Jan 1996 to Dec 2024
• The data reached an all-time high of 8,418,370 person in Aug 2014 and a record low of 248,486 person in Apr 2020

National Travel and Tourism Office provides monthly Tourist Arrivals.

The number of international tourist arrivals worldwide rose sharply in 2023 compared to the previous year across all the most visited destinations in the world. Overall, France was the most visited country by inbound travelers worldwide in 2023, with *** million international tourist arrivals. Spain, the United States, and Italy followed in the ranking that year. Has global inbound tourism recovered from the impact of COVID-19? In 2023, the number of international tourist arrivals worldwide totaled approximately *** billion. While this figure represented a ** percent annual increase, it remained below the peak in inbound tourist arrivals reported in 2019, the year before the onset of the COVID-19 pandemic. That said, international tourism receipts worldwide exceeded pre-pandemic levels in 2023, peaking at *** trillion U.S. dollars. What are the most popular global regions for inbound tourism? When breaking down the number of international tourist arrivals worldwide by region, Europe has consistently reported the highest volume of inbound travelers, both before and after the impact of the health crisis. In 2023, this region alone accounted for roughly ** percent of global inbound tourist arrivals. Meanwhile, Asia and the Pacific recorded the second-highest number of inbound tourist arrivals worldwide in 2023.

In the industries of travel, entertainment, and transportation, success hinges on understanding the intricate web of locations that shape consumer experiences. dataplor's comprehensive location intelligence dataset offers an unparalleled view into this global landscape, providing businesses and organizations with the actionable insights they need to thrive.

What's Inside the Dataset: - Venue Variety: From airports and resorts to entertainment venues and transportation hubs, our dataset covers a vast array of locations that define the TET landscape. - Detailed Profiles: Delve into the specifics of each venue, including official names, addresses, and more. - Categorization: Gain a clear understanding of each location's role within the industry through precise categorization by segment (travel, entertainment, transportation) and sub-category (e.g., athletic club, beer hall, comedy club, luxury hotel). - Location Precision: Pinpoint the exact location of each venue with latitude and longitude coordinates, ensuring accuracy for mapping, analysis, and decision-making.

How Our Data Drives Success: - Strategic Planning: Identify untapped markets, assess competition, and make informed decisions about new ventures or expansions. - Targeted Marketing: Develop tailored marketing campaigns that resonate with specific audiences based on location demographics and interests. - Resource Optimization: Improve operational efficiency by understanding the distribution and utilization of transportation infrastructure and entertainment venues. - Enhanced Customer Experiences: Utilize data-driven insights to create personalized experiences that meet the unique needs and preferences of travelers and consumers.

Empower Your Strategy: dataplor's Global Travel, Entertainment & Transportation Locations Dataset is your key to unlocking the full potential of the travel, entertainment, and transportation industries. With our precise, comprehensive, and up-to-date data, you'll gain the competitive edge needed to navigate this dynamic landscape and achieve your business goals.

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).

United States Ave Vehicle Miles Traveled per Household: 2 or More Persons data was reported at 33,600.000 Mile in 2009. This records a decrease from the previous number of 33,800.000 Mile for 2001. United States Ave Vehicle Miles Traveled per Household: 2 or More Persons data is updated yearly, averaging 33,600.000 Mile from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 33,800.000 Mile in 2001 and a record low of 29,200.000 Mile in 1991. United States Ave Vehicle Miles Traveled per Household: 2 or More Persons data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA005: Vehicles Miles Traveled per Household.

The number of tourist arrivals from the United States to Europe grew significantly in 2023 over the previous year, exceeding pre-pandemic levels. In 2023, Southern and Mediterranean European countries were the region's most visited destinations by U.S. travelers, with over ** million arrivals.

Reporting of new Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.

Aggregate Data Collection Process Since the start of the COVID-19 pandemic, data have been gathered through a robust process with the following steps:

• A CDC data team reviews and validates the information obtained from jurisdictions’ state and local websites via an overnight data review process.
• If more than one official county data source exists, CDC uses a comprehensive data selection process comparing each official county data source, and takes the highest case and death counts respectively, unless otherwise specified by the state.
• CDC compiles these data and posts the finalized information on COVID Data Tracker.
• County level data is aggregated to obtain state and territory specific totals.

