Statistical methods
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Results
All (2,481)
All (2,481) (0 to 10 of 2,481 results)
- Surveys and statistical programs – Documentation: 19-20-0001Description: 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
- Surveys and statistical programs – Documentation: 19-20-00012026003Description: 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
- Surveys and statistical programs – Documentation: 19-20-00012026002Description: 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
- Articles and reports: 36-28-0001202600500003Description: 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
- Journals and periodicals: 11-633-XDescription: 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
- Journals and periodicals: 75F0002MDescription: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.Release date: 2026-05-20
- Surveys and statistical programs – Documentation: 19-20-00012026001Description: 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
- Notices and consultations: 13-605-XDescription: 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
- Surveys and statistical programs – Documentation: 11-633-X2026002Description: 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
- Surveys and statistical programs – Documentation: 11-633-X2026001Description: 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
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Data (10)
Data (10) ((10 results))
- Public use microdata: 89F0002XDescription: 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
- Profile of a community or region: 46-26-0002Description: 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
- Table: 89-26-0006Description: 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 ArchivedData Visualization: 71-607-X2020010Description: 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
- Table: 11-10-0074-01Geography: Census tractFrequency: OccasionalDescription:
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 ArchivedData Visualization: 71-607-X2019010Description: 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
- Table: 53-500-XDescription:
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 - Table: 13-220-XDescription: 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 ArchivedTable: 11-516-XDescription:
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 ArchivedTable: 82-567-XDescription:
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) (50 to 60 of 2,037 results)
- Articles and reports: 11-522-X202500100027Description: Several challenges encountered when constructing U.S. administrative record-based (AR-based) population estimates for 2020 are identified. They include locational accuracy, person coverage and its consistency over time, filtering out non-residents and people not alive on the reference date, uncovering missing links across person and address records, and predicting demographic characteristics. Several ways to address these issues are discussed. Regression results illustrate how the challenges and solutions affect the AR-based county population estimates.Release date: 2025-09-08
- Articles and reports: 11-522-X202500100028Description: The United Nations Sustainable Development Goals require detailed, disaggregated data, typically obtained through household surveys. However, surveys alone cannot meet these needs for granular statistics. To address this, National Statistical Institutes adopt small area methods, but these face challenges as auxiliary variables, often derived from surveys, introduce measurement errors into the models. The aim is the application of measurement error correction in classic Fay-Herriot area-level model. The results demonstrate the robustness of the standard approach and ignoring measurement error but show there are specific scenarios where correction for measurement errors is beneficial. The approach is applied to a case study utilizing Indonesian household survey data.Release date: 2025-09-08
- Articles and reports: 11-522-X202500100029Description: J.N.K. Rao has contributed to almost every subdiscipline of survey research, including unequal-probability and two-phase sampling, variance estimation, regression and categorical data analysis, small area estimation, and data integration. For each of these topics, Rao's work anticipated and led future research directions. His contributions will be discussed in the context of broader research trends as seen in the articles of Survey Methodology over the journal's 50-year history.Release date: 2025-09-08
- 54. Contributions of J.N.K. Rao to Complex Survey Multilevel Models and Composite Likelihood ArchivedArticles and reports: 11-522-X202500100030Description: In the setting of multilevel models to be estimated using data from surveys with complex sampling designs, this paper outlines some contributions of the landmark paper by Rao, Verret and Hidiroglou (Survey Methodology, 2013) and subsequent related work.Release date: 2025-09-08
- Articles and reports: 11-522-X202500100031Description: Several recent quasi-randomization methods for inferences from non-probability samples will be compared. The considered techniques are developed under the assumption that the sample selection is governed by an underlying latent random mechanism and that it can be uncovered by combining non-probability survey data with a "reference" probability-based sample, obtained from the same target population. Challenges prompting the development of alternative procedures include (i) non-probability sample participation indicators are available only on the observed sample units and (ii) it is not generally known which units from the underlying population belong to both the non-probability and reference samples. The ways different procedures address these challenges are considered, theoretical properties of the methods are discussed and their comparison is made using simulations.Release date: 2025-09-08
