Travel agents are responsible for helping travelers select and organize a trip according to a specific budget. They can be found in both brick-and-mortar establishments and online. The travel agency industry's global revenue was estimated at over *** billion U.S. dollars as of March 2025. As of that month, roughly ******* businesses operated in this market, with employment reaching approximately ***** million.

Monthly U.S. citizen departures are collected and reported in Tourism Industries U.S. International Air Travel Statistics (I-92 data) Program.

Domestic travel and tourism spending worldwide grew by roughly 18 percent in 2023 compared to the previous year, recovering from the impact of COVID-19. Overall, the total travel and tourism expenditure by domestic visitors worldwide amounted to approximately 4.86 trillion U.S. dollars in 2023, the highest figure reported to date.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of travel agencies (NAICS 56151) & tour operators (NAICS 56152) & other travel arrangement and reservation services (NAICS 56159), annual, for five years of data.

Quarterly estimates of overseas residents’ visits and spending. Also includes data on nights, purpose, region of UK visited and mode of travel. Breakdowns by nationality and area of residence are covered. This dataset is published quarterly. The versions published for Quarters 1 (Jan to Mar), 2 (Apr to June) and 3 (July to Sept) are on a separate webpage under the name "Estimates of overseas residents' visits and spending".

Updates are delayed due to technical difficulties. How many people are staying at home? How far are people traveling when they don’t stay home? Which states and counties have more people taking trips? The Bureau of Transportation Statistics (BTS) now provides answers to those questions through our new mobility statistics. The Trips by Distance data and number of people staying home and not staying home are estimated for the Bureau of Transportation Statistics by the Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland. The travel statistics are produced from an anonymized national panel of mobile device data from multiple sources. All data sources used in the creation of the metrics contain no personal information. Data analysis is conducted at the aggregate national, state, and county levels. A weighting procedure expands the sample of millions of mobile devices, so the results are representative of the entire population in a nation, state, or county. To assure confidentiality and support data quality, no data are reported for a county if it has fewer than 50 devices in the sample on any given day. Trips are defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Home locations are imputed on a weekly basis. A movement with multiple stays of longer than 10 minutes before returning home is counted as multiple trips. Trips capture travel by all modes of transportation. including driving, rail, transit, and air. The daily travel estimates are from a mobile device data panel from merged multiple data sources that address the geographic and temporal sample variation issues often observed in a single data source. The merged data panel only includes mobile devices whose anonymized location data meet a set of data quality standards, which further ensures the overall data quality and consistency. The data quality standards consider both temporal frequency and spatial accuracy of anonymized location point observations, temporal coverage and representativeness at the device level, spatial representativeness at the sample and county level, etc. A multi-level weighting method that employs both device and trip-level weights expands the sample to the underlying population at the county and state levels, before travel statistics are computed. These data are experimental and may not meet all of our quality standards. Experimental data products are created using new data sources or methodologies that benefit data users in the absence of other relevant products. We are seeking feedback from data users and stakeholders on the quality and usefulness of these new products. Experimental data products that meet our quality standards and demonstrate sufficient user demand may enter regular production if resources permit.

Tourist Arrivals in the United States increased to 5410331 in March from 4636160 in February of 2025. This dataset provides - United States Tourist Arrivals- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Monthly estimates of overseas residents’ visits and spending and visits and spending abroad by UK or Great Britain residents. Also includes data on purpose of visit, area visited by UK residents and area of residence for overseas residents.

This chart offers a detailed view of the estimated sales amounts for Travel stores across different regions. In United States, the sales figures are particularly impressive, with the region generating $26.53B, which accounts for 41.93% of the total sales in this category. United Kingdom follows with robust sales, totaling $7.21B and representing 11.39% of the overall sales. Unknown also contributes significantly to the market with sales amounting to $1.63B, making up 2.58% of the total. These numbers not only illustrate the economic vitality of each region in the Travel market but also highlight regional consumer preferences and spending power.

Global business tourism spending was estimated to reach approximately *** trillion U.S. dollars in 2024, which represents a full recovery from the COVID-19 pandemic. Business travel is a branch of the tourism industry focusing on trips made for work-related purposes. Attending congresses, meetings, and trade fairs, for instance, are among the main activities related to this market. How did the COVID-19 pandemic hit domestic and international business trips? After the outbreak of the coronavirus (COVID-19) pandemic in 2020, companies worldwide had to revisit their trip plans, as different restrictions adopted across the world disrupted global travel. According to a study by the Global Business Travel Association (GBTA), the share of companies canceling most or all domestic business trips worldwide reached ** percent as of October 2021. Meanwhile, almost ***** in *** surveyed firms suspended international business travel as of the same month. Which company spent the most on booked air volume in the U.S.? As the pandemic hit the business travel market hard in 2020, it comes as no surprise that the volume of air tickets purchased by companies in the United States experienced a sharp decline due to the health crisis. While Deloitte spent over *** million U.S. dollars on air travel in 2019, it reported an expenditure of ** million U.S. dollars in 2020. That year, the company ranked as the second leading air travel spender in the U.S. behind Amazon.

