Tourist Arrivals in the United States increased to 5957985 in April from 5410331 in March 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;

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.

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.

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 visited (15 items: Florida; New York; Washington; California; ...) Travel characteristics (3 items: Visits; Nights; Spending in country).

Tourist Arrivals in Israel decreased to 124 Thousand in May from 164 Thousand in April of 2025. This dataset provides - Israel Tourist Arrivals - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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 receipts in Algeria were forecast to continuously increase between 2024 and 2029 by in total 4.5 billion U.S. dollars (+46.01 percent). According to this forecast, in 2029, the tourism receipts will have increased for the sixth consecutive year to 14.3 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 Sudan and Morocco.

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 dataset shows the indicator for the number of international tourists who visited El Salvador, Nicaragua, Honduras, and Guatemala between 1995 and 2022, broken down by total number of tourists and regions of origin: Africa, the Americas, East Asia, and the Pacific. These statistics come from reliable reports that allow monitoring the development of tourism in the region. They have been assessed based on information obtained from the World Tourism Organization (UNWTO).

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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).

The international tourism receipts in Denmark were forecast to continuously increase between 2024 and 2029 by in total 5.9 billion U.S. dollars (+8.78 percent). After the sixth consecutive increasing year, the tourism receipts is estimated to reach 73.2 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 Finland and Sweden.

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.

United States Visitor Arrivals: Africa: Nigeria data was reported at 6,507.000 Person in Mar 2025. This records an increase from the previous number of 4,539.000 Person for Feb 2025. United States Visitor Arrivals: Africa: Nigeria data is updated monthly, averaging 6,072.000 Person from Jan 2000 (Median) to Mar 2025, with 303 observations. The data reached an all-time high of 31,844.000 Person in Aug 2015 and a record low of 44.000 Person in May 2020. United States Visitor Arrivals: Africa: Nigeria 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 absolute economic contribution of tourism in Sweden was forecast to continuously increase between 2024 and 2029 by in total 20.6 billion U.S. dollars (+41.41 percent). After the ninth consecutive increasing year, the economic contribution is estimated to reach 70.3 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 Norway and Iceland.

Our Activity dataset reveals real-world behavior through detailed foot traffic metrics around POIs in the US, Canada, and Mexico — all GDPR-compliant and non-PII.

By capturing total visits, unique visitors, and frequency of visits, our dataset enables a precise view of how consumers move, behave, and engage with locations over time — helping brands uncover demand, evaluate performance, and outpace competitors.

Key data points include: - Total visits, unique visitors, and visit frequency - Daily, weekly, monthly, and quarterly aggregation - Movement patterns around and within trade areas - Cleaned, normalized, and updated daily - Non-PII, GDPR-compliant location intelligence

Ideal for demand sensing, competitive benchmarking, and performance analysis, this dataset helps retail, real estate, and investment teams unlock powerful insights across North America.

Key Table Information.Table Title.Island Areas: Tourist Incentive Act for Puerto Rico: 2022.Table ID.ISLANDAREASIND2022.IA2200SUBJ10.Survey/Program.Economic Census of Island Areas.Year.2022.Dataset.ECNIA Economic Census of Island Areas.Source.U.S. Census Bureau, 2022 Economic Census of Island Areas, Core Statistics.Release Date.2024-12-19.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.2022 Economic Census of Island Areas tables are released on a flow basis from June through December 2024.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe. The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in Puerto Rico, have paid employees, and are classified in one of eighteen in-scope sectors defined by the 2022 NAICS..Sponsor.U.S. Department of Commerce.Methodology.Data Items and Other Identifying Records.Number of establishmentsSales, value of shipments, or revenue ($1,000)Guestrooms as of December 31Range indicating imputed percentage of total sales, value of shipments, or revenueEach record includes an ENCLAW code, which represents a specific tourist incentive act category.The data are shown for tourist incentive act.Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the Economic Census of Island Areas are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for employer establishments and firms that vary by industry:At the Territory level for Puerto RicoFor information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown for Puerto Rico for the 2022 NAICS code 7211.For information about NAICS, see Economic Census Code Lists..Sampling.The Economic Census of Island Areas is a complete enumeration of establishments located in the islands (i.e., all establishments on the sampling frame are included in the sample). Therefore, the accuracy of tabulations is not affected by sampling error..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0044).The primary method of disclosure avoidance protection is noise infusion. Under this method, the quantitative data values such as sales or payroll for each establishment are perturbed prior to tabulation by applying a random noise multiplier (i.e., factor). Each establishment is assigned a single noise factor, which is applied to all its quantitative data value. Using this method, most published cell totals are perturbed by at most a few percentage points.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For more information on disclosure avoidance, see Methodology for the 2022 Economic Census- Island Areas..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Methodology for the 2022 Economic Census- Island Areas.For more information about survey questionnaires, Primary Business Activity/NAICS codes, and NAPCS codes, see Economic Census Technical Documentation..Weights.Because the Economic Census of Island Areas is a complete enumeration, there is no sample weighting..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only.For more information about the survey, see Economic Census- Island Areas..Additional Information.Contact Information.U.S. Census BureauFor genera...

