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- Census of Population (27)
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Results
All (298)
All (298) (0 to 10 of 298 results)
- Articles and reports: 36-28-0001202600700005Description: This article updates the findings of "Recent changes in Canadian-resident travel to the United States", highlighting the persistent decline in return trips from the United States following the emergence of America First policies in early 2025, and the shifting expenditure patterns of Canadian outbound tourists.Release date: 2026-07-22
- Stats in brief: 11-627-M2026025Description: Key statistics about crime in Canada are presented in this infographic. Findings on changes to the Crime Severity Index (CSI) at the national and provincial, territorial levels are presented. Also included are the categories of crime which were reported in 2025.Release date: 2026-07-22
- Stats in brief: 11-627-M2026023Description: This infographic presents data about Nunavut tourism, July to September 2025.Release date: 2026-07-08
- Articles and reports: 12-001-X202600100004Description: We test the notion that a quasi-probabilistic method of selecting individuals within households (last birthday, LB) draws in a different sample compared to a non-probabilistic approach that selects respondents according to known parameters on age and gender (frequency matching, FM). With data from an original field experiment, we evaluate fieldwork efficiency (time and completed cases), economy (cost), success in recruiting a representative sample, and differences across a set of attitudinal and behavioral measures. We find that the FM approach performs better on efficiency and cost and achieves a comparable sample; importantly, this comparability extends across measures of personality traits and public opinion. With appropriate caveats, we conclude that researchers’ choice of selection methods should be guided by both theoretical benefits and practical tradeoffs.Release date: 2026-06-29
- Articles and reports: 12-001-X202600100005Description: Confidence intervals are very often constructed based on a probability distribution that uses a certain number of degrees of freedom as a parameter. This is the case with the Student and the modified Wilson confidence intervals, discussed in this article, which use quantiles from the Student distribution where the number of degrees of freedom is generally unknown. For the length of a confidence interval to be representative of the reliability of an estimate, the actual coverage rate must match the nominal rate. To that end, the number of degrees of freedom in the probability distribution used in practice to calculate the confidence interval must be estimated as precisely as possible. An approximate rule is often used, although it tends to overestimate the actual number of degrees of freedom. In this article, a more precise version of degrees of freedom, derived from the Satterthwaite approximation, is obtained in the context of the Canadian Census of Population. The sampling design is equivalent to a simple random design without replacement, cluster-stratified, and the variance estimation method is an adaptation of the balanced repeated replication method. An explicit expression of the degrees of freedom is obtained under these conditions, enabling the factors influencing them to be identified. For comparison, the degree of freedom formula is also established for the conventional variance estimator. A simulation study shows that using this version of degrees of freedom corrects the undercoverage problem observed with the approximate rule, showing the importance of accurately assessing this number.Release date: 2026-06-29
- Articles and reports: 12-001-X202600100010Description: 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
- Articles and reports: 12-001-X202600100012Description: We propose small area estimators of general indicators in off-census years, which avoid the use of deprecated census microdata, but are nearly optimal in census years. The procedure is based on replacing the obsolete census file with a larger unit-level survey that adequately covers the areas of interest and contains the values of useful auxiliary variables. However, the minimal data requirement of the proposed method is a single survey with microdata on the target variable and suitable auxiliary variables for the period of interest. We also develop an estimator of the mean squared error (MSE) that accounts for the uncertainty introduced by the large survey used to replace the census of auxiliary information. Our empirical results indicate that the proposed predictors perform clearly better than the alternative predictors when census data are outdated, and are very close to optimal ones when census data are correct. They also illustrate that the proposed total MSE estimator corrects for the bias of purely model-based MSE estimators that do not account for the large survey uncertainty.Release date: 2026-06-29
- 8. Socioeconomic and dwelling characteristics of Canadian households using alternative energy sourcesArticles and reports: 36-28-0001202600600002Description: The use of renewable energy sources by Canadian households reflects national priorities and international commitments to sustainability. Using data from the 2021 Households and the Environment Survey, this study examines the socioeconomic and dwelling-related characteristics of households that use renewable energy with respect to how adoption is distributed across the population and which groups are likely to adopt alternative energy, offering context for understanding Canada’s progress toward these goals.Release date: 2026-06-24
- Articles and reports: 37-20-00012026001Description: This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are derived from integrating Postsecondary Student Information System (PSIS) administrative data with other administrative data on earnings and data from the Census of Population long-form. Statistics Canada has derived a series of annual indicators on the labour market outcomes of public postsecondary graduates including median employment income by educational qualification, field of study, Indigenous identity, racialized group, age group and gender for Canada, the provinces and the territories combined. This document has been updated to reflect the 2026 methodology used to produce labour market outcome indicators.Release date: 2026-06-24
