Travel Survey of Residents of Canada (TSRC)

Detailed information for first quarter 2005





Record number:


The Travel Survey of Residents of Canada (TSRC) is a major source of data used to measure the size and status of Canada's tourism industry. It was developed to measure the volume, the characteristics and the economic impact of domestic travel. Since the beginning of 2005 this survey replaces the Canadian Travel Survey (CTS).

Data release - April 7, 2006


Since the beginning of 2005, the Travel Survey of Residents of Canada (TSRC) has been conducted to measure domestic travel in Canada. It replaces the Canadian Travel Survey (CTS). Featuring several definitional changes and a new questionnaire, this survey provides estimates of domestic travel that are more in line with the international guidelines recommended by the World Tourism Organization (WTO) and the United Nations Statistical Commission.

The Travel Survey of Residents of Canada is sponsored by Statistics Canada, the Canadian Tourism Commission, the provincial governments and some federal organizations. It measures the size of domestic travel in Canada from the demand side. The objectives of the survey are to provide information about the volume of trips and expenditures for Canadian residents by trip origin, destination, duration, type of accommodation used, trip reason, mode of travel, etc.; to provide information on travel incidence and to provide the socio-demographic profile of travellers and non-travellers. Estimates allow quarterly analysis at the national, provincial and tourism region level (with varying degrees of precision) on:

- total volume of same-day and overnight trips taken by the residents of Canada with destinations in Canada,

- same-day and overnight visits in Canada,

- main purpose of the trip/key activities on trip,

- spending on same-day and overnight trips taken in Canada by Canadian residents in total and by category of expenditure,

- modes of transportation (main/other) used on the trip,

- person-visits, household-visits, spending in total and by expense category for each location visited in Canada,

- person- and party-nights spent in each location visited in Canada, in total and by type of accommodation used,

- use of travel packages and associated spending and use of motor coach/other guided tours,

- source of payment (household, government, private employer),

- demographics of adults that took or did not take trips, and

- travel party composition.

The main users of the TSRC data are Statistics Canada, the Canadian Tourism Commission, the provinces, and tourism boards. Other users include the media, businesses, consultants and researchers.


  • Domestic travel
  • Travel and tourism

Data sources and methodology

Target population

The target population is the civilian, non-institutionalized population 18 years of age or older in Canada's ten provinces. Specifically excluded from the survey's coverage are: residents of the Yukon, Northwest Territories, Nunavut, persons living on Indian reserves, full-time members of the Canadian Armed Forces, and persons living in institutions. Together, these groups represent an exclusion of less than 3% of the Canadian population aged 18 and older.

Instrument design

The implementation of the Travel Survey of Residents of Canada (TSRC) in 2005 was planned by a task force composed of members from Statistics Canada, the Canadian Tourism Commission, several tourism provincial organizations/ departments and other federal organizations. This pan-Canadian task force was involved in the development of the concepts, the platform and the content of the questionnaire.

In order to test several components of TSRC, a qualitative study evaluation and a quantitative survey evaluation were held across Canada. The qualitative study evaluation, which included focus group discussions and in-depth interviews in both of Canada's official languages, preceded the quantitative survey evaluation. The goal of the qualitative study was to test a new introduction to the survey and different trip definitions.

The major objective of the quantitative survey evaluation was to recommend an introduction to the survey that would be the most successful in encouraging Canadians to volunteer information on their travel activities, while complying with the Task Force's interpretation of the World Tourism Organization's (WTO) definition of tourism.

Following this work, a pilot test was conducted in two regional offices (Sherbrooke and Edmonton) to test the new questionnaire and whether TRSC could be run on a random digit dialing (RDD) platform. After a cost-benefit analysis it was decided that TSRC would be conducted as a supplement to the Labour Force Survey, as CTS had been.

In addition, the TSRC questionnaire was assessed at Statistics Canada by the Questionnaire Design Resource Centre and tested internally.


This is a sample survey with a cross-sectional design.

The Travel Survey of Residents of Canada (TSRC) is a supplement to the Labour Force Survey. This means that the TSRC is run using one or more subsamples of households that are in the Labour Force Survey (See LFS survey documentation - record number 3701 - for more details on sampling). The Labour Force Survey is a monthly household survey of about 54,000 households that provides official estimates of employment and unemployment in Canada with a 90% response rate. Of these responding households, the CTS had a slightly lower response rate of between 80-85% with a travel incidence rate of about 30%.

