Analysis

Skip to filters. View results.

View results

Filter results by

Search Help
Currently selected filters that can be removed
Remove Remove "Latest (excludes archived)" filter
Clear all

Keyword(s)

Subject

Year of publication

6 facets displayed. 0 facets selected.

Author(s)

21 facets displayed. 0 facets selected.

Survey or statistical program

12 facets displayed. 0 facets selected.

Content

1 facets displayed. 1 facets selected.
Sort Help
entries

Results

All (33)

All (33) (0 to 10 of 33 results)

  • 1. Exact and approximation formulas for second-order inclusion probabilities in randomized systematic sampling with unequal probabilities and without replacement
    Articles and reports: 12-001-X202600100003
    Description: Probability-proportional-to-size sampling is widely used by national statistical offices. Here population units are selected with probabilities proportional to an auxiliary variable. Variance formulas in such designs require both first- and second-order inclusion probabilities. The computation of second-order inclusion probabilities is particularly challenging for large populations, and has been the subject of extensive research. This article presents some new exact and approximation formulas for second-order inclusion probabilities in randomized systematic sampling with unequal probabilities and without replacement.
    Release date: 2026-06-29
  • 2. Variance of the generalized regression estimator under measurement error
    Articles and reports: 12-001-X202600100010
    Description: With the exception of two-phase sampling, the standard variance approximation of the generalized regression (GREG) estimator assumes that the population totals in the weighting scheme are observed without error. If the weighting model of the GREG estimator contains population totals that are observed with measurement error sources other than the sampling error of first-phase estimates, then this uncertainty will be ignored by the variance approximation of the GREG estimator. This paper proposes a variance approximation for the GREG estimator that accounts for additional uncertainty arising from measurement error in one or more of the population totals used in the weighting scheme. This approach has been developed for, and is being applied to, the Dutch Labour Force Survey (DLFS). The monthly publications of the DLFS are obtained with a time series model, which corrects for rotation group bias and discontinuities caused by major redesigns and the loss of face-to-face interviews during COVID-19. The GREG estimates for the quarterly figures are benchmarked to the average of the monthly publications to enforce numerical consistency between monthly and quarterly publication tables. The standard variance approximation of the GREG estimator assumes that these population totals are observed without error. This results in an underestimation of the variance of the GREG estimator. The variance approximation proposed in this paper results in more realistic standard errors for the quarterly GREG estimates.
    Release date: 2026-06-29
  • 3. New Housing Market Report, 2025: Experimental estimates
    Articles and reports: 62F0014M2026002
    Description: The New Housing Market Report (NHMR) provides a quarterly snapshot of the new housing market in Canada. The report was designed to be used by economists, builders, developers, policymakers, as well as Canadians to evaluate the new housing market. Due to the level of geographic detail provided, and the sensitivity to changes in supply and demand, the NHMR series would be of particular interest to the real estate industry for comparison with the resale market statistics.

    The NHMR measures the average quarterly price for all dwelling types listed or sold in Canada. The report covers both single family (detached, semi detached, and row) and multi-family dwelling types.
    Release date: 2026-06-17
  • 4. Technical guide for the New Housing Market Report: 2025 update
    Articles and reports: 62F0014M2026003
    Description: This technical guide presents the data sources and methodology for the New Housing Market Report (NHMR). The NHMR provides a quarterly snapshot of the new housing market in Canada. The report was designed to be used by economists, builders, developers, policymakers, as well as Canadians to evaluate the new housing market. Due to the level of geographic detail provided, and the sensitivity to changes in supply and demand, the NHMR series would be of particular interest to the real estate industry for comparison with the resale market statistics. 