- Articles and reports: 11-621-M2026007Description: This study examines the contributing factors that have impacted Canada's property and casualty (P&C) insurers and consumers, particularly over the last six years. These factors include intensification of extreme weather events, an uptick in automobile thefts, rising costs and the pressure of the COVID-19 pandemic.Release date: 2026-06-16
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Stats in brief (36)
Stats in brief (36) (0 to 10 of 36 results)
- Stats in brief: 11-627-M2026025Description: Key statistics about crime in Canada are presented in this infographic. Findings on changes to the Crime Severity Index (CSI) at the national and provincial, territorial levels are presented. Also included are the categories of crime which were reported in 2025.Release date: 2026-07-22
- Stats in brief: 11-627-M2026023Description: This infographic presents data about Nunavut tourism, July to September 2025.Release date: 2026-07-08
- Stats in brief: 11-627-M2026026Description: The infographic provides a high level overview of the main cost drivers to insurers and why consumers are experiencing higher insurance premiums. Home insurance has been most impacted compared to automobile, as many consumers experienced declining premiums during the pandemic for automobile insurance. Extreme weather and pandemic factors influenced homeowners' insurance, whereas rising parts, maintenance, and repair costs as well as a spike in thefts have influenced auto insurance.Release date: 2026-06-16
- Stats in brief: 11-627-M2026005Description: Using police-reported data from the 2024 Uniform Crime Reporting (UCR) Survey, this infographic is a visual representation of some of these data. Findings include results at the national, provincial, and territorial levels. Also included are findings related to the type and motivation of hate crimes committed in Canada, as well as the most serious violations reported in each incident.Release date: 2026-03-30
- Stats in brief: 11-627-M2026012Description: This infographic presents the movement of plastic materials in the Canadian economy in 2022, using data from the Physical Flow Account for Plastic Material. It describes the various stages of their life cycle, from production to recycling.Release date: 2026-03-26
- Stats in brief: 11-627-M2026008Description: The infographic presents alcohol and cannabis sales in Canada for the period from April 1, 2024, to March 31, 2025. It shows a chart comparing alcohol versus cannabis sales per capita across Canada’s provinces and territories. It also includes information on government earnings from the control and sale of alcoholic beverages and cannabis products.Release date: 2026-03-05
- Stats in brief: 11-621-M2025016Description: Amid ongoing shifts in tariffs, trade regulations and U.S. policy, the Canadian Survey on Business Conditions has remained an important tool for understanding the impact of tariffs on businesses in Canada. Building on analysis from the second and third quarters of 2025, which captured the introduction of newly imposed tariffs, followed by reactions to countermeasures, this paper presents updated findings for the fourth quarter of 2025 from the survey that was conducted from October 1 to November 5, 2025.Release date: 2025-12-18
- Stats in brief: 11-627-M2025056Description: This infographic features government spending data in Canada for the 2024-2025 fiscal year. It gives a breakdown of expenses by the socio-economic purpose for which the funds are used.Release date: 2025-11-27
- Stats in brief: 11-627-M2025050Description: This infographic uses data from the 2016 and 2021 Census of Population to provide updated information about the movement of Indigenous people into and out of First Nations reserve communities, with a focus on selected demographic and socioeconomic characteristics.Release date: 2025-10-29
- Stats in brief: 11-631-X2025004Description: This presentation provides an integrated summary of recent economic developments, highlighting key movements in the economic data during the current trade conflict. It focuses on how economic conditions have changed as trade tensions between Canada the United States continue to unfold.Release date: 2025-10-27
Articles and reports (260)
Articles and reports (260) (0 to 10 of 260 results)
- Articles and reports: 36-28-0001202600700005Description: This article updates the findings of "Recent changes in Canadian-resident travel to the United States", highlighting the persistent decline in return trips from the United States following the emergence of America First policies in early 2025, and the shifting expenditure patterns of Canadian outbound tourists.Release date: 2026-07-22
- Articles and reports: 12-001-X202600100004Description: We test the notion that a quasi-probabilistic method of selecting individuals within households (last birthday, LB) draws in a different sample compared to a non-probabilistic approach that selects respondents according to known parameters on age and gender (frequency matching, FM). With data from an original field experiment, we evaluate fieldwork efficiency (time and completed cases), economy (cost), success in recruiting a representative sample, and differences across a set of attitudinal and behavioral measures. We find that the FM approach performs better on efficiency and cost and achieves a comparable sample; importantly, this comparability extends across measures of personality traits and public opinion. With appropriate caveats, we conclude that researchers’ choice of selection methods should be guided by both theoretical benefits and practical tradeoffs.Release date: 2026-06-29