This process is collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provide the most up-to-date numbers on cases and deaths by report date. CDC may retrospectively update counts to correct data quality issues.

Methodology Changes Several differences exist between the current, weekly-updated dataset and the archived version:

• Source: The current Weekly-Updated Version is based on county-level aggregate count data, while the Archived Version is based on State-level aggregate count data.
• Confirmed/Probable Cases/Death breakdown:  While the probable cases and deaths are included in the total case and total death counts in both versions (if applicable), they were reported separately from the confirmed cases and deaths by jurisdiction in the Archived Version.  In the current Weekly-Updated Version, the counts by jurisdiction are not reported by confirmed or probable status (See Confirmed and Probable Counts section for more detail).
• Time Series Frequency: The current Weekly-Updated Version contains weekly time series data (i.e., one record per week per jurisdiction), while the Archived Version contains daily time series data (i.e., one record per day per jurisdiction).
• Update Frequency: The current Weekly-Updated Version is updated weekly, while the Archived Version was updated twice daily up to October 20, 2022.

Important note: The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts.

Confirmed and Probable Counts In this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report probable cases and deaths to CDC.* Confirmed and probable case definition criteria are described here:

Council of State and Territorial Epidemiologists (ymaws.com).

Deaths CDC reports death data on other sections of the website: CDC COVID Data Tracker: Home, CDC COVID Data Tracker: Cases, Deaths, and Testing, and NCHS Provisional Death Counts. Information presented on the COVID Data Tracker pages is based on the same source (total case counts) as the present dataset; however, NCHS Death Counts are based on death certificates that use information reported by physicians, medical examiners, or coroners in the cause-of-death section of each certificate. Data from each of these pages are considered provisional (not complete and pending verification) and are therefore subject to change. Counts from previous weeks are continually revised as more records are received and processed.

Number of Jurisdictions Reporting There are currently 60 public health jurisdictions reporting cases of COVID-19. This includes the 50 states, the District of Columbia, New York City, the U.S. territories of American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, Puerto Rico, and the U.S Virgin Islands as well as three independent countries in compacts of free association with the United States, Federated States of Micronesia, Republic of the Marshall Islands, and Republic of Palau. New York State’s reported case and death counts do not include New York City’s counts as they separately report nationally notifiable conditions to CDC.

CDC COVID-19 data are available to the public as summary or aggregate count files, including total counts of cases and deaths, available by state and by county. These and other data on COVID-19 are available from multiple public locations, such as:

https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

https://www.cdc.gov/covid-data-tracker/index.html

https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

https://www.cdc.gov/coronavirus/2019-ncov/php/open-america/surveillance-data-analytics.html

Additional COVID-19 public use datasets, include line-level (patient-level) data, are available at: https://data.cdc.gov/browse?tags=covid-19.

Archived Data Notes:

November 3, 2022: Due to a reporting cadence issue, case rates for Missouri counties are calculated based on 11 days’ worth of case count data in the Weekly United States COVID-19 Cases and Deaths by State data released on November 3, 2022, instead of the customary 7 days’ worth of data.

November 10, 2022: Due to a reporting cadence change, case rates for Alabama counties are calculated based on 13 days’ worth of case count data in the Weekly United States COVID-19 Cases and Deaths by State data released on November 10, 2022, instead of the customary 7 days’ worth of data.

November 10, 2022: Per the request of the jurisdiction, cases and deaths among non-residents have been removed from all Hawaii county totals throughout the entire time series. Cumulative case and death counts reported by CDC will no longer match Hawaii’s COVID-19 Dashboard, which still includes non-resident cases and deaths. 

November 17, 2022: Two new columns, weekly historic cases and weekly historic deaths, were added to this dataset on November 17, 2022. These columns reflect case and death counts that were reported that week but were historical in nature and not reflective of the current burden within the jurisdiction. These historical cases and deaths are not included in the new weekly case and new weekly death columns; however, they are reflected in the cumulative totals provided for each jurisdiction. These data are used to account for artificial increases in case and death totals due to batched reporting of historical data.

December 1, 2022: Due to cadence changes over the Thanksgiving holiday, case rates for all Ohio counties are reported as 0 in the data released on December 1, 2022.