AW: International Tourism: Receipts: for Travel Items data was reported at 1.076 USD bn in 2020. This records a decrease from the previous number of 2.104 USD bn for 2019. AW: International Tourism: Receipts: for Travel Items data is updated yearly, averaging 1.155 USD bn from Dec 1995 (Median) to 2020, with 26 observations. The data reached an all-time high of 2.104 USD bn in 2019 and a record low of 521.000 USD mn in 1995. AW: 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 Aruba – Table AW.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;

Sweden SE: International Tourism: Expenditures: for Travel Items data was reported at 14.480 USD bn in 2016. This records an increase from the previous number of 14.410 USD bn for 2015. Sweden SE: International Tourism: Expenditures: for Travel Items data is updated yearly, averaging 10.089 USD bn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 15.823 USD bn in 2014 and a record low of 5.448 USD bn in 1995. Sweden SE: International Tourism: Expenditures: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank.WDI: Tourism Statistics. International tourism expenditures are expenditures of international outbound visitors in other countries. 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 may include expenditures by residents traveling abroad as 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;

AutoScraping’s Travel Agents Contact Data is a unique and comprehensive dataset that provides detailed and verified information on 9,000 travel agents across the USA, LATAM, and Europe. This data product is specifically designed for businesses looking to expand their reach in the travel and tourism industry. It offers key insights and direct access to professionals in one of the most dynamic and globally connected sectors.

What Makes Our Data Unique? Our dataset stands out for its high level of accuracy and completeness. Each record is meticulously verified to ensure the highest quality, providing up-to-date contact information, including email addresses and phone numbers. The data is sourced from reliable industry channels and continuously updated to maintain relevance and integrity. Additionally, all data is GDPR-compliant, guaranteeing that your marketing and outreach efforts are effective and legally sound.

How Is the Data Generally Sourced? The data is collected through automated scraping techniques and manual verification processes. We target reputable sources such as travel industry directories, professional networking sites, and publicly available information from company websites. Each record is then cross-referenced and validated to confirm its authenticity and accuracy, providing you with a trustworthy dataset that you can rely on for various business applications.

Primary Use-Cases and Verticals The primary use cases for this data product include:

Marketing and Sales Outreach: Leverage our comprehensive contact information to reach out directly to travel agents in your target regions. This is ideal for travel, hospitality, and tourism companies looking to promote their services, launch marketing campaigns, or establish partnerships. Business Development: Use this dataset to identify potential partners, collaborators, or clients in the travel industry. With detailed insights into the agents' locations and areas of specialization, you can tailor your business development strategies effectively. Market Research and Analysis: Analyze trends and opportunities within the travel industry across different regions. This data is valuable for market researchers and analysts who want to understand the competitive landscape and make data-driven decisions. Event Promotion: If you organize events, workshops, or conferences in the travel sector, this dataset allows you to invite and connect with key industry players most likely to be interested in your events. Coverage and Attributes The dataset covers many geographies, including the United States, Latin America, and Europe, making it a versatile resource for global business strategies. It includes:

Geographic Coverage: USA, LATAM, Europe. Contact Information: Verified email addresses and phone numbers. Industry Focus: Travel agents with expertise in various travel segments such as leisure, corporate travel, luxury travel, and more. Compliance: GDPR-compliant, ensuring your outreach efforts are legally protected. Scale & Quality Indicators Our dataset includes 9,000 meticulously verified records, ensuring a high degree of accuracy and completeness. We use a rigorous verification process to cross-check and validate each entry, reducing the likelihood of outdated or incorrect information. This makes it an excellent choice for businesses that require reliable data for high-stakes applications, such as sales, marketing, and strategic planning.

How Does This Data Product Fit into Our Broader Data Offering? AutoScraping is dedicated to providing high-quality, customized datasets across various industries and geographies. Our Travel Agents Contact Data is part of our broader portfolio of data products, which includes datasets tailored to sectors like finance, real estate, and e-commerce. Our mission is to empower businesses with the data they need to make informed decisions, identify opportunities, and drive growth.

This dataset complements our other offerings by providing specific, actionable insights into the travel industry, characterized by its rapid growth and high competition. By incorporating this dataset into your business intelligence arsenal, you can gain a competitive edge and build stronger connections in the travel market.

Why Choose AutoScraping? With over a decade of experience in data extraction and verification, AutoScraping is a trusted partner for businesses seeking high-quality, reliable data. Our commitment to accuracy, compliance, and customer satisfaction sets us apart in the industry. Whether you want to expand your market presence, refine your business strategies, or conduct in-depth market research, our datasets are designed to meet your needs.