- Articles and reports: 12-001-X202600100005Description: Confidence intervals are very often constructed based on a probability distribution that uses a certain number of degrees of freedom as a parameter. This is the case with the Student and the modified Wilson confidence intervals, discussed in this article, which use quantiles from the Student distribution where the number of degrees of freedom is generally unknown. For the length of a confidence interval to be representative of the reliability of an estimate, the actual coverage rate must match the nominal rate. To that end, the number of degrees of freedom in the probability distribution used in practice to calculate the confidence interval must be estimated as precisely as possible. An approximate rule is often used, although it tends to overestimate the actual number of degrees of freedom. In this article, a more precise version of degrees of freedom, derived from the Satterthwaite approximation, is obtained in the context of the Canadian Census of Population. The sampling design is equivalent to a simple random design without replacement, cluster-stratified, and the variance estimation method is an adaptation of the balanced repeated replication method. An explicit expression of the degrees of freedom is obtained under these conditions, enabling the factors influencing them to be identified. For comparison, the degree of freedom formula is also established for the conventional variance estimator. A simulation study shows that using this version of degrees of freedom corrects the undercoverage problem observed with the approximate rule, showing the importance of accurately assessing this number.Release date: 2026-06-29
- Articles and reports: 12-001-X202600100010Description: 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
- Articles and reports: 12-001-X202600100012Description: We propose small area estimators of general indicators in off-census years, which avoid the use of deprecated census microdata, but are nearly optimal in census years. The procedure is based on replacing the obsolete census file with a larger unit-level survey that adequately covers the areas of interest and contains the values of useful auxiliary variables. However, the minimal data requirement of the proposed method is a single survey with microdata on the target variable and suitable auxiliary variables for the period of interest. We also develop an estimator of the mean squared error (MSE) that accounts for the uncertainty introduced by the large survey used to replace the census of auxiliary information. Our empirical results indicate that the proposed predictors perform clearly better than the alternative predictors when census data are outdated, and are very close to optimal ones when census data are correct. They also illustrate that the proposed total MSE estimator corrects for the bias of purely model-based MSE estimators that do not account for the large survey uncertainty.Release date: 2026-06-29
- 6. Socioeconomic and dwelling characteristics of Canadian households using alternative energy sourcesArticles and reports: 36-28-0001202600600002Description: The use of renewable energy sources by Canadian households reflects national priorities and international commitments to sustainability. Using data from the 2021 Households and the Environment Survey, this study examines the socioeconomic and dwelling-related characteristics of households that use renewable energy with respect to how adoption is distributed across the population and which groups are likely to adopt alternative energy, offering context for understanding Canada’s progress toward these goals.Release date: 2026-06-24
- Articles and reports: 37-20-00012026001Description: This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are derived from integrating Postsecondary Student Information System (PSIS) administrative data with other administrative data on earnings and data from the Census of Population long-form. Statistics Canada has derived a series of annual indicators on the labour market outcomes of public postsecondary graduates including median employment income by educational qualification, field of study, Indigenous identity, racialized group, age group and gender for Canada, the provinces and the territories combined. This document has been updated to reflect the 2026 methodology used to produce labour market outcome indicators.Release date: 2026-06-24
- Articles and reports: 11-621-M2026007Description: This study examines the contributing factors that have impacted Canada's property and casualty (P&C) insurers and consumers, particularly over the last six years. These factors include intensification of extreme weather events, an uptick in automobile thefts, rising costs and the pressure of the COVID-19 pandemic.Release date: 2026-06-16
- Articles and reports: 36-28-0001202600500001Description: This article compares labour productivity from 1997 to 2024 between industries dependent on U.S. demand and other industries in the business sector. Labour productivity in this study is measured by real value added per hour worked.Release date: 2026-05-27
- Articles and reports: 62F0014M2026004Description: In collaboration with the Bank of Canada, this research paper extends previous work on alternative approaches to measuring owned accommodation (OA) in the Canadian Consumer Price Index (CPI), with a particular focus on rental equivalence (RE). The analysis constructs analytical price index series for Canada using the main OA measurement concepts proposed in the International Consumer Price Index Manual and widely adopted internationally. The study examines how OA and the all-items CPI may have evolved from 2004 to 2025 under different methodologies. The inclusion of asking-rent–based RE measures aims to better capture secondary rental market dynamics and provide more timely insights into how rent movements affect OA and the all-items CPI.Release date: 2026-05-26
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Journals and periodicals (2)
Journals and periodicals (2) ((2 results))
- 1. Revisions to Canada and United States Annual Estimates of Labour Productivity in the Business SectorJournals and periodicals: 15-212-XGeography: CanadaDescription: This paper examines the revisions published in 2011 to Canadian and the United States business sector labour productivity estimates and related variables. In addition to the usual three years revision cycle of the Canadian National Accounts, hours worked in Canada were revised back to 1981 to incorporate the historical revision of the Labour Force Survey published in January 2011. The United States National Accounts estimates were revised back to 2003 and hours worked back to 2002.Release date: 2012-03-29
- Journals and periodicals: 85-004-XGeography: CanadaDescription:
This report introduces the Crime Severity Index, a new tool for measuring police-reported crime in Canada that for the first time tracks changes in the severity of crime, not just volume.The report also examines how crime is measured in Canada, as well as recent improvements to statistics on crime that are gathered from the police.
Release date: 2009-04-21