Logistics Service Industries Border Survey
Detailed information for 2009
This survey aims to identify the main border issues, impacts and mitigation strategies that logistics service providers have developed while transporting goods or arranging the transport of goods to and from the United States via the Canada-United States border.
Data release - December 10, 2010
- Questionnaire(s) and reporting guide(s)
- Data sources and methodology
- Data accuracy
This survey aims to measure the number of businesses in the logistics service industries operating in Canada experiencing barriers transporting goods to and from the United States via the Canada-United States border and the extent to which these barriers affect strategic decisions.
The results of this survey will be used to enhance government decision-making by providing data for developing programs and policies to promote efficient border crossings between Canada and the United States.
- International trade
- Merchandise exports
- Merchandise imports
Data sources and methodology
The target population for the survey consists of establishments operating in five logistics-related service industries in Canada, and having more than 100 employees. The five industries that are included are:
NAICS 4841 General Freight Trucking
NAICS 4842 Specialized Freight Trucking
NAICS 4885 Freight Transportation Arrangement
NAICS 4921 Couriers
NAICS 4931 Warehousing and Storage
Note that the employment threshold for the target population of Freight Transportation establishments and Warehousing and Storage establishments are reduced to 50 or more employees and for 75 or more employees respectively.
The CATI Interview script was developed jointly by Industry Canada and Business Special Surveys and Technology Statistics Division of Statistics Canada, with design input and one-to-one interview testing by Statistics Canada's Questionnaire Design Resource Centre.
This survey is a census with a cross-sectional design.
All establishments operating in five logistics-related service industries in Canada with a number of employees above specified thresholds will be selected from the Business Register. The overall sample size of this survey was approximately 550 establishments. The actual number of units at the collection stage will be lower as some respondents are asked to report for several establishments within their business as a group in order to reduce response burden.
Data collection for this reference period: 2010-04-13 to 2010-06-11
Responding to this survey is voluntary.
Data are collected directly from survey respondents.
The collection was done by the Halifax Regional Office using Computer Assisted Telephone Interviewing (CATI).
View the Questionnaire(s) and reporting guide(s) .
A number of edits have been built into the Computer-Assisted Telephone Interview (CATI) application to ensure consistency among the information collected.
Nearest-neighbour donor imputation will be used to fill incomplete records. Wherever possible, donors from the same industry and with similar numbers of employees will be selected. The same donor record will be used to impute all items requiring imputation with sub-sections of the questionnaire. Imputation flags will be produced to identify values that have been imputed.
Since a weighting approach will be used to account for total non-response, we will produce weighted estimates and associated quality indicators using the Horvitz-Thompson estimation framework. An additional step will be carried out to ensure that the questionnaires that represent multiple establishments are weighted appropriately.
The logistics service industry sector represents a rare population. Therefore, subject matter experts from Industry Canada, the survey sponsors, examined the tabular outputs and validated the numbers that are generated in the tables.
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.
In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.
Revisions and seasonal adjustment
This methodology does not apply to this survey.
For each survey estimate that is produced, an associated quality indicator will be provided to express the precision of the estimate. The quality indicator takes into account the variance due to non-response, as well as the imputation rate.
- Definitions: Logistics Service Industries Border Survey