Investing in our Travel Agents Contact Data means you are not just acquiring information but gaining a powerful tool to drive your business forward. Our team is here to support you with any customization needs, ensuring that the data you receive perfectly al...

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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Aruba AW: International Tourism: Expenditures: for Travel Items data was reported at 306.000 USD mn in 2020. This records a decrease from the previous number of 389.000 USD mn for 2019. Aruba AW: International Tourism: Expenditures: for Travel Items data is updated yearly, averaging 243.000 USD mn from Dec 1995 (Median) to 2020, with 26 observations. The data reached an all-time high of 389.000 USD mn in 2019 and a record low of 73.000 USD mn in 1995. Aruba AW: International Tourism: Expenditures: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Aruba – Table AW.World Bank.WDI: Tourism Statistics. International tourism expenditures are expenditures of international outbound visitors in other countries. 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 may include expenditures by residents traveling abroad as 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;

Dataset shows an individual’s statistical area 2 (SA2) of usual residence and the SA2 of their workplace address, for the employed census usually resident population count aged 15 years and over, by main means of travel to work from the 2018 and 2023 Censuses.

The main means of travel to work categories are:

• Work at home
• Drive a private car, truck, or van
• Drive a company car, truck, or van
• Passenger in a car, truck, van, or company bus
• Public bus
• Train
• Bicycle
• Walk or jog
• Ferry
• Other.

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Main means of travel to work is the usual method which an employed person aged 15 years and over used to travel the longest distance to their place of work.

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Workplace address refers to where someone usually works in their main job, that is the job in which they worked the most hours. For people who work at home, this is the same address as their usual residence address. For people who do not work at home, this could be the address of the business they work for or another address, such as a building site.

Workplace address is coded to the most detailed geography possible from the available information. This dataset only includes travel to work information for individuals whose workplace address is available at SA2 level. The sum of the counts for each region in this dataset may not equal the total employed census usually resident population count aged 15 years and over for that region. Workplace address – 2023 Census: Information by concept has more information.

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This dataset can be used in conjunction with the following spatial files by joining on the SA2 code values:

• Statistical area 2 2023 (generalised)
• Statistical area 2 2023 (Centroid Inside)

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Download data table using the instructions in the Koordinates help guide.

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Footnotes

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Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

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Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city. 

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Population counts

Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts. 

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Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data).

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Workplace address time series

Workplace address time series data should be interpreted with care at lower geographic levels, such as statistical area 2 (SA2). Methodological improvements in 2023 Census resulted in greater data accuracy, including a greater proportion of people being counted at lower geographic areas compared to the 2018 Census. Workplace address – 2023 Census: Information by concept has more information.

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Working at home

In the census, working at home captures both remote work, and people whose business is at their home address (e.g. farmers or small business owners operating from their home). The census asks respondents whether they ‘mostly’ work at home or away from home. It does not capture whether someone does both, or how frequently they do one or the other.

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Rows excluded from the dataset

Rows show SA2 of usual residence by SA2 of workplace address. Rows with a total population count of less than six have been removed to reduce the size of the dataset, given only a small proportion of SA2-SA2 combinations have commuter flows.

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About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

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Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

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Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

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Main means of travel to work quality rating

Main means of travel to work is rated as moderate quality.

Main means of travel to work – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Workplace address quality rating

Workplace address is rated as moderate quality.

Workplace address – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

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Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

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Percentages

To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.

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Symbol

-999 Confidential

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Inconsistencies in definitions

Please note that there may be differences in definitions between census classifications and those used for other data collections.

The chart provides an insightful analysis of the estimated sales amounts for Travel stores across various platforms. WooCommerce stands out, generating a significant portion of sales with an estimated amount of $24.09B, which is 38.08% of the total sales in this category. Following closely, Custom Cart accounts for $22.37B in sales, making up 35.36% of the total. Shopify also shows notable performance, contributing $6.41B to the total sales, representing 10.13%. This data highlights the sales dynamics and the varying impact of each platform on the Travel market.

This table contains 15 series, with data for years 1997 - 2012 (not all combinations necessarily have data for all years), and was last released on 2015-06-23. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), North American Industry Classification System (NAICS) (3 items: Travel agencies; Other travel arrangement and reservation services; Tour operators ...), Summary statistics (5 items: Operating revenue; Operating expenses; Salaries; wages and benefits; Operating profit margin ...).

PK: International Tourism: Receipts: for Travel Items data was reported at 323.000 USD mn in 2016. This records an increase from the previous number of 317.000 USD mn for 2015. PK: International Tourism: Receipts: for Travel Items data is updated yearly, averaging 218.500 USD mn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 373.000 USD mn in 2011 and a record low of 74.000 USD mn in 1999. PK: 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 Pakistan – Table PK.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;