    The NHMR measures the average quarterly price for all dwelling types listed or sold in Canada. The report covers both single family (single-detached, semi-detached, and row houses) and condominium apartment dwelling types.
    Release date: 2026-06-17
  • 5. Racialized groups who have a regular health care provider: An overview
    Articles and reports: 75-006-X202600100005
    Description: The article examines the prevalence of having a regular health care provider (RHCP) among the seven largest racialized groups in Canada. Specifically, using data from the 2024 Canadian Community Health Survey, the article shows how the proportion of people who have an RHCP differs between and within the racialized populations and the non-racialized and non-Indigenous population and varies across racialized groups based on demographic characteristics, such as gender, age, immigrant status, immigration period and provincial region.
    Release date: 2026-04-22
  • 6. Validating the Warwick-Edinburgh Mental Well-being Scale for the positive mental health surveillance of adults in Canada
    Articles and reports: 82-003-X202600300002
    Description: The accurate monitoring of population mental health requires repeated assessments using valid and reliable measures. The Warwick-Edinburgh Mental Well-being Scale (WEMWBS) and its short form (SWEMWBS) are widely used positive mental health (PMH) measures. This study used cross-sectional data from the 2024 Canadian Community Health Survey – Rapid Response on Sleep Quality and Positive Mental Health to test the validity of the WEMWBS and the SWEMWBS among Canadian adults.
    Release date: 2026-03-18
  • 7. Risk factors for substance-related acute toxicity deaths in Canada from 2016 to 2021: Findings from the 2016 Canadian Census Health and Environment Cohort
    Articles and reports: 82-003-X202600200002
    Description: Critically high numbers of poisoning-related deaths, also known as acute toxicity deaths (ATDs), occur every year in Canada, with the number of deaths attributed to accidental drug poisonings having increased dramatically since 2016. Research about the age, sex, and geographic location of people dying of acute toxicities in Canada show that some populations are disproportionately affected. However, national-level information about decedents’ socioeconomic characteristics remains limited. This study identifies populations facing higher (or lower) rates of ATDs, based on age-standardized mortality rates, relative to a comparison group, using integrated Canadian Census Health and Environment Cohort data.
    Release date: 2026-02-18
  • 8. Estimating monthly indicators for Consumer Confidence using Structural Time Series Models
    Articles and reports: 12-001-X202500200003
    Description: In this paper a model-based inference procedure based on a multivariate structural time series model is developed for the production of monthly figures about consumer confidence. The input for the model are five series of direct estimates for the indices that measure consumer confidence, which are derived from the Dutch Consumer Survey. The model improves the accuracy of the direct estimates, since it provides a better separation of measurement errors and sampling errors from estimated target parameters. The standard errors for the month-to-month changes are clearly smaller under the time series model. A second problem addressed in this paper is related to the transition to a new survey process in 2017. Structural time series models in combination with a parallel run are applied to estimate discontinuities induced by the redesign. An algorithm designed for the consumer confidence variables is developed to construct uninterrupted input series for the aforementioned structural time series model. This inference method facilitated a smooth transition to a new survey design and resulted in uninterrupted series about consumer confidence that date back to 1986. The method is implemented for the production of official monthly figures on consumer confidence in the Netherlands.
    Release date: 2025-12-23
  • 9. Collinearity diagnostics in generalized linear models fitted with survey data
    Articles and reports: 12-001-X202500200004
    Description: The class of generalized linear models (GLM) is a flexible generalization of ordinary least squares regression that allows the linear model to be related to the response variable via a link function and assumes the magnitude of the variance of each measurement to be a function of its predicted value. Multicollinearity in GLMs can inflate variances of the estimated coefficients and cause poor prediction in certain regions of the regression space. It may also cause a nonsignificant Wald statistic even when the predictors are highly predictive in a model of the family of GLMs. Little previous research has closely investigated the diagnostics of multicollinearity in GLMs, especially when complex survey data are used. In this paper, we develop variance inflation factors (VIFs) that measure the amount that the variance of a parameter estimator is increased due to multicollinearity in GLMs. We also extend VIFs and condition indexes to apply to complex survey data, accounting for design features, e.g. weights, clusters, and strata. Illustrations of these methods are given using data from a household survey of health and nutrition.
    Release date: 2025-12-23
  • 10. International student enrolments at Canadian public colleges, 2014/2015 and 2023/2024
    Stats in brief: 11-627-M2025048
    Description: Comparison of international student enrolments at Canadian public colleges between 2014/2015 and 2023/2024 by province of study, country of citizenship, and field of study, using Postsecondary Student Information System (PSIS) data.
    Release date: 2025-11-20
Stats in brief (2)

Stats in brief (2) ((2 results))