The Labour Force Survey sample of individuals is representative of the civilian, non-institutionalized population, 15 years of age or older in Canada's ten provinces. Some people are specifically excluded from the TSRC coverage. These include residents of the Yukon, the Northwest Territories and Nunavut, people living on Native Reserves, full-time members of the Canadian Armed Forces and inmates of institutions. Each month, this survey collects employment data for the week that includes the 15th of the month, during the week after the 15th of the month. Since the Labour Force Survey samples all households in Canada, it is used as a platform to run other household surveys including TSRC.

After the Labour Force Survey questions have been answered, the collection application randomly picks a respondent of 18 of age or older from the selected household who is then asked to respond to the TSRC questionnaire.

Data sources

Responding to this survey is voluntary.

Data are collected directly from survey respondents.

Only households that respond to the Labour Force Survey are included in TSRC. After the labour force questions have been asked, within a selected household, one person 18 years of age or older is randomly selected to respond to TSRC. If this person is available, the interviewer will ask him/her the TSRC questions. If this person is not at home or not available at the time of the LFS data collection, an interviewer will call back later during the data collection period.

The interviews are conducted in 90% percent of the cases over the telephone by regional office interviewers, using the computer-assisted telephone interview (CATI) method. As for the other interviews, they are done by interviewers in the field using computer-assisted personal interviews (CAPI).

Proxy interviews are permitted if the respondent does not speak one of the official languages or is ill or absent for the duration of the collection period.

The systematic interviewer monitoring system implemented in the regional offices in 2002 is also used for TSRC. This is an automated system that enables supervisors to see the interviewer's screen remotely and hear the telephone conversation between the interviewer and the respondent. The monitoring of interviewers serves to improve the collection of information from respondents and thereby enhances the quality of the data published by the survey.

View the Questionnaire(s) and reporting guide(s).

Error detection

The TSRC computer-assisted interview (CAI) questionnaire incorporates many features that serve to maximize the quality of data collection. There are many edits built into the CAI questionnaire that compare unusual responses and that check for logical inconsistencies. CAI controls the sequence of questions in accordance with responses to previous questions. Other checks are also made during the interview to reduce the number of errors attributable to typos and misunderstandings. For example, if the number of nights spent in various types of accommodation does not correspond to the total number of nights spent away from home, an edit message will appear on the screen. The interviewer can then correct the mistake, and less editing has to be performed at the Statistics Canada head office. As well, for each question the interviewer has the possibility to enter "Don't Know" or "Refused" as a valid response if the respondent does not answer the question.

Once data files from the regional offices have been downloaded to head office computers, the data are edited in a series of iterations to detect errors and prepare files for subsequent weighting and expenditure imputation. At this step of preliminary editing, duplicate records are detected and some minor edits are performed.

Subsequent to geocoding the place names, data undergo secondary editing, as described below.

Once linked, files are then subject to further editing. Gross errors, such as variations in the number of nights spent away from home from one question to another, as well as sequencing errors, are reviewed and corrected.

Secondary editing consists of a series of edits that perform more thorough validity checks in order to detect inconsistencies and outliers. This step occurs after the origin and destination place names have been geocoded. Once again, errors are reviewed and corrected.


Expenditure data are the only TSRC data that are imputed. All other missing or erroneous values are either corrected or converted to a "not stated" code. However, all expenditures variables must have a value so that aggregate estimates of expenditures can be produced. A missing expenditure variable is imputed based on the average expenditure for this variable from trips for which this expenditure information has been reported. These "donor" trips are used to compute average expenditure, which is then used to impute the missing expenditure value.

Donor expenditure averages are calculated by type of trip, since expenditures vary considerably depending on trip characteristics. Averages are computed for trips with the following common characteristics: destination; duration (one overnight stay or more vs. same-day); number of people in party; main reason for trip (business or other); type(s) of accommodation; and mode of transportation used.

There must be at least three donor records for each imputation category; if not, trip characteristics are collapsed to a less specific level, and a set of averages is calculated for this higher level of trip type. If there are insufficient donors for this level, trip characteristics are collapsed further and another set of averages is computed. This process is repeated until all levels of collapsing have donor averages computed, using at least three records.

