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For boundary files and other geographic reference, see Geographic files and documentation.

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All (26,565)

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Data (13,287)

Data (13,287) (100 to 110 of 13,287 results)

  • 101. Leading indicator, International visitors entering or returning to Canada by land, by vehicle type, vehicle licence plate and traveller type - Open in new window/tab
    Table: 24-10-0057-01
    Geography: Canada, Province or territory
    Frequency: Daily
    Description:

    The table is part of Frontier Counts. The data comes from the Integrated Primary Inspection Line (IPIL), from the Canada Border Services Agency (CBSA). Keywords include: arrival, automobile, car, entry, excursionist, motorcycle, overnight, port of entry, same-day, tourism, tourist, travel and visit.

    Release date: 2026-06-11
  • 102. Leading indicator, Vehicles entering Canada by land, by vehicle type and licence plate - Open in new window/tab
    Table: 24-10-0058-01
    Geography: Canada, Province or territory
    Frequency: Daily
    Description:

    The table is part of Frontier Counts. The data comes from the Integrated Primary Inspection Line (IPIL), from the Canada Border Services Agency (CBSA). Keywords include: arrival, automobile, car, entry, international, motorcycle, port of entry, tourism, travel, traveller, visit and visitor.

    Release date: 2026-06-11
  • 103. Leading indicator, Trucks and drivers entering or returning to Canada, by vehicle licence plate - Open in new window/tab
    Table: 24-10-0059-01
    Geography: Canada, Province or territory
    Frequency: Daily
    Description:

    The table is part of Frontier Counts. The data comes from the Integrated Primary Inspection Line (IPIL), from the Canada Border Services Agency (CBSA). Keywords include: arrival, crew, entry, international, port of entry, tourism, travel, traveller, visit and visitor.

    Release date: 2026-06-11
  • 104. Provisional weekly death counts, by age group and sex - Open in new window/tab
    Table: 13-10-0768-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description: This table provides Canadians and researchers with provisional data to monitor weekly death trends by age and sex in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.
    Release date: 2026-06-11
  • 105. Previous releases and revisions to provisional weekly death counts - Open in new window/tab
    Table: 13-10-0783-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description:

    This table provides Canadians and researchers with provisional data to monitor weekly death trends in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

    Release date: 2026-06-11
  • 106. Provisional weekly death counts, by selected grouped causes of death - Open in new window/tab
    Table: 13-10-0810-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description:

    This table provides Canadians and researchers with provisional data to monitor weekly death trends by selected grouped causes of death in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

    Release date: 2026-06-11
  • 107. Provisional weekly age-standardized mortality rates, by sex - Open in new window/tab
    Table: 13-10-0879-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description: The table displays weekly age standardized mortality rates for every province in Canada (excluding territories), by sex, since 2019. The standardization is done using the 2011 Canadian population.
    Release date: 2026-06-11
  • 108. Building permits: Interactive Dashboard - Open in new window/tab
    Data Visualization: 71-607-X2021005
    Description: Building permits: Interactive Dashboard can be used to visualize monthly data or trend analysis of the value of permits issued by Canadian municipalities as well as monthly changes on residential units created. The user can view those data by selecting reference period, geography, type of building structure and value type for seasonal adjustment.
    Release date: 2026-06-11
  • 109. New motor vehicle registrations: Quarterly data visualization tool - Open in new window/tab
    Data Visualization: 71-607-X2021019
    Description: This interactive dashboard provides access to current and historical data on new motor vehicle registrations. It allows the user to compare and analyze new motor vehicle registrations data by fuel type, geography and vehicle type. This web application is updated quarterly.
    Release date: 2026-06-11
  • 110. Frontier Counts: Interactive Dashboard - Open in new window/tab
    Data Visualization: 71-607-X2023020
    Description: The "Frontier Counts: Interactive Dashboard" provides access to data on the number of border crossings in an interactive and customizable format. The counts include only those travelling for tourism-related purposes. The dashboard includes four visualizations: leading indicator of air arrivals, leading indicator of land arrivals, returning Canadians, and visitors to Canada.
    Release date: 2026-06-11
Analysis (10,777)

Analysis (10,777) (10,690 to 10,700 of 10,777 results)

  • 10,691. Commissioning research - The business relationship - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254939
    Description:

    This document describes the process of commissioning market research at Imperial Oil Limited. It outlines the management processes that precede commissioning and defines the expectations of a typical buyer of research work. It also examines the need to have a satisfactory business relationship between the buyer and the seller, and it provides a list of the attributes most often considered by a company seeking a supplier for a particular research project.

    Release date: 1980-12-15
  • 10,692. An overview of federal government survey research as reported to Statistics Canada's review and consultation staff, 1974-1980 - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254940
    Description:

    This paper provides a summary description of some of the characteristics of the proposals for new surveys submitted to Statistics Canada for review and consultation by other federal government departments. It describes which departments have been involved, gives details of the types of studies proposed and methodologies used, and deals briefly with some of the problems which the review process has uncovered.