  • 1. International student enrolments at Canadian public colleges, 2014/2015 and 2023/2024
    Stats in brief: 11-627-M2025048
    Description: Comparison of international student enrolments at Canadian public colleges between 2014/2015 and 2023/2024 by province of study, country of citizenship, and field of study, using Postsecondary Student Information System (PSIS) data.
    Release date: 2025-11-20
  • 2. Memory disabilities, 2022
    Stats in brief: 11-627-M2024044
    Description: Utilizing data from the 2022 Canadian Survey on Disability, this infographic highlights the trends and experiences of persons with memory disabilities. This release is part of a series of infographics that focus on specific disability types.
    Release date: 2024-10-08
Articles and reports (31)

Articles and reports (31) (0 to 10 of 31 results)

  • 1. Exact and approximation formulas for second-order inclusion probabilities in randomized systematic sampling with unequal probabilities and without replacement
    Articles and reports: 12-001-X202600100003
    Description: Probability-proportional-to-size sampling is widely used by national statistical offices. Here population units are selected with probabilities proportional to an auxiliary variable. Variance formulas in such designs require both first- and second-order inclusion probabilities. The computation of second-order inclusion probabilities is particularly challenging for large populations, and has been the subject of extensive research. This article presents some new exact and approximation formulas for second-order inclusion probabilities in randomized systematic sampling with unequal probabilities and without replacement.
    Release date: 2026-06-29
  • 2. Variance of the generalized regression estimator under measurement error
    Articles and reports: 12-001-X202600100010
    Description: With the exception of two-phase sampling, the standard variance approximation of the generalized regression (GREG) estimator assumes that the population totals in the weighting scheme are observed without error. If the weighting model of the GREG estimator contains population totals that are observed with measurement error sources other than the sampling error of first-phase estimates, then this uncertainty will be ignored by the variance approximation of the GREG estimator. This paper proposes a variance approximation for the GREG estimator that accounts for additional uncertainty arising from measurement error in one or more of the population totals used in the weighting scheme. This approach has been developed for, and is being applied to, the Dutch Labour Force Survey (DLFS). The monthly publications of the DLFS are obtained with a time series model, which corrects for rotation group bias and discontinuities caused by major redesigns and the loss of face-to-face interviews during COVID-19. The GREG estimates for the quarterly figures are benchmarked to the average of the monthly publications to enforce numerical consistency between monthly and quarterly publication tables. The standard variance approximation of the GREG estimator assumes that these population totals are observed without error. This results in an underestimation of the variance of the GREG estimator. The variance approximation proposed in this paper results in more realistic standard errors for the quarterly GREG estimates.
    Release date: 2026-06-29
  • 3. New Housing Market Report, 2025: Experimental estimates
    Articles and reports: 62F0014M2026002
    Description: The New Housing Market Report (NHMR) provides a quarterly snapshot of the new housing market in Canada. The report was designed to be used by economists, builders, developers, policymakers, as well as Canadians to evaluate the new housing market. Due to the level of geographic detail provided, and the sensitivity to changes in supply and demand, the NHMR series would be of particular interest to the real estate industry for comparison with the resale market statistics.

    The NHMR measures the average quarterly price for all dwelling types listed or sold in Canada. The report covers both single family (detached, semi detached, and row) and multi-family dwelling types.
    Release date: 2026-06-17
  • 4. Technical guide for the New Housing Market Report: 2025 update
    Articles and reports: 62F0014M2026003
    Description: This technical guide presents the data sources and methodology for the New Housing Market Report (NHMR). The NHMR provides a quarterly snapshot of the new housing market in Canada. The report was designed to be used by economists, builders, developers, policymakers, as well as Canadians to evaluate the new housing market. Due to the level of geographic detail provided, and the sensitivity to changes in supply and demand, the NHMR series would be of particular interest to the real estate industry for comparison with the resale market statistics. 