Techsalerator’s Location Sentiment Data for Hungary

Techsalerator’s Location Sentiment Data for Hungary provides a deep analysis of public sentiment across various geographic locations. This dataset is essential for businesses, researchers, and policymakers looking to understand emotional trends and opinions tied to specific areas in Hungary. The data enables insights into customer experiences, regional mood variations, and emerging social trends.

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

Techsalerator’s Location Sentiment Data for Hungary

Techsalerator’s Location Sentiment Data for Hungary delivers structured insights into how people feel about locations, businesses, and public spaces. It is an invaluable tool for market research, urban planning, brand reputation analysis, and customer engagement strategies.

Top 5 Key Data Fields

• Geographic Location – Captures the precise location (city, district, or coordinates) associated with sentiment data.
• Sentiment Score – Measures the overall sentiment (positive, neutral, negative) based on text, reviews, and social media data.
• Emotion Analysis – Categorizes emotions such as happiness, anger, frustration, or excitement tied to a specific place.
• Data Source Type – Identifies whether the sentiment originates from social media, reviews, surveys, or other public data sources.
• Time of Sentiment Capture – Records the timestamp of sentiment data to analyze changes over time.

Top 5 Location Sentiment Trends in Hungary

• Tourism Hotspots Sentiment – Popular tourist destinations like Budapest, Lake Balaton, and Eger show fluctuating sentiment influenced by seasonal trends and visitor experiences.
• Retail & Shopping Experiences – Sentiment analysis in malls and retail areas provides insights into customer satisfaction and emerging market trends.
• Public Transport Perception – Analyzing social sentiment around Budapest's metro, trams, and buses helps in assessing public satisfaction and areas needing improvement.
• Real Estate and Neighborhood Sentiment – Data reveals how residents and newcomers perceive different districts, impacting housing trends and urban development.
• Event-Based Sentiment Fluctuations – Major events such as festivals, sports matches, and political gatherings significantly affect local sentiment dynamics.

Top 5 Applications of Location Sentiment Data in Hungary

• Business Intelligence & Customer Insights – Companies leverage sentiment data to optimize store locations, improve customer service, and refine marketing strategies.
• Urban & Infrastructure Planning – City planners use sentiment trends to enhance public spaces, transportation, and safety measures.
• Brand & Reputation Management – Businesses analyze location-based sentiment to track public perception and mitigate negative feedback.
• Political & Social Analysis – Researchers use sentiment data to assess public opinion on policies, elections, and governance.
• Tourism & Hospitality Enhancement – Hotels, restaurants, and tourism boards use sentiment insights to improve guest experiences and service offerings.

Accessing Techsalerator’s Location Sentiment Data

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

Included Data Fields

• Geographic Location
• Sentiment Score
• Emotion Analysis
• Data Source Type
• Time of Sentiment Capture
• Social Media Mentions
• Review-Based Sentiment
• Event-Based Sentiment
• Location-Based Trends
• Contact Information

For an in-depth understanding of location sentiment trends in Hungary, Techsalerator’s dataset is a vital resource for businesses, researchers, marketers, and urban planners.