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All (2,481)

All (2,481) (0 to 10 of 2,481 results)

  • 1. Statistical Methods Reference Documents
    Surveys and statistical programs – Documentation: 19-20-0001
    Description: Documents in this series provide insight into the statistical methods used by Statistics Canada to produce official statistics. They include introductory material, in-depth descriptions of techniques and methods, best practices, and guidelines. All documents have undergone review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted methodological standards and practices.
    Release date: 2026-06-16
  • 2. Advance indicators: Production, use and interpretation, 2026
    Surveys and statistical programs – Documentation: 19-20-00012026003
    Description: This article provides nontechnical answers to questions related to the production, use and interpretation of advance indicators for Statistics Canada’s Monthly Survey of Manufacturing, Monthly Wholesale Trade Survey and Monthly Retail Trade Survey.
    Release date: 2026-06-16
  • 3. Trend-cycle estimation: Concepts, interpretation, and calculation, 2026
    Surveys and statistical programs – Documentation: 19-20-00012026002
    Description: This reference document provides answers on selected topics related to the use, interpretation, and calculation of trend-cycle estimates for seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment and trend-cycle estimation found in Statistics Canada publications and reference manuals.
    Release date: 2026-06-08
  • 4. Quantitative impact analysis: A practical overview
    Articles and reports: 36-28-0001202600500003
    Description: This spotlight article outlines practical methods for assessing the economic impacts of public programs delivered by federal agencies and Crown corporations. It summarizes key steps in conducting quantitative impact analysis, including data linkage, cohort construction and implementation of quasi causal estimators.
    Release date: 2026-05-27
  • 5. Analytical Studies: Methods and References
    Journals and periodicals: 11-633-X
    Description: Papers in this series provide background discussions of the methods used to develop data for economic, health, and social analytical studies at Statistics Canada. They are intended to provide readers with information on the statistical methods, standards and definitions used to develop databases for research purposes. All papers in this series have undergone peer and institutional review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted standards of good professional practice.
    Release date: 2026-05-27
  • 6. Income Research Paper Series
    Journals and periodicals: 75F0002M
    Description: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.
    Release date: 2026-05-20
  • 7. Seasonal adjustment: Concepts and interpretation, 2026
    Surveys and statistical programs – Documentation: 19-20-00012026001
    Description: This reference document provides nontechnical answers on selected topics related to the use and interpretation of seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment found in Statistics Canada publications and reference manuals.
    Release date: 2026-05-11
  • 8. Latest Developments in the Canadian Economic Accounts
    Notices and consultations: 13-605-X
    Description: This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.
    Release date: 2026-05-04
  • 9. A Framework for Projecting Housing Use Associated with Immigrants and Non-Permanent Residents
    Surveys and statistical programs – Documentation: 11-633-X2026002
    Description: Recent changes in Canada’s immigration levels have heightened interest in understanding how immigration affects housing demand. This article develops a methodological framework for projecting housing use associated with permanent residents (PRs) and non-permanent residents (NPRs) under alternative immigration scenarios. The framework applies observed per capita housing use rates from the Census of Population to estimate incremental housing use by tenure over time.
    Release date: 2026-04-24
  • 10. When and How to Use Area-Level Measures for Health Analysis: A Review and Recommendation Report
    Surveys and statistical programs – Documentation: 11-633-X2026001
    Description: This report defines key concepts related to area-level analysis and introduces area-level measures developed and utilized at Statistics Canada for health analysis. It also provides a decision-making framework and practical recommendations to help researchers select appropriate methods. The goal is to guide readers on when area-level analysis is appropriate and what type of area-level measure is suitable to achieve research objectives.
    Release date: 2026-03-05
Data (10)

Data (10) ((10 results))

  • 1. Social Policy Simulation Database and Model (SPSD/M)
    Public use microdata: 89F0002X
    Description: The SPSD/M is a static microsimulation model designed to analyse financial interactions between governments and individuals in Canada. It can compute taxes paid to and cash transfers received from government. It is comprised of a database, a series of tax/transfer algorithms and models, analytical software and user documentation.
    Release date: 2026-02-12
  • 2. National Address Register
    Profile of a community or region: 46-26-0002
    Description: The National Address Register (NAR) is a list of commercial and residential addresses in Canada that are extracted from Statistics Canada's Building Register and deemed non-confidential.
    Release date: 2025-12-19
  • 3. PASSAGES microsimulation model
    Table: 89-26-0006
    Description: PASSAGES is an open-source dynamic microsimulation model aimed at supporting policy analysis and research relating to Canadian retirement income system outcomes at the individual and family level. The publicly available version includes a synthetic starting database, a model, and documentation. A confidential starting database is also available.
    Release date: 2025-03-12
  • 4. Canadian Statistical Geospatial Explorer Hub Archived
    Data Visualization: 71-607-X2020010
    Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.
    Release date: 2024-08-21
  • 5. Income divergence index (D-index) by census tract
    Table: 11-10-0074-01
    Geography: Census tract
    Frequency: Occasional
    Description:

    The divergence index (D-index) describes the degree that families with different income levels are mixing together in neighbourhoods. It compares neighbourhood (census tract, CT) discrete income distributions to a base distribution, which is the income quintiles of the neighbourhood’s census metropolitan area (CMA).

    Release date: 2020-06-22
  • 6. Housing Data Viewer Archived
    Data Visualization: 71-607-X2019010
    Description: The Housing Data Viewer is a visualization tool that allows users to explore Statistics Canada data on a map. Users can use the tool to navigate, compare and export data.
    Release date: 2019-10-30
  • 7. Findings of the Canadian Vehicle Fuel Pilot Survey Archived
    Table: 53-500-X
    Description:

    This report presents the results of a pilot survey conducted by Statistics Canada to measure the fuel consumption of on-road motor vehicles registered in Canada. This study was carried out in connection with the Canadian Vehicle Survey (CVS) which collects information on road activity such as distance traveled, number of passengers and trip purpose.

    Release date: 2004-10-21
  • 8. National Tourism Indicators, Historical Estimates Archived
    Table: 13-220-X
    Description: In the 1997 edition, new and revised benchmarks were introduced for 1992 and 1988. The indicators are used to monitor supply, demand and employment for tourism in Canada on a timely basis. The annual tables are derived using the National Income and Expenditure Accounts (NIEA) and various industry and travel surveys. Tables providing actual data and percentage changes, for seasonally adjusted current and constant price estimates are included. In addition, an analytical section provides graphs, and time series of first differences, percentage changes, and seasonal factors for selected indicators. Data are published from 1987 and the publication will be available on the day of release. New data are included in the demand tables for non-tourism commodities produced by non-tourism industries and in the employment tables covering direct tourism employment generated by non-tourism industries. This product was commissioned by the Canadian Tourism Commission to provide annual updates for the Tourism Satellite Account.
    Release date: 2003-01-08
  • 9. Historical Statistics of Canada Archived
    Table: 11-516-X
    Description:

    The second edition of Historical statistics of Canada was jointly produced by the Social Science Federation of Canada and Statistics Canada in 1983. This volume contains about 1,088 statistical tables on the social, economic and institutional conditions of Canada from the start of Confederation in 1867 to the mid-1970s. The tables are arranged in sections with an introduction explaining the content of each section, the principal sources of data for each table, and general explanatory notes regarding the statistics. In most cases, there is sufficient description of the individual series to enable the reader to use them without consulting the numerous basic sources referenced in the publication.

    The electronic version of this historical publication is accessible on the Internet site of Statistics Canada as a free downloadable document: text as HTML pages and all tables as individual spreadsheets in a comma delimited format (CSV) (which allows online viewing or downloading).

    Release date: 1999-07-29
  • 10. National Population Health Survey Overview Archived
    Table: 82-567-X
    Description:

    The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.

    This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.