    The NHMR measures the average quarterly price for all dwelling types listed or sold in Canada. The report covers both single family (single-detached, semi-detached, and row houses) and condominium apartment dwelling types.
    Release date: 2026-06-17
  • 5. Racialized groups who have a regular health care provider: An overview
    Articles and reports: 75-006-X202600100005
    Description: The article examines the prevalence of having a regular health care provider (RHCP) among the seven largest racialized groups in Canada. Specifically, using data from the 2024 Canadian Community Health Survey, the article shows how the proportion of people who have an RHCP differs between and within the racialized populations and the non-racialized and non-Indigenous population and varies across racialized groups based on demographic characteristics, such as gender, age, immigrant status, immigration period and provincial region.
    Release date: 2026-04-22
  • 6. Validating the Warwick-Edinburgh Mental Well-being Scale for the positive mental health surveillance of adults in Canada
    Articles and reports: 82-003-X202600300002
    Description: The accurate monitoring of population mental health requires repeated assessments using valid and reliable measures. The Warwick-Edinburgh Mental Well-being Scale (WEMWBS) and its short form (SWEMWBS) are widely used positive mental health (PMH) measures. This study used cross-sectional data from the 2024 Canadian Community Health Survey – Rapid Response on Sleep Quality and Positive Mental Health to test the validity of the WEMWBS and the SWEMWBS among Canadian adults.
    Release date: 2026-03-18
  • 7. Risk factors for substance-related acute toxicity deaths in Canada from 2016 to 2021: Findings from the 2016 Canadian Census Health and Environment Cohort
    Articles and reports: 82-003-X202600200002
    Description: Critically high numbers of poisoning-related deaths, also known as acute toxicity deaths (ATDs), occur every year in Canada, with the number of deaths attributed to accidental drug poisonings having increased dramatically since 2016. Research about the age, sex, and geographic location of people dying of acute toxicities in Canada show that some populations are disproportionately affected. However, national-level information about decedents’ socioeconomic characteristics remains limited. This study identifies populations facing higher (or lower) rates of ATDs, based on age-standardized mortality rates, relative to a comparison group, using integrated Canadian Census Health and Environment Cohort data.
    Release date: 2026-02-18
  • 8. Estimating monthly indicators for Consumer Confidence using Structural Time Series Models
    Articles and reports: 12-001-X202500200003
    Description: In this paper a model-based inference procedure based on a multivariate structural time series model is developed for the production of monthly figures about consumer confidence. The input for the model are five series of direct estimates for the indices that measure consumer confidence, which are derived from the Dutch Consumer Survey. The model improves the accuracy of the direct estimates, since it provides a better separation of measurement errors and sampling errors from estimated target parameters. The standard errors for the month-to-month changes are clearly smaller under the time series model. A second problem addressed in this paper is related to the transition to a new survey process in 2017. Structural time series models in combination with a parallel run are applied to estimate discontinuities induced by the redesign. An algorithm designed for the consumer confidence variables is developed to construct uninterrupted input series for the aforementioned structural time series model. This inference method facilitated a smooth transition to a new survey design and resulted in uninterrupted series about consumer confidence that date back to 1986. The method is implemented for the production of official monthly figures on consumer confidence in the Netherlands.
    Release date: 2025-12-23
  • 9. Collinearity diagnostics in generalized linear models fitted with survey data
    Articles and reports: 12-001-X202500200004
    Description: The class of generalized linear models (GLM) is a flexible generalization of ordinary least squares regression that allows the linear model to be related to the response variable via a link function and assumes the magnitude of the variance of each measurement to be a function of its predicted value. Multicollinearity in GLMs can inflate variances of the estimated coefficients and cause poor prediction in certain regions of the regression space. It may also cause a nonsignificant Wald statistic even when the predictors are highly predictive in a model of the family of GLMs. Little previous research has closely investigated the diagnostics of multicollinearity in GLMs, especially when complex survey data are used. In this paper, we develop variance inflation factors (VIFs) that measure the amount that the variance of a parameter estimator is increased due to multicollinearity in GLMs. We also extend VIFs and condition indexes to apply to complex survey data, accounting for design features, e.g. weights, clusters, and strata. Illustrations of these methods are given using data from a household survey of health and nutrition.
    Release date: 2025-12-23
  • 10. New Housing Market Report, 2024: Experimental estimates
    Articles and reports: 62F0014M2024007
    Description: The New Housing Market Report (NHMR) provides a quarterly snapshot of the new housing market in Canada. The report was designed to be used by economists, builders, developers, policymakers, as well as Canadians to evaluate the new housing market. Due to the level of geographic detail provided, and the sensitivity to changes in supply and demand, the NHMR series would be of particular interest to the real estate industry for comparison with the resale market statistics.

    The NHMR measures the average quarterly price for all dwelling types listed or sold in Canada. The report covers both single family (detached, semi detached, and townhomes) and multi-family dwelling types.
    Release date: 2025-07-07

Sort Help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort Help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Search Help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Date modified: