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Travel Patterns Canadian Travel Patterns

Explore Canadian domestic and international travel behaviours at the 6-digit postal code level with Canadian Travel Patterns.

Canadian Travel Patterns provides 1,100+ variables describing how and where the residents travelled in the past 12 months. For example,

  1. Number of trips and visits by quarter.
  2. Type of trips and visits.
  3. Length of trips and visits.
  4. Country, Province/Territories, Census Metropolitan Area and Tourism Regions of visits and trip destinations.
  5. Type of accommodations.
  6. Spending on visits and trips: accommodation, transportation, food, recreation, shopping (e.g. clothing, footwear, accessories), attractions, etc.
  7. Duration, spending, and number of cities/countries of domestic and international trips.
  8. Details related to travel packages such as cost, type of transportation, number of nights, cruises, cultural or entertainment activities, food and beverage
  9. Activities during trips, e.g., visit friends/families, shopping, sightseeing, etc.

This travel-related information is used by financial institutions, travel companies, the tourism and hospitality industries, and municipalities for pricing, market analysis, trade area analysis, competitive analysis, economic planning, and targeted marketing.

Municipalities can use Canadian Travel Patterns to measure the volume, characteristics, and economics of tourism, as well as identify key markets to promoting their tourism. For example, tourism boards and organizations can identify which provinces, cities and neighbourhoods have more prospects who visit Prince Edward Island.

Airlines and the tourism and hospitality industries can use Canadian Travel Patterns to estimate their market potential, identify gaps, and find their best prospects. For example, Canadian Travel Patterns reveals which postal codes have the most frequent air travellers and heavy spenders on restaurants while on trips.

Canadian Travel Patterns serve as a benchmark for measuring the impact of COVID-19 and predicting the recovery of consumer travel behaviours.

 

Most Recent Update

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2019

Available Geographic Levels

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6-digit postal code, FSA, DA, CT, CSD, CD, and custom geography

Update Frequency

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Annual

Methodology

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This data product is based on the National Travel Survey (NTS) from Statistics Canada. This survey is conducted monthly and results are released quarterly. The sample size in 2019 was 141,186, stratified by province and household income level, representing the population age 18+ in all 10 provinces across Canada. Persons living on Indian reserves and persons living in the territories are excluded in the survey. We used a hybrid approach: non-parametric cluster analysis and predictive modelling with clusters, to extrapolate the survey data to the 6-digit postal code level.

Validation is performed with in- and out-of-phase survey data to ensure the accuracy of the predictions.

Data Format

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CSV

Sample Reports

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Data Dictionary

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How To Get It

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