    Release date: 1998-07-29
Analysis (2,037)

Analysis (2,037) (70 to 80 of 2,037 results)

  • 71. Authors’ response to comments on “Trends and directions in sample survey theory and methods”
    Articles and reports: 12-001-X202500100010
    Description: The discussants highlight promising research topics for improving the quality and granularity of estimates from surveys. We agree that continued research is needed to evaluate models used for inference, and suggest development of measures of model dependence.
    Release date: 2025-06-30
  • 72. Comments by M. Giovanna Ranalli on “Trends and directions in sample survey theory and methods”
    Articles and reports: 12-001-X202500100011
    Description: This discussion examines some advancements in survey design and estimation, inspired by the comprehensive appraisal of Professors Jon Rao and Sharon Lohr on current trends in the field. It delves into three specific areas: balanced sampling, calibration, and small area estimation. Probabilistic balanced sampling methods, such as the cube method and penalized balanced sampling, are explored, with an emphasis on addressing emerging challenges, including extensions to linear mixed models, nonparametric regression models, and spatially balanced designs. Calibration is discussed using a modular framework that incorporates modern regression techniques, and highlights innovative uses of model calibration for data editing and causal inference. Small area estimation is considered in the context of latent variable modeling and data integration, emphasizing its role when the variable(s) of interest cannot be measured either directly or without error. Applications in integrating probability and non-probability data and conducting causal analysis at local level are also discussed.
    Release date: 2025-06-30
  • 73. Comments by Jean D. Opsomer, Daifeng Han and Medha Uppala on “Trends and directions in sample survey theory and methods”
    Articles and reports: 12-001-X202500100012
    Description: In this discussion, we complement the excellent overview by Profs. Lohr and Rao with some additional topics. The first topic is a call for more recognition of the central role of modeling in survey estimation. The second is a brief discussion of the use of partial frame information in survey design. Finally, we draw the attention to recent increases of synthetic methods, in particular, multilevel regression and poststratification (MRP) in small area estimation applications.
    Release date: 2025-06-30
  • 74. Comments by David Haziza on “Trends and directions in sample survey theory and methods”
    Articles and reports: 12-001-X202500100013
    Description: This discussion of the paper by Rao and Lohr focuses on the use of machine learning procedures for estimating finite population parameters. While there is growing interest in these methods within national statistical offices, several areas remain largely unexplored and warrant significant attention in the coming years. In this discussion, I highlight potential topics for future research and development in this rapidly evolving field.
    Release date: 2025-06-30
  • 75. Trends and directions in sample survey theory and methods
    Articles and reports: 12-001-X202500100014
    Description: Rao (1999) summarized trends in sample survey theory and methods at the turn of the millenium. We provide an updated discussion of some current trends in survey design and estimation methods for the 50th anniversary of Survey Methodology. Recent innovations in survey design include research on anticipating nonsampling errors at the design stage and development of balanced and adaptive sampling designs to take advantage of detailed sampling frame information or data gathered during the survey process. Nonparametric and machine learning methods are increasingly used for data editing as well as for model-assisted estimation and nonresponse adjustments. Small area models have been expanded to incorporate spatial and time series information, increase the flexibility and robustness of the linking and variance models, benchmark to large-area direct estimators, and (for unit level models) account for informative sampling designs. The increasing availability of large administrative datasets, sensor and satellite data, and convenience samples has spurred research on how to use these sources - on their own and when integrated with probability samples. We conclude by discussing some frontiers for survey research.
    Release date: 2025-06-30
  • 76. Author’s response to comments on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100015
    Description: This rejoinder is arranged as a series of themes or issues, inspired by the original article, and addressed, to varying degrees, in the six discussions. Among the themes: probability sampling and other paradigms in survey science; the role of the national statistical institutes in the growth of survey science; recent breakthroughs in the use of administrative data in statistics production, with multiple data inputs; the research tradition: a finite population and a well-behaved sample; deepened awareness, in recent decades, of the tradition and its ramifications; the theory track and the role of the academic sector; attempts, over time, at resolving problems; imperfections in the data collection, in the realized sample; nonresponse treatment, responsive design, panel surveys; realpolitik in national statistics production: a realistic approach to meet urgent demands for statistical information.
    Release date: 2025-06-30
  • 77. Comments by Mary E. Thompson on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100016
    Description: These comments on C.-E. Särndal’s paper, “Progress in survey science and practice: yesterday-today-tomorrow”, will touch on probability sampling fundamentals, progress through competing approaches to inference, connections with other parts of statistics, and data in the twenty-first century.
    Release date: 2025-06-30
  • 78. Comments by Eric Rancourt on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100017
    Description: In his paper, Särndal is reviewing the scientific aspects of the development of the survey sampling theory. In light of multiple changes in this field, some have called for a new paradigm. Upon careful analysis, Särndal lands on saying that there has been a strong research tradition which is anchored on assumptions about finite populations and feasibility of characterizing them with only a sample. With this framework, there can still be research and change, but the paradigm would essentially remain. In my discussion of this article, after providing precisions on the context of National Statistical Offices (mainly about Statistics Canada), I agree on many points and wonder if it is not a change in methodological paradigm rather than statistical paradigm that we are witnessing and point to some possible ways forward.
    Release date: 2025-06-30
  • 79. Comments by Risto Lehtonen on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100018
    Description: In his article, Professor Carl-Erik Särndal presents for sample-based statistics a new conceptual framework with only a few key assumptions. Selected aspects of the research tradition in Survey Science are briefly discussed in my comments.
    Release date: 2025-06-30
  • 80. Comments by Robert E. Fay on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100019
    Description: The attempt to set the current concerns over the future of survey science in the context of the history and philosophy of science offers little specific guidance on the path forward. But the author is to be thanked for sharing his thoughts and encouraging new solutions.
    Release date: 2025-06-30
Reference (382)

