Travel Survey of Residents of Canada (TSRC)
Detailed information for third quarter 2016
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 - March 2, 2017
- Questionnaire(s) and reporting guide(s)
- Data sources and methodology
- Data accuracy
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. In 2011, TSRC underwent a redesign. Please refer to the document entitled "Differences Between the 2011 Redesigned TSRC and the 2010 TSRC" for an explanation of the differences between TSRC from 2006-2010 and TSRC in 2011.
The TSRC is sponsored by Statistics Canada, Destination Canada, the provincial governments and municipal organizations of tourism. 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 and provincial level (with varying degrees of precision) on:
- total volume of same-day and overnight trips taken by 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 household-nights spent in each location visited in Canada, in total and by type of accommodation used,
- use of travel packages and associated spending and 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, Destination Canada, the provinces, and tourism boards. Other users include the media, businesses, consultants and researchers.
Collection period: During the month following the reference month
- Domestic travel
- Travel and tourism
Data sources and methodology
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.
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 (now Destination Canada), 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 the 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.
In addition, the TSRC questionnaire was assessed at Statistics Canada by the Questionnaire Design Resource Centre and tested internally. Starting in 2009-2010, the TSRC team worked in collaboration with the pan-Canadian task force to redesign the TSRC questionnaire. All were consulted in order to identify the questions or variables that could be removed, changed or improved and on the implementation of new efficiencies while building the questionnaire and the collection application itself. It had some impact on the way some questions are now asked.
Some effort was also spent on harmonizing questions such as activities, accommodations and transportation modes with the International Travel Survey (ITS).
Methodologists tested the best approach to sub-sampling of trips that would enable the collection of a maximum number of trips within the 15 minute interview time limit to get as much detailed information as possible. Focus groups were held in March 2010 to obtain feedback from respondents on their overall impressions of and reactions to the proposed content and questions, their understanding of the concepts, terminology, questions and response categories, their ability to accurately report the main reason for taking each reported trip (two scenarios for these questions were tested), the availability of the information requested and the respondents' ability and willingness to answer the questions. The outcome of the testing led to changes to the flow for the main reason questions and to changes to some wording to make some concepts clearer to the respondents.
To finalize the application, testing was held in the Sturgeon Falls regional office in September 2010. The purpose of this test was to have experienced interviewers go through varied pre-determined paths in the application to assess the changes and suggest improvements where applicable. This was an opportunity to express any concerns about the revised content and collection.
From 2012 to 2015, the TSRC team worked in collaboration with other divisions of Statistics Canada involved in the collection, processing, weighting and dissemination of the data to develop an electronic version of the TSRC questionnaire. This electronic questionnaire was used for the first time in April 2015.
This is a sample survey with a cross-sectional design.
The Travel Survey of Residents of Canada (TSRC) is a voluntary supplement to the Labour Force Survey (LFS). 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 mandatory survey of about 56,000 households that provides official estimates of employment and unemployment in Canada with a 90% response rate. Of these responding households, the TSRC has a slightly lower response rate of 70 to 75%.
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 18 years of age or older from the selected household to answer the TSRC questionnaire. Data are collected via a computer-assisted telephone interview (CATI) or an electronic questionnaire (EQ) submitted by the respondent.
There are three sampling units in the TSRC sample. At the first stage, the sampling unit is the dwelling. Since TSRC is a voluntary supplement of the Labour Force Survey at the second rotation group, the dwellings selected for the Labour Force Survey are automatically selected for TSRC.
At the second stage, the sampling unit is a person selected from the roster of eligible persons listed in the LFS. In the case of the Electronic Questionnaire application, if the selected person is the respondent of the LFS, the respondent continues with the TSRC EQ. Otherwise, the case is transferred to the CATI application.
At the third stage, the sampling unit is the trip. When a respondent is selected at the second stage, a list of all of the trips taken during the period of reference is produced. A maximum of three trips are selected from the list of all trips provided by the respondent.
The Travel Survey of Residents of Canada is a voluntary supplement of the Labour Force Survey. This implies that the TSRC follows a similar provincial stratification to that of the LFS. The main differences is that the TSRC excludes residents of the three Territories (Yukon, North-west Territories and Nunavut)from the target population.