    Release date: 1980-12-15
  • 10,693. Implications of population change - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254941
    Description:

    This paper examines the effects of fertility, mortality and migration on the age profile of the Canadian population, particularly the effect of fluctuating fertility patterns which have occurred since the second World War. The author analyses the impact on social services and the economy as the shifting requirements of the “Baby Boom” cohorts move through their life cycle.

    Release date: 1980-12-15
  • 10,694. Comments on the needs of the user in the private sector - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254942
    Description:

    A major packaged goods manufacturer details his firm’s assemblage and application of market understanding information, impact information, market tracking, share/volume forecasting and documentation procedure.

    Release date: 1980-12-15
  • 10,695. Developments in data collection: Cost versus quality - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254943
    Description:

    Increasing costs without a concomitant increase in research budgets are putting severe strains on research quality. Improvements in technology, however, both in the physical domain and in the conceptual domain are sufficient to maintain research productivity at least at its prior level.

    Release date: 1980-12-15
  • 10,696. The measurement and magnitude of nonresponse in U.S. consumer telephone surveys - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254944
    Description:

    Due to the absence of hard data and the lack of standardization with respect to nonresponse terminology and reporting procedures, U.S. commercial survey researchers have been unable to obtain an accurate assessment of the nature and extent of the nonresponse problem. However, the results of two recent studies conducted by the author among leading U.S. based market and public opinion research firms revealed that nonresponse is one of the major problems now confronting the commercial survey research industry. This paper discusses the results of the two studies and their implications.

    Release date: 1980-12-15
  • 10,697. Causes of incomplete data, adjustments and effects - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254945
    Description:

    The article provides a general overview of the concepts of incomplete data and non-response. It is recognized that non-response is an important indicator of data quality, as it affects the estimators by introducing bias and increasing variance due to a reduction in the effective sample size. The relationship between bias and the non-response rate is less obvious, since it depends on the extent of non-response and on the difference in the various characteristics between respondents and non-respondents.

    The most effective way of dealing with the effects of non-response is to minimize its extent. However, any attempt to control the extent of non-response must be based on a good understanding of its origins. The causes and extent of non-response are fundamentally related to (i) the type of survey, (ii) the data capture methods, and (iii) the sample design. However, given a sample design, the extent of non-response will be influenced by factors such as the type of region and the type of non-response.

    There are several ways to handle incomplete data. Each one, in the end, assigns a value to the missing or incorrect data, unless it is decided to publish “raw” data. The procedure for assigning values is called imputation and such an imputed value presumably describes the characteristic of the non-respondent.

    The article provides a brief philosophical explanation about validation and imputation and their applications in the methodology of the various imputation procedures. These include weighting, replication, hot deck imputation using previous data and substitution by a zero value. The using of imputation compared with the methods used in the Canadian Labour Force Survey (LFS) is also discussed. A decision table is provided indicating the various steps to follow for a particular case of a partially completed LFS questionnaire.

    Release date: 1980-12-15
  • 10,698. Present and future social needs and the mechanisms required to monitor them - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254946
    Description:

    This presentation focuses on the present and future social needs of the public, and tracking these needs by surveys. It is divided into two parts. First, the writer gives some history of the tracking systems. Then, he speaks about the future and his forecasts for the new tracking systems.

    Release date: 1980-12-15
  • 10,699. Alternative socio-economic data collection methods in the 1980’s: The concept of a synthetic data base - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254947
    Description: This paper makes a proposal to create a new type of information bank, the “Synthetic Data Bank”. This type of bank would involve linking information from two data banks to create a third. The result would be that much greater use could be made of existing data banks in conjunction with new data collection activities. This would mean a significant reduction in the amount of data to be collected which, in effect, could potentially reduce both data collection costs and response burden. The paper suggests a number of considerations in developing statistical techniques to facilitate the creation of such an information linkage concept. Some of these techniques are to be found in modern literature’ others may well have to be developed.
    Release date: 1980-12-15
  • 10,700. Serving the needs of the user - Open in new window/tab Archived
    Articles and reports: 12-001-X198000254948
    Description: My brief as a speaker was to comment on points raised in the opening session, within the general theme of serving the needs of research users in the 1980’s. This scheme did not allow a prepared paper, and my impromptu comments tended to be discussive. Below is a summary of my main points, leaving out anecdotes and examples used in the actual talk.
    Release date: 1980-12-15
Reference (2,029)

Reference (2,029) (100 to 110 of 2,029 results)

