This dataset provides the annual total number of travellers and conveyances arriving in Canada by region.

This table contains 891 series, with data for years 2006 - 2010 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography, province of destination (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...), Traveller characteristics (42 items: Travel duration, total, same day and overnight travel; Travel duration, same day; Travel duration, overnight; Type of travel, non-residents travel; ...), Type of travel duration (2 items: Total travel; Overnight travel).

This dataset is taken from the dataset (https://www.kaggle.com/datasets/rkiattisak/traveler-trip-data).

International travel by non-Canadians visitors coming to Canada for a trip, by Canadians returning to Canada from a visit abroad and by other non-tourism travellers. This table includes breakdowns by mode of transportation (e.g. plane, automobile (car)) and by duration (same-day, overnight). Seasonally-adjusted data come from Frontier Counts, part of the Tourism Statistics Program.

International travel by non-Canadians visitors coming to Canada for a trip, by Canadians returning from a visit abroad and by other non-tourism travellers (e.g. crew), by port of entry (e.g. airport, border crossing). This table includes breakdowns by mode of transportation (e.g. plane, automobile (car), boat) and by duration (same-day, overnight). Data come from Frontier Counts, part of the Tourism Statistics Program.

Travel Alerts are issued to disseminate information about short-term conditions, generally within a particular country, that pose imminent risks to the security of U.S. citizens. Natural disasters, terrorist attacks, coups, anniversaries of terrorist events, election-related demonstrations or violence, and high-profile events such as international conferences or regional sports events are examples of conditions that might generate a Travel Alert.

The Advanced Traveller Information System Market size was valued at USD 22.78 USD Billion in 2023 and is projected to reach USD 59.61 USD Billion by 2032, exhibiting a CAGR of 14.73 % during the forecast period. Advanced Traveller Information System (ATIS) is a technology platform that provides real-time information to travelers about traffic conditions, public transportation schedules, route options, weather updates, and other relevant travel-related data. ATIS leverages a variety of data sources, including GPS, traffic sensors, social media, and transportation network providers, to offer users accurate and timely information, thereby enhancing their travel experience and enabling more efficient journey planning. ATIS includes the integration of artificial intelligence (AI) and machine learning (ML) to provide predictive analytics and personalized travel recommendations. The use of big data analytics to process vast amounts of travel data for more accurate information is also on the rise. Additionally, there is a trend towards multi-modal travel information systems that combine data from various modes of transportation, such as cars, buses, trains, and bicycles, to offer comprehensive travel solutions. The development of user-friendly mobile applications and the incorporation of voice-activated assistants are also gaining popularity. AI and ML integration, big data analytics, multi-modal information systems, and user-friendly applications as it offer significant opportunities, particularly in emerging urban areas and through collaboration with various stakeholders in the transportation ecosystem. Key drivers for this market are: Increasing Demand for Forged Products in Power, Agriculture, Aerospace, and Defense to Drive Industry Expansion. Potential restraints include: Rising Inclination Towards Electric Vehicles to Restrain the Market Growth..

Domestic leisure travelers contributed the majority of direct travel spending in the United States in 2022, spending over *** billion U.S. dollars. Meanwhile, business travelers spent around *** billion U.S. dollars that year.

An August 2022 survey asked travelers worldwide about their willingness to trust Artificial Intelligence (AI) for trip planning in 2033. Among the different travel aspects considered, accommodation planning had the highest share of respondents who would rely on AI, with ** percent of survey participants indicating they would use it for that purpose.

Travel is changing fast. From shifting consumer behaviors to economic headwinds, tech disruption, and rising demand for sustainability and personalization, the industry is in flux. Many brands are struggling to keep up and then falling behind. TGM Travel Insights 2025 reports deliver what travel brands need most: real market forecasts, deep consumer sentiment, and actionable strategies to stay relevant. Whether you're navigating Gen Z expectations or planning for peak periods, our insights help you move faster, smarter, and with confidence.