Reference (382) (310 to 320 of 382 results)

  • 311. Asset and Debt Survey: Findings of the Content Consultation Process Archived
    Notices and consultations: 13F0026M1999002
    Description:

    This document summarizes the comments and feedback received on an earlier document: Towards a new Canadian asset and debt survey - A content discussion paper. The new asset and debt survey (now called the Survey of Financial Security) is to update the wealth information on Canadian families and unattached individuals. Since the last data collection was conducted in 1984, it was essential to include a consultative process in the development of the survey in order to obtain feedback on issues of concern and to define the conceptual framework for the survey.

    Comments on the content discussion paper are summarized by major theme and sections indicate how the suggestions are being incorporated into the survey or why they could not be incorporated. This paper also mentions the main objectives of the survey and provides an overview of the survey content, revised according to the feedback from the discussion paper.

    Release date: 1999-03-23
  • 312. Proposal for an Asset and Debt Survey Archived
    Surveys and statistical programs – Documentation: 13F0026M1999003
    Description:

    This paper presents a proposal for conducting a Canadian asset and debt survey. The first step in preparing this proposal was the release, in February 1997, of a document entitled Towards a new Canadian asset and debt survey whose intent was to elicit feedback on the initial thinking regarding the content of the survey.

    This paper reviews the conceptual framework for a new asset and debt survey, data requirements, survey design, collection methodology and testing. It provides also an overview of the anticipated data processing system, describes the analysis and dissemination plan (analytical products and microdata files), and identifies the survey costs and major milestones. Finally, it presents the management/coordination approach used.

    Release date: 1999-03-23
  • 313. Report on Consultations with Respondents and Interviewers to Test the Questionnaires and Data Collection Methodology for the 1998 Asset and Debt Survey Archived
    Notices and consultations: 13F0026M1999004
    Description:

    During September and October 1997, the Questionnaire Design Resource Centre (QDRC) completed 10 focus groups and 4 in-depth interviews with respondents and 6 debriefing sessions with interviewers in a test of the proposed questionnaires and data collection methodology for the 1998 Asset and Debt Survey (now called the Survey of Financial Security, to be done in 1999).

    The main goals of the testing were: to evaluate the data collection methodology and survey instruments (including the introductory materials [guide] and questionnaires [Part 1: background information about family members, Part 2: questions on assets and debts]); to identify problem areas; to make recommendations to ensure that the final survey instruments are respondent-friendly and interview-friendly, that the questionnaires can be easily understood and accurately completed; and finally, to investigate how respondents recall information.