- Articles and reports: 11-522-X202500100032Description: Although non-probability data sources are not new to official statistics, a revived interest in the topic has emerged from pressures due to falling survey response rates, increasing data collection costs and a desire to take advantage of new data source opportunities from the ongoing societal digitalisation. Due to the exclusion of certain segments of the target population, inference derived solely from a non-probability data source is likely to result in bias. This work approaches the challenge of addressing the bias by integrating non-probability data with reference probability samples. The focus will be on methods to model the propensity of inclusion in the non-probability dataset with the help of the accompanying reference sample, with the modelled propensities then applied in an inverse probability weighting approach to produce population estimates. The reference sample is sometimes assumed as given. In this presentation however, an objective of finding an optimal strategy will be pursued that is, the combination of a data integration-based estimator and sample design for the reference probability sample. Recent work is discussed in which advantage is taken of the good unit identification possibilities in business surveys to study an estimator based on propensities and derive optimal (unequal) selection probabilities for the reference sample.Release date: 2025-09-08
- 57. Including Non-binary Gender in the Calibration Strategy for the Canadian Long-Form Sample Survey Weights ArchivedArticles and reports: 11-522-X202500100033Description: Aligning with recent needs for increased disaggregated data, in 2021 Canada became the first country to collect and disseminate data on gender diversity in a national census giving Canadians the option to select male, female, or non-binary. Due to their small size, non-binary population counts were not used in the 2021 Census long-form sample calibration procedure due to the risk of increasing the variance of estimates. This paper presents an alternative long-form calibration strategy which allows for small populations, such as the non-binary group, to be incorporated while mitigating methodological concerns. The strategy put forward can incorporate multiple small populations simultaneously while also being flexible enough to fit the calibration systems of other National Statistical Offices (NSOs). The results of a Monte Carlo (MC) simulation are presented showing improved data quality for the non-binary population under the alternative calibration strategy.Release date: 2025-09-08
- Articles and reports: 11-522-X202500100034Description: Until now, detailed data on the destination of manufacturing sales have not historically been available to Canadians. Through integration of annual survey data, a destination of sales table by industry and province of origin was developed for the annual and monthly manufacturing surveys at Statistics Canada. Respondents for the annual survey are asked for their distribution of sales as a percentage across 15 destinations. To tackle the difficulty of generating an establishment-level distribution for multi-province respondents, three approaches were compared: using the respondents' total distribution for all their establishments, using optimization, and using the distributions of the single-province respondents. The imputed distribution of destination sales from the annual data was then applied to the monthly survey's sales value. This paper delves into challenges faced with imputing the destination sales (especially for respondents with establishments in multiple provinces), ensuring sales match marginal origin province totals, and allocating a distribution of destinations based on data from the annual program to the monthly estimates.Release date: 2025-09-08
- 59. The Usage of the Relief Algorithm for Edit and Imputation in the Canadian Census of Population ArchivedArticles and reports: 11-522-X202500100035Description: Historically, the Canadian census of population Edit and Imputation (E&I) process has operated using a nearest-neighbour donor imputation methodology wherein the distance between a failed unit and a potential donor is obtained through a weighted combination of auxiliary variables. Revision to the model between cycles can be a complicated and time-consuming process given there is no standard approach to variable selection and weighting between topics. This paper will illustrate the potential of the Relief variable selection algorithm to create a machine learning-driven approach to variable selection and weighting that is standardized and comparable between census cycles and among the many topics of the census. An overview on how this process may be applied in practice will be presented, followed by results on several topics that indicate a general improvement over previous methods.Release date: 2025-09-08
- 60. Factors Affecting Response Propensity, with an Interest in Units Sampled Multiple Times ArchivedArticles and reports: 11-522-X202500100036Description: As the need for data has grown over the past number of years, the effect and burden of repeatedly sampling the same units for multiple surveys have become an increasing concern. Response burden is generally assumed to contribute to decreasing response rates; however, there are few empirical studies looking into this question. As part of this study, data on response to social surveys conducted at Statistics Canada between 2021 and 2023 was aggregated in order to investigate factors contributing to the observed response patterns, including the effect of having been selected multiple times. It was found that, relative to some other demographic and geographic characteristics, a unit being sampled multiple times is not an influential factor in predicting response propensity.Release date: 2025-09-08
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Reference (382)
Reference (382) (330 to 340 of 382 results)
- 331. Survey of Labour and Income Dynamics (SLID) Labour Interview Questionnaire: January 1997 ArchivedSurveys and statistical programs – Documentation: 75F0002M1997008Description:
This paper outlines the structure of the January 1997 Survey of Labour and Income Dynamics (SLID) labour interview.
Release date: 1997-12-31 - 332. Questionnaire and Collection Procedures for Survey of Labour and Income Dynamics (SLID) Income Data Collection: May 1997 ArchivedSurveys and statistical programs – Documentation: 75F0002M1997013Description:
This paper describes the collection method and content of the 1997 Survey of Labour and Income Dynamics (SLID) income interview.
Release date: 1997-12-31 - Surveys and statistical programs – Documentation: 13-605-X19970018521Description:
A historical revision of the National Economic and Financial Accounts was published on December 12, 1997. This historical revision had three goals.
Release date: 1997-12-12 - 334. Changing the CPI to a new official time base (1992=100) ArchivedNotices and consultations: 62-010-X19970023422Description:
The current official time base of the Consumer Price Index (CPI) is 1986=100. This time base was first used when the CPI for June 1990 was released. Statistics Canada is about to convert all price index series to the time base 1992=100. As a result, all constant dollar series will be converted to 1992 dollars. The CPI will shift to the new time base when the CPI for January 1998 is released on February 27th, 1998.
Release date: 1997-11-17 - 335. 2001 Census Consultation Guide ArchivedNotices and consultations: 92-125-GDescription:
This consultation guide marks the beginning of the content consultation and testing process for the 2001 Census. A broad range of data users, including those in every level of government, national associations, non-government organizations, community groups, businesses and private sector, universities and the general public, will be asked to provide their comments on the questions asked, requirements for future census information, and the identification of data gaps.
Release date: 1997-10-31 - Notices and consultations: 87-003-X19970012882Geography: CanadaDescription:
The purpose of this article is to inform Travel-log readers of the availability of a new analytical tool - the National Tourism Indicators. These estimates, which measure trends in tourism in Canada, are placed in perspective here, taking into account the concepts and definitions used in developing them.
Release date: 1997-01-08 - 337. The Effect of Rebasing on GDP ArchivedSurveys and statistical programs – Documentation: 13-604-M1996035Description:
About once every five years, the System of National Accounts (SNA) is rebased to keep up with the evolution of prices in the economy. In other words, its aggregates at constant prices are recalculated in terms of the prices of a more recent time. Also, the System is revamped about once a decade to introduce new accounting conventions, improved methods of estimation and revised statistical classifications. These revisions will change the gross domestic product (GDP) of the past 70 years. Both types of revision are presently underway, with their results scheduled for release next year.
This article takes an advance look at the likely effect of rebasing the SNA on the record of growth since 1992. It presents the results of an approximate rebasing of the expenditure-based GDP of the quarterly National Income and Expenditure Accounts (NIEA).
Release date: 1996-08-30 - Surveys and statistical programs – Documentation: 11F0019M1995083Geography: CanadaDescription:
This paper examines the robustness of a measure of the average complete duration of unemployment in Canada to a host of assumptions used in its derivation. In contrast to the average incomplete duration of unemployment, which is a lagging cyclical indicator, this statistic is a coincident indicator of the business cycle. The impact of using a steady state as opposed to a non steady state assumption, as well as the impact of various corrections for response bias are explored. It is concluded that a non steady state estimator would be a valuable compliment to the statistics on unemployment duration that are currently released by many statistical agencies, and particularly Statistics Canada.
Release date: 1995-12-30 - Surveys and statistical programs – Documentation: 75F0002M1993001Description:
This paper discusses the advantages and disadvantages of an approach to collecting income data being tested for the Survey of Labour and Income Dynamics (SLID) whereby respondents would be encouraged to refer to their T1 income tax forms.
Release date: 1995-12-30 - 340. The Survey of Labour and Income Dynamics (SLID) Labour Interview Questionnaire: January 1993 ArchivedSurveys and statistical programs – Documentation: 75F0002M1993002Description:
The paper provides question wording, lays out the possible responses, and maps out the flow of the questions for the Survey of Labour and Income Dynamics (SLID) labour interview questionnaire.
Release date: 1995-12-30
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