January 5, 2023: Due to North Carolina’s holiday reporting cadence, aggregate case and death data will contain 14 days’ worth of data instead of the customary 7 days. As a result, case and death metrics will appear higher than expected in the January 5, 2023, weekly release.

January 12, 2023: Due to data processing delays, Mississippi’s aggregate case and death data will be reported as 0. As a result, case and death metrics will appear lower than expected in the January 12, 2023, weekly release.

January 19, 2023: Due to a reporting cadence issue, Mississippi’s aggregate case and death data will be calculated based on 14 days’ worth of data instead of the customary 7 days in the January 19, 2023, weekly release.

January 26, 2023: Due to a reporting backlog of historic COVID-19 cases, case rates for two Michigan counties (Livingston and Washtenaw) were higher than expected in the January 19, 2023 weekly release.

January 26, 2023: Due to a backlog of historic COVID-19 cases being reported this week, aggregate case and death counts in Charlotte County and Sarasota County, Florida, will appear higher than expected in the January 26, 2023 weekly release.

January 26, 2023: Due to data processing delays, Mississippi’s aggregate case and death data will be reported as 0 in the weekly release posted on January 26, 2023.

February 2, 2023: As of the data collection deadline, CDC observed an abnormally large increase in aggregate COVID-19 cases and deaths reported for Washington State. In response, totals for new cases and new deaths released on February 2, 2023, have been displayed as zero at the state level until the issue is addressed with state officials. CDC is working with state officials to address the issue.

February 2, 2023: Due to a decrease reported in cumulative case counts by Wyoming, case rates will be reported as 0 in the February 2, 2023, weekly release. CDC is working with state officials to verify the data submitted.

February 16, 2023: Due to data processing delays, Utah’s aggregate case and death data will be reported as 0 in the weekly release posted on February 16, 2023. As a result, case and death metrics will appear lower than expected and should be interpreted with caution.

February 16, 2023: Due to a reporting cadence change, Maine’s

The United States of America was the largest source of foreign tourists arriving to India in 2022 at over 1,373 thousand visitors. American tourists have been outnumbering the tourists that visit the country from other European and South Asian countries in 2022. In 2022, citizens from Bangladesh, the United States of America, and the United Kingdom had the highest number of tourists visiting India. Sliding foreign revenue   According to the data, most Bangladeshi tourists visited India for leisure travel. Moreover, leisure spending was also the highest contributor to the foreign tourism revenue for India. However, the growth in foreign exchange earnings was the slowest this decade, with just over 4.7 percent in 2018. Borders dictating tourism
Bangladesh and India share the fifth-longest land border in the world. This might also explain the high tourism influx from Bangladesh to India. Although from the point of view of the Indian government, there seems to be a thin line between tourism and illegal immigration. Managing the complex Indo-Bangladeshi border running through five Indian states is a herculean task, which needs constant monitoring. Risks of cross-border infiltration, illegal migration and smuggling remain major national security challenges for India.

Ave Vehicle Miles Traveled per Household: 4 or More Licensed Drivers data was reported at 55,200.000 Mile in 2009. This records an increase from the previous number of 47,200.000 Mile for 2001. Ave Vehicle Miles Traveled per Household: 4 or More Licensed Drivers data is updated yearly, averaging 47,200.000 Mile from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 55,200.000 Mile in 2009 and a record low of 40,500.000 Mile in 1991. Ave Vehicle Miles Traveled per Household: 4 or More Licensed Drivers data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA005: Vehicles Miles Traveled per Household.

Key information about United States Tourism Revenue

• United States's Tourism Revenue reached 18 USD bn in May 2023, compared with 17 USD bn in the previous month
• United States's Tourism Revenue data is updated monthly, available from Jan 1999 to May 2023
• The data reached an all-time high of 20,819 USD mn in Mar 2018 and a record low of 3,835 USD mn in Sep 2020

National Travel and Tourism Office provides monthly Tourism Revenue in USD.