    This report summarizes the highlights of the study, including the recommendations based on the findings of the focus groups, in-depth interviews and debriefing sessions, as well as those from the experience of the QDRC in carrying out similar studies for other household surveys.

    Release date: 1999-03-23
  • 314. A Comparison of Census Geographic Areas of Canada and the United States Archived
    Geographic files and documentation: 92F0138M1993001
    Geography: Canada
    Description:

    The Geography Divisions of Statistics Canada and the U.S. Bureau of the Census have commenced a cooperative research program in order to foster an improved and expanded perspective on geographic areas and their relevance. One of the major objectives is to determine a common geographic area to form a geostatistical basis for cross-border research, analysis and mapping.

    This report, which represents the first stage of the research, provides a list of comparable pairs of Canadian and U.S. standard geographic areas based on current definitions. Statistics Canada and the U.S. Bureau of the Census have two basic types of standard geographic entities: legislative/administrative areas (called "legal" entities in the U.S.) and statistical areas.

    The preliminary pairing of geographic areas are based on face-value definitions only. The definitions are based on the June 4, 1991 Census of Population and Housing for Canada and the April 1, 1990 Census of Population and Housing for the U.S.A. The important aspect is the overall conceptual comparability, not the precise numerical thresholds used for delineating the areas.

    Data users should use this report as a general guide to compare the census geographic areas of Canada and the United States, and should be aware that differences in settlement patterns and population levels preclude a precise one-to-one relationship between conceptually similar areas. The geographic areas compared in this report provide a framework for further empirical research and analysis.

    Release date: 1999-03-05
  • 315. Statistics Canada's Measurement and Valuation of Unpaid Work Archived
    Surveys and statistical programs – Documentation: 71F0023X1999001
    Description:

    This paper is an overview of the activities undertaken by Statistics Canada over the past several decades in the field of measuring and valuing unpaid work in all of its many forms. It was first prepared in the early 1990s when the Agency's accomplishments in the field of unpaid work were not as widely known as Statistics Canada would have liked. With each significant new achievement of the Agency, this note has been updated and further updates will be produced in step with the Agency's continuing outputs in this important area.

    Release date: 1999-01-28
  • 316. Survey of Labour and Income Dynamics (SLID) Questionnaire for Demographics and Contacts: 1998 Archived
    Surveys and statistical programs – Documentation: 75F0002M1998002
    Description:

    This document presents the questions, responses and interview flow for the Contact and Demographic portions of the Survey of Labour and Income Dynamics (SLID) interviews.

    Release date: 1998-12-30
  • 317. Survey of Labour and Income Dynamics (SLID) Labour Interview Questionnaire January 1998 Archived
    Surveys and statistical programs – Documentation: 75F0002M1998003
    Description:

    This paper provides a written approximation of the 1998 Survey of Labour and Income Dynamics (SLID) labour interview questionnaire.

    Release date: 1998-12-30
  • 318. 1998 Preliminary Interview Questionnaire Archived
    Surveys and statistical programs – Documentation: 75F0002M1998004
    Description:

    This paper presents the questions, possible responses and question flows for the 1998 Survey of Labour and Income Dynamics (SLID) preliminary questionnaire.

    Release date: 1998-12-30
  • 319. General Aspects of the Survey of Labour and Income Dynamics (SLID) Archived
    Surveys and statistical programs – Documentation: 75F0002M1998005
    Description:

    This article gives an overview of the main goals of the Survey of Labour and Income Dynamics (SLID) and the methodology used.

    Release date: 1998-12-30
  • 320. Questionnaire and Collection Procedures for SLID Income Data Collection - May 1999 Archived
    Surveys and statistical programs – Documentation: 75F0002M1998006
    Description:

    This paper describes the collection method and content of the 1999 Survey of Labour and Income Dynamics (SLID) income interview.

    Release date: 1998-12-30

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