The TSRC is a voluntary supplement of the Labour Force Survey, which is conducted with the second rotation group of the LFS. The following table provides the sample size by province of the second rotation group of the LFS, as well as the number of eligible households available to the TSRC, and the respondents to the TSRC. From the eligible TSRC households, one respondent is selected for the survey. The respondent will provide a list of all domestic trips taken during the month of reference. If there are 1, 2 or 3 trips listed, then the respondent will be asked to provide detailed information about the trips listed. If the number of trips is larger than 3, then a selection of 3 trips will be done, and the respondent will be asked to provide detailed information for the selected trips only.
Province LFS selected TSRC eligible TSRC responding
households households households
Newfoundland 3,725 3,598 2,776
Prince Edward Island 2,704 2,637 2,058
Nova Scotia 5,642 5,494 4,426
New Brunswick 5,060 4,937 3,816
Quebec 18,975 18,518 14,171
Ontario 25,728 24,225 17,445
Manitoba 9,234 9,009 7,165
Saskatchewan 7,391 7,226 5,645
Alberta 10,202 9,943 7,396
British Columbia 11,679 11,249 8,209
Canada 100,340 96,836 73,107
Data collection for this reference period: 2016-08-21 to 2016-11-24
Responding to this survey is voluntary.
Data are collected directly from survey respondents.
The TSRC is a supplement to the Labour Force Survey (LFS) that collects data from eligible respondents 18 years and older through a self-reported electronic questionnaire (EQ; implemented in April 2015) or an interviewer-administered computer-assisted telephone interview (CATI).
Collection occurs for the survey during 12 consecutive days of the second LFS collection period, starting on a Sunday. In about 40% of cases, including when the respondent has no e-mail or Internet access, a CATI must be done. This is led by the LFS interviewer and usually occurs immediately following the second LFS interview. In addition, many of the respondents who receive the EQ do not complete and submit it on-line within the pre-determined 4-day time limit. For those who do not, they are called back by interviewers to complete the questionnaire using CATI. Approximately 80% of cases end up being collected through CATI (40% at time of second LFS interview and 40% follow-up of original EQ cases).
In the EQ environment, the TSRC will only be activated when the Labour Force survey has been fully or partially completed and the respondent successfully submits their data. The TSRC takes about 15 minutes to complete.
Reminders are sent to potential EQ respondents on the first Monday and Tuesday of the collection period if both the LFS and TSRC have not been completed. A reminder for TSRC will not be sent if the LFS has been completed but not the TSRC. If no TSRC EQ has been received by the Wednesday, the interviewer will call the respondent to conduct a CATI.
In order for a household to be selected for the survey, the following criteria must be met:
¿ the entire LFS survey (for first and second collection period) must have been completed by the same respondent;
¿ there must be only one family living in the household;
¿ a valid phone number must be available;
¿ a valid postal code must be available;
¿ none of the family members can have fictitious names.
Once the respondent has reached the end of the electronic questionnaire, he/she will need to submit their data. When submitted, the data are transferred to Statistics Canada for processing. The case is closed and cannot be re-entered. If a respondent closes their browser without submitting or saving the data then the data are lost.
Cases are automatically transferred to the CATI environment if: the EQ is not completed within the four days, the questionnaire is blank, the questionnaire was suspended / interrupted or the respondent never logged into the case during the EQ data collection period. Interviewers transmit completed CATI questionnaires securely using industry standard encryption protocols, firewalls and encryption layers.
CATI 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.
Prior to 2013, 90% of the interviews were conducted over the telephone by regional office interviewers using CATI. The other 10% were done by interviewers in the field using computer-assisted personal interviews (CAPI). In 2013, the CAPI interviews were dropped. Only CATI interviews were done from January 2013 until April 2015 when EQ were added to the survey.
For information concerning data collection for the Labour Force Survey, please refer to the Methodology section of the Canadian Labour Force Survey document (Catalogue no. 71-526-X) available at this internet address:
View the Questionnaire(s) and reporting guide(s) .
The TSRC computer-assisted telephone interview (CATI) questionnaire incorporates many features that serve to maximize the quality of data collection. There are many edits built into the CATI questionnaire which compare unusual responses and that check for logical inconsistencies. CATI 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 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.
For the TSRC electronic questionnaire (EQ), responses to survey questions are entered directly by the respondents. The electronic questionnaire reduces processing time and costs associated with data entry, transcription errors and data transmission. The responses are sent securely using industry standard encryption protocols, firewalls and encryption layers.