Tourism Revenues in the United States increased to 21584 USD Million in April from 20071 USD Million in March of 2025. This dataset provides - United States Tourism Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

 In 2024, approximately *** million visitors from China arrived in the United States, representing a significant increase from the previous year. Before the outbreak of the coronavirus pandemic, around **** million arrivals were recorded for the year 2019. Tourism in the United States In 2024, the United States had more than ** million international visitors, where the majority of visitors to the United States came from the North American countries Canada and Mexico, with China being the fourth biggest source of Asian tourists, after India, Japan, and South Korea. However, in terms of travel spending in the United States, in 2023, Chinese tourists were estimated to have spent more than any other Asian country, explaining the increasingly important role played by Chinese tourists among other international tourists. Outbound tourism from China In the past decade, the number of outbound Chinese tourists has soared threefold, with the vast majority of trips being made for private purpose. The United States was one of the popular international travel destinations among Chinese a few years back, despite Thailand, Japan, and Vietnam still being very popular potentially due to the shorter distance to travel. Chinese tourists also became more willing to spend when they travel. The share of outbound tourism expenditure in China’s GDP exceeded *** percent for several years before the coronavirus pandemic.

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Cultural Tourism Market Size 2025-2029

The cultural tourism market size is forecast to increase by USD 8.41 billion, at a CAGR of 18.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing number of individuals seeking unique, immersive experiences to alleviate stress and enrich their personal growth. This trend is further fueled by the burgeoning adoption of advanced technologies such as augmented reality (AR) and virtual reality (VR) in cultural tourism, enabling travelers to explore historical sites and artifacts in a more engaging and interactive manner. However, this market faces challenges as well. Overtourism, or the excessive concentration of tourists in specific locations, poses a threat to the preservation of cultural heritage sites and the local communities that rely on tourism.
Addressing this issue through sustainable tourism practices and effective crowd management strategies is essential for companies seeking to capitalize on the opportunities presented by the market while mitigating potential risks. By focusing on innovative solutions that cater to the evolving needs and preferences of travelers, while respecting and preserving cultural heritage, businesses can differentiate themselves and thrive in this dynamic and growing market.

What will be the Size of the Cultural Tourism Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by the increasing demand for authentic and immersive experiences. Crowd control and tourism infrastructure remain key concerns as cultural heritage sites attract large numbers of visitors. Digital guides and mobile applications enhance the visitor experience, offering GPS navigation, augmented reality, and interactive exhibits. Economic impact is a significant factor, with art galleries, language courses, and adventure tourism contributing to local economies. Visitor management systems and travel advisories ensure responsible tourism practices, while travel agencies and tourist information centers facilitate seamless travel experiences. Visa requirements and health precautions are essential considerations for tourists.

Sustainable tourism initiatives, such as waste management and cultural preservation, minimize environmental impact. Experiential tourism and educational tourism provide unique learning opportunities, while medical tourism caters to health-conscious travelers. Social media marketing and community-based tourism foster authentic connections with local communities. Cultural exchange programs promote cross-cultural understanding. Wellness tourism and religious tourism cater to specific niche markets, offering spiritual and rejuvenating experiences. Immersive technologies, such as virtual reality and tourist guides, bring history to life. Rural tourism and urban tourism offer diverse experiences, appealing to various travel preferences. Tourism policies and online booking platforms shape the industry, ensuring efficient and accessible travel experiences.

Ongoing trends include the integration of technology and the emphasis on sustainable and responsible tourism practices. The market continues to unfold, offering endless opportunities for exploration and discovery.

How is this Cultural Tourism Industry segmented?

The cultural tourism industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Domestic cultural tourism
  International cultural tourism


Service

  Cultural eco-tourism
  Indigenous cultural tourism
  Socio-cultural tourism


Application

  Leisure
  Religious pilgrimage
  Education
  Research


Traveler Type

  Solo Travelers
  Group Travelers
  Families


Geography

  North America

    US


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The domestic cultural tourism segment is estimated to witness significant growth during the forecast period.

In the dynamic the market, domestic tourism is experiencing a significant surge, fueled by the quest for genuine experiences, technological innovations, and government incentives promoting local heritage. Mobile applications serve as essential tools, granting travelers instant access to detailed guides, maps, and cultural information for their destinations. This convenience and ease of use enhance the planning and navigation process for cultural tours. Virtual Reality (VR) and Augmented Reality (AR) applications have gained popularity, offering immersive experiences that enable u

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.