Wellness tourism is travel associated with the pursuit of maintaining or enhancing one’s personal wellbeing. Health and wellness tourism has diverse offerings that allow travelers to experience wellness tourism that suits them. This report looks at the health and wellness tourism segment in detail, exploring current and future trends in traveler types and destinations. Read More

The statistic shows the number of readers of selected travel magazine brands in the United States as of June 2019, broken down by platform. According to the data, National Geographic ranked first in terms of print and digital editions with nearly ** million readers. Conde Nast Traveller had the largest video audience and also attracted nearly ***** million readers via mobile.

According to a 2024 study, affluent travelers contributed more significantly to the travel experience market in 2023 compared to 2019. Over the period considered, the share of spending by luxury travelers increased by ** percentage points, with affluent consumers accounting for ** percent of the travel experience market's total expenditure in 2023. That year, visitors with a high-income represented ** percent of all travelers in this market.

The coronavirus (COVID-19) pandemic heavily disrupted travel in 2020 and 2021, forcing travelers to cancel or reschedule their trips due to lockdowns, quarantine obligations, and fear of contracting the virus. According to a September 2021 study, ** percent of surveyed travelers worldwide believed that mobile applications providing on-trip notifications and alerts would help increase their confidence in traveling in the next 12 months. Meanwhile, ** percent of respondents thought that self-service check-in and contactless mobile payments would boost their travel confidence.

The National Travel Survey (NTS) provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism. For the Canadian System of National Accounts, the NTS measures the size of domestic travel in Canada from the demand side. The NTS was developed to fully replace the Travel Survey of Residents of Canada (TSRC record number 3810) and replace the Canadian resident component of the International Travel Survey (ITS record number 3152). The NTS collects information about the domestic and international travel of Canadian residents. The person file provides information on travellers and non-travellers, a traveller being a person aged 18 and over who took at least one trip ending in the reference month and a non-traveller being someone who did not take a trip ending in the reference month. Each respondent to the NTS has one record on the person file. The person microdata file includes basic socio-demographic information on both travellers and non-travellers. It can be used to produce simple socio-demographic profiles and to calculate travel incidences. The person microdata file does not provide information on the volume of trips or person-trips taken but rather on the volume of travellers and non-travellers. If a person travelled more than once during the reference period, that person will be counted as a traveller only once.

Table of INEBase Travelers and overnight stays by traveller residence. Tourist sites. Monthly. Municipalities. Occupation in tourist accommodations

Occupation in tourist accommodations: Travelers and overnight stays by traveller residence. Tourist sites. Monthly. Municipalities.

The Tampa CV Pilot generates data from the interaction between vehicles and between vehicles and infrastructure. This dataset consists of Traveler Information Messages (TIMs) transmitted by road-side units (RSU) located throughout the Tampa CV Pilot Study area. The full set of raw, TIM data from Tampa CV Pilot can be found in the ITS Sandbox. The data fields follow a SAE J2735 TIM message structure to convey important traffic information to onboard units (OBU) of equipped vehicles. Refer to SAE J2735 Section 5.16 Message: MSG_TravelerInformation Message (TIM). This dataset holds a flattened sample of the TIM data from Tampa CV Pilot. Three additional fields were added to this Socrata dataset during ETL: a geo column (travelerdataframe_msgId_position) to allow for mapping of the geocoded TIM data within Socrata, a random number column (randomNum) to allow for random sampling of data points within Socrata, and a time of day generated column (metadata_generatedAt_timeOfDay) to allow for filtering of data by generated time.

This report contains the Bus Mystery Traveller Survey half year results. The survey assesses factors associated with local bus travel, in particular the bus stop / bus shelter, bus punctuality, and the condition of the inside and outside of the bus.

Source agency: Passenger Focus

Designation: National Statistics

Language: English

Alternative title: Bus Mystery Traveller Survey - Half Year Results

Number of trips, number of nights and spending by category for non-resident visitors to Canada, by country, region or continent of residence and by type of transportation used to enter Canada, quarterly. Nights per trip, expenditures per trip and expenditures per night are also presented.