Some editing was done directly at the time the electronic questionnaire was completed. Where the information was outside the range (too large or small) of expected values, or inconsistent with the previous entries, the respondent was prompted, through message screens, to verify the information. However, the respondents had the option of bypassing the edits, and of skipping questions if they did not know the answer or refused to answer. Therefore, the data were subjected to further edit processes after they were submitted to head office. When the electronic data is received, the data is converted to readable text files.
Data are transmitted to Statistics Canada where a series of processing steps occur to prepare the data for dissemination. Verification of the raw data is completed in order to identify inconsistencies. Trip records are validated to ensure that values in critical fields are acceptable. For example, the number of nights is within the logical range, the type of trip is valid, etc.
For the majority of trip records, the coding of the geographic area has been automated and is done in the field during collection. For a small number of records, the coding of the geographic area is manually done at Statistics Canada's head office.
A number of variables have been derived on the data file by combining items from the questionnaire in order to facilitate data analysis. For example, MRDTRIP2, which identifies the main reason for taking the trip, has been derived using several questions from the questionnaire as input into this variable.
Several consistency edits are carried out on the data to verify the relationship between two or more variables. An example of this is the number of adult household members who went on the trip cannot exceed the total number of adult household members.
Expenditure imputation is performed on trip records to ensure that all trips have a valid expenditure. If the system is not able to impute a value, a value of 'not stated' is assigned.
Trip imputation is performed for all non-selected trips. The collection application collected key information for all trips declared by the respondent. Then, through a sub-selection process, only certain trips were selected for collection of additional information. Imputation is done on the non-selected trips using the selected trips as donors.
Outliers identification is done using weighted aggregate data and anomalies are treated.
Two types of imputation are done on TSRC data: trip expenditures imputation and trip imputation.
The trip expenditures imputation is done for expenditure data to ensure that every record has a valid expenditure value for all expenditure categories. All other missing or erroneous values are either corrected or converted to a "not stated" code.
Expenditure values are imputed based on the average expenditure for this variable from other selected trips with similar characteristics. Common characteristics are used since expenditures vary considerably depending on trip characteristics. Averages are computed for trips with common characteristics like the destination, the duration, the number of people in the travel party, the main reason for the trip, etc. Averages are computed separately for trips from the first and second recall months.
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.
Imputed expenditures are then re-edited to ensure that no outlier values have been created by the expenditure imputation process.
After this procedure, an extra adjustment is performed for same-day trips with identical trips and high expenditures.
The trip imputation is used because of the sub sampling strategy. First, respondents' trips are rostered and basic information is gathered. Then, a subset of the respondents' trips is selected for the collection of additional information (referred to as the detailed trip information).
This strategy leaves all of the detailed trip information variables with missing values for unselected trips. This information is imputed by means of a donor imputation strategy. For each unselected trip (the "recipient") one single trip (the "donor") is selected to impute all the detail variables. The information from this donor is borrowed to fill in the missing values in the recipient. Therefore, it is important to select the donor carefully. Also, note that the imputation is performed separately by collection month.
The process of finding a donor for the unselected trips resembles the way averages are calculated in the expenditures imputation stage. The donor is selected from a set of trips with similar characteristics to the recipient, called "donor pool".
Only trips from the same recall month and trip type (same-day or overnight) as the recipient are considered to be part of the donor pool. These are mandatory matching categories. In addition, trips with high reported total spending are excluded from the donor pools to avoid creating new outliers through imputation.
After the donor pool is finalized, the final donor is selected from the pool using a distance function that indicates how far each of the donors in the pool is from the recipient in terms of some continuous variables. For same-day trips, the donor whose trip distance is closer to the recipient's is chosen. For overnight trips, a more complex distance function, which incorporates the number of nights and the trip distance, is used to select the donor.
Finally, after the donor is selected, all its information is copied over to the recipient. A donor can be used more than once.
TSRC estimates are produced based on survey data to which weights are applied, making it possible to generalize these data to 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). Person records from the second month of collection are also treated for recall bias.
From the person weight, the person-trip weight is derived by adjusting for i) identical trips, ii) the ratio of declared to reported trips, iii) reported trips missing essential data, and iv) trip-level nonresponse. Person-trip weights are also treated for outliers, and records from the second month of collection are adjusted for recall bias. 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 went on the trip. Trip weights are used to estimate expenditures.