  • 101. Census of Population web pages: Profile Part 2, Adding geographies and downloading options - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00032021033
    Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to explain how to add geographies in the 2021 Census Profile and to present the various downloading options to see the data.
    Release date: 2024-07-10
  • 102. T1 Family File, Final Estimates, 2022 - Open in new window/tab
    Surveys and statistical programs – Documentation: 72-212-X2024001
    Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2024-06-27
  • 103. Guide to the Job Vacancy and Wage Survey - Open in new window/tab
    Surveys and statistical programs – Documentation: 75-514-G
    Description: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.
    Release date: 2024-06-18
  • 104. Guide to the Job Vacancy and Wage Survey, 2024 - Open in new window/tab
    Surveys and statistical programs – Documentation: 75-514-G2024001
    Description: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality.
    Release date: 2024-06-18
  • 105. Regional discussion report: Review of First Nations, Métis and Inuit questions on the census - Open in new window/tab
    Notices and consultations: 41-20-0001
    Description: Engagement on the questions used to identify First Nations people, Métis and Inuit that are included on the Census of Population and on other Statistics Canada surveys is an important part of ensuring high quality and meaningful data are collected. The feedback received during these discussions are presented in these reports.
    Release date: 2024-05-29
  • 106. Regional Discussion Report: Review of First Nations, Métis and Inuit questions for the 2026 Census of Population - Open in new window/tab
    Notices and consultations: 41-20-00012024001
    Description: From November 2022 to March 2023 Statistics Canada undertook a series of discussions to obtain feedback on the questions used to identify First Nations people, Métis and Inuit on the Census of Population and on other Statistics Canada surveys. This report summarizes the feedback received during these discussions.
    Release date: 2024-05-29
  • 107. Canadian Research and Development Classification (CRDC) - Open in new window/tab
    Classification: 89-26-0004
    Description: This classification system was developed conjointly by the Social Sciences and Humanities Research Council of Canada (SSHRC), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), and Statistics Canada which is the custodian. This shared standard classification, inspired by the Frascati Model 2015 of the Organisation for Economic Co-operation and Development (OECD), will be used by the federal granting agencies and Statistics Canada to collect, and disseminate data related to research and development in Canada. The Canadian Research and Development Classification (CRDC) first official version was the 2020 Version 1.0, now being replaced by CRDC Version 2.0. The CRDC is revised within 2 years for minor changes, and every five years for major revisions. CRDC 2020 Version 2.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1,671 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).
    Release date: 2024-04-30
  • 108. Census Program Content Consultation Report - Open in new window/tab
    Notices and consultations: 92-137-X
    Description: User consultation is the first step in determining Census Program content. The findings of content consultations are presented in these reports.
    Release date: 2024-04-17
  • 109. 2026 Census of Population Content Consultation Results: What we heard from Canadians - Open in new window/tab
    Notices and consultations: 92-137-X2024001
    Description: Data from the Census of Population are important for all communities and are vital to plan services that support education, employment, transportation, health care and housing. To maintain the relevance of the census, Statistics Canada evaluates and reviews the census questionnaire content for each census cycle. In preparation for the 2026 Census, Statistics Canada consulted Canadians from fall 2022 to spring 2023. Detailed responses were received from organizations and individuals representing federal, provincial, territorial and local government departments; First Nations people, Métis and Inuit; the general public; academia; special interest groups; and the private sector.

    This report focuses on the findings of the 2026 Census data needs consultation and stakeholder discussions. Chapter 1 explains whom we consulted. Chapter 2 describes the strength of census data users’ needs such as the size of the population of interest. Chapter 3 provides an assessment of the perceived data gaps in census content and the availability and suitability of alternative data sources. Chapter 4 focuses on information needs by census topic and how preparations for the 2024 Census Test will help meet these needs.
    Release date: 2024-04-17
  • 110. Study on the Underclassification of Children Eligible for Instruction in the Minority Official Language in the 2021 Census - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-26-0008
    Description: This report presents the results of a study on the estimated number of children eligible for instruction in the minority official language, pursuant to section 23 of the Canadian Charter of Rights and Freedoms, who were classified as ineligible in the 2021 Census because relationships between family members living at different addresses could not be established within this data source. Using other data sources, including previous censuses and administrative data (such as vital statistics and tax data), we were able to establish these family relationships within the 2021 Census. This report presents the methods and data sources used first, then the results by selected regions and age groups.
    Release date: 2024-03-26
Other (1)

Other (1) ((1 result))

  • 1. Data Visualization: Best Practices - Open in new window/tab
    89-26-0005
    Description: This document provides best practices in data visualization for basic charts. A data visualization product can be created with very different goals and for different audiences with a wide range of expertise. General information applicable to any data visualization product is provided, as well as detailed information for data visualization by chart. This report covers 5 different categories of charts, and presents graphs from the following 5 general categories: pie charts, bar charts, point charts, line charts and maps.
    Release date: 2023-02-24

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