For example, the first level of imputation may involve trips of one or more nights to a Canadian destination, a party of two adults, hotel accommodation, travel by air with business as the reason for the trip. If insufficient numbers of donors are available at this level, then trip characteristics will be collapsed to include trips with any type of commercial accommodation; if sufficient donors are still not available, the characteristics will be collapsed to include trips made for any reason, and so on.

Once a set of donor averages has been computed for all levels of trip characteristics, trips requiring imputation are then matched to the averages of trips with the same characteristics, and the missing expenditures are calculated.

An additional step in the imputation process is the distribution of tour package expenditures to specific expenditure categories. This is accomplished in the same fashion as expenditure imputation: donor averages are used to impute the expected value of the expenditure items included in the package; these imputed amounts are then ratio-adjusted so that their sum matches the total amount reported for the package deal.

Imputed expenditures are then re-edited to ensure that no outlier values have been created by the expenditure imputation process.


TSRC estimates are produced based on survey data to which weights are applied, making it possible to inflate these data to agree with the Canadian non-institutionalized population 18 years and older. The weights calculated to produce estimates are person, trip and person-trip weights.

The starting point in creating the person weights is the Labour Force Survey (record number 3701) sub-weight. The person weight is then adjusted to reflect i) the subsampling of rotation groups, ii) subsampling of people (18+) within a household, iii) non-response and iv) calibration to known control totals (age/sex groups, CMA totals).

From the person weight, the person-trip weight is derived by adjusting for i) similar trips and ii) the ratio of declared to reported trips. These weights are used to estimate trip volume.

Finally, the trip weight is derived by dividing the person-trip weight by the number of adults (18 and over) in the household who accompanied the respondent on the trip. Trip weights are used to estimate expenditures.

The non-response groups are created by using UIR (unemployment insurance region from the Labour Force Survey), the sample design type and rotation group. Within each non-response group, the estimated response rate is computed and the inverse of this rate is used to adjust the weights.

The TSRC uses the coordinated bootstrap method, a replicate based method, for calculating variances. Similar to the regular bootstrap, the coordinated bootstrap takes into account the subtle correlation in the TSRC. This correlation arises because the TSRC is a supplement to the LFS. Each month, 5/6 of the LFS sample is carried over from the previous month. This means that depending on the rotation group, a TSRC household may be contacted for a second time (and possibly a third time in Newfoundland).

Quality evaluation

Data quality is systematically evaluated every quarter. Statistical tables required for analysis are produced and compared with related data sources. A set of indicators is also produced. They are used to determine whether general tourism trends reflect those of the TSRC. Furthermore, we work in close cooperation with provincial tourism departments, which provide additional viewpoints and information sources, helping us evaluate data quality at a more refined geographic level.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

Disclosure of results is very closely monitored, especially with regard to the public use of microdata files. For TSRC the smallest geographical area for which information is available to the public, regarding traveller and travel records, is that of the census division and census metropolitan area. Furthermore, socio-economic variables such as the respondent's age and occupation have been deleted or recoded in order to eliminate any possibility of identification. Before the official disclosure of microdata for TSRC, its content will need to be assessed and approved by the Microdata Release Sub-committee.

Revisions and seasonal adjustment

The quarterly preliminary results for TSRC are revised when final annual estimates for that year are made available.

Data accuracy

Sampling variability is the error in the estimates caused by the fact that we survey a sample of respondents rather than the entire population. Standard error and the related concepts of coefficient of variation (CV) and confidence interval provide an indication of the magnitude of sampling variability. The standard error and coefficient of variation do not measure systematic biases in survey data that might affect estimates. Rather, they are based on the assumption that sampling errors follow a normal probability distribution.

Usually, the larger of the two estimates will have a smaller CV, and therefore be more reliable. Also, for two estimates of the same size, the one associated with a characteristic more evenly distributed throughout the population will tend to have a smaller CV.

Simply speaking, the CV is used to identify three major quality levels of data:

0.0 - 16.5: ACCEPTABLE
16.6 - 33.3: MARGINAL
33.4 or more: UNACCEPTABLE

In TSRC the CV for total visits in Canada is around 1.7% while at the provincial level, it varies from 2.7% for Ontario to 10.0% for Prince Edward Island.

TSRC being an LFS supplement, it has a slightly lower response rate of between 80 and 85%.


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