The non-response groups are created by estimating response propensity based on demographics and paradata. For each province, person records are clustered in homogeneous response propensity groups. 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. The bootstrap method involves taking sub-samples from the sample and re-weighting. This is done 500 times for the TSRC. 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 and in any given month, there is a large overlap between any two consecutive reference months (because any given interview contributes to the estimates of two consecutive reference months).
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.
Statistics Canada is prohibited by law from releasing any information it collects that 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.
For this reason, identifiers are not included on the public user micro-data file (PUMF), nor are some socio-demographic and geographic variables which could have been used to identify respondents. For the socio-demographic variables that are on the PUMF, they have been grouped into broad categories. In addition, Census Divisions were swapped with neighbouring Census Divisions for some respondents. This swapping was performed in 20% of the Census Divisions containing sample in 2015.
Revisions and seasonal adjustment
The quarterly preliminary results for TSRC are revised when final annual estimates for that year are made available.
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:
- 16.5% and below Acceptable;
- 16.6% to 33.3% Marginal, with cautionary note; and
- Above 33.3% Unacceptable estimate.
Estimates that do not meet an acceptable level of quality are either flagged for caution or suppressed.
The following table provides the observed C.V.s for 2 key variables for the fourth quarter of 2015.
Results for TSRC Q4 2015
Province Total Spending C.V. Person-trips C.V.
Newfoundland 11.58 7.80
Prince Edward Island 12.43 8.61
Nova Scotia 7.62 4.76
New Brunswick 9.18 6.42
Quebec 5.03 3.83
Ontario 4.53 3.74
Manitoba 8.73 5.72
Saskatchewan 6.82 5.46
Alberta 5.30 4.66
British Columbia 6.05 5.57
Canada 2.55 2.04
The Travel Survey of Residents of Canada is a voluntary supplement of the Labour Force Survey.The TSRC overall response rate at estimation for the reference year 2015 was 72.9%. The following table provides the response rates by province for the reference year 2015.
Province Overall TSRC
Newfoundland and Labrador 74.5%
Prince Edward Island 76.1%
Nova Scotia 78.4%
New Brunswick 75.4%
British Columbia 70.3%
As mentioned previously, the TSRC data are collected through either a CATI application or with the help of an Electronic Questionnaire. Additional verification of the data and quality assurance measures were implemented at each step of the data processing cycle to monitor the quality of the data and to minimize the non-sampling errors. These measures included the use of highly skilled interviewers, extensive training of interviewers with respect to the survey procedures and questionnaire, procedures to ensure that data capture errors were minimized, and coding and edit quality checks to verify the processing logic.
The Travel Survey of Residents of Canada (TSRC) is a voluntary 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. As such, the TSRC coverage can be considered equivalent to the LFS coverage. Therefore, the coverage error for TSRC is considered to be low.
The systematic interviewer monitoring system is used for the TSRC computer-assisted telephone interviews (CATI). 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.
- TSRC 2011 Revision Factors
In 2011, the Travel Survey of Residents of Canada (TSRC) was redesigned. The main changes from the 2010 TSRC were: the recall period increased from one to two months; a trip roster was introduced to get details on selected trips; and some questions were changed. More details regarding the changes and their potential impact can be found in the document "Differences Between the 2011 Redesigned TSRC and the 2010 TSRC".
When a survey is redesigned, breaks in time series should be expected. Statistics Canada and TSRC's funding partners agreed that a study to assess the relative magnitude of the redesign impact was necessary.
The approach chosen to assess that magnitude was to model TSRC quarterly data between 2006 and 2010, and to forecast 2011 quarters for the main domestic tourism flows. The forecasted 2011 quarter estimates could then be compared against the 2011 TSRC estimates. This file provides the 2006 to 2011 estimates as well as the 2011 forecast values.
- Differences Between the 2011 Redesigned TSRC and the 2010 TSRC
- Communications for the Travel Survey of Residents of Canada (May 2012)
This document explains the differences between the 2011 TSRC with the new redesigned questionnaire and the 2005 - 2010 TSRC questionnaire. For more detailed information on the differences between the two surveys, see "Differences between the 2011 redesigned TSRC and the 2010 TSRC".
- Communications for the Travel Survey of Residents of Canada (January 24, 2007)
This document explains the differences between the Travel Survey of Residents of Canada (TSRC) and the Canadian Travel Survey (CTS). For more detailed information on the differences between the two surveys, see "Details on the conceptual differences between TSRC and CTS".
- Details on the conceptual differences between TSRC and CTS
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