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All (135)
All (135) (40 to 50 of 135 results)
- 41. Job displacement in coal mining in Canada ArchivedStats in brief: 11-627-M2020023Description: Efforts to make a transition to a low carbon economy have raised concerns that workers displaced from traditional energy-producing sectors might experience substantial earnings declines after job loss.
Using data from a rich administrative dataset, this study documents the employment and earnings trajectories of coal miners who were displaced during the late 1990s and the 2000s.
Release date: 2020-12-15 - 42. Associations between the receipt of inpatient palliative care and acute care outcomes: A retrospective study ArchivedArticles and reports: 82-003-X202001000001Description: The present study examines the receipt of inpatient palliative care and its association with location of death, as well as with admission to intensive care units and use of alternate level of care beds in hospital in the last 30 days of life.Release date: 2020-10-21
- Surveys and statistical programs – Documentation: 11-633-X2019005Description:
The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years. The IMDB includes Immigration, Refugees and Citizenship Canada (IRCC) administrative records which contain exhaustive information about immigrants who were admitted to Canada since 1952. It also includes data about non-permanent residents who have been issued temporary resident permits since 1980. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.
The IMDB was released in stages. The sections 2.2 and 7 of this report were revised to take the updates into account.
Release date: 2020-07-20 - Articles and reports: 11F0019M2020008Description:
Multinationals play an important role in the world economy because they are larger, innovate more, are more productive and pay higher wages compared with non-multinationals. Multinationals (i.e., firms that have established affiliates or subsidiaries in other countries) have played an increasingly important role in many economies. In Canada, multinationals accounted for only 0.8% of all enterprises in 2016, but they held 67% of all assets in the Canadian economy (Schaffter and Fortier-Labonté 2019). Given the importance of multinationals to the Canadian economy, it is essential for policy makers to understand the economic performance and productivity advantage of multinationals operating in Canada.
To address policy-relevant research questions, a rich micro dataset covering all industries from 2000 to 2014 has been constructed for this study, using several administrative microdata files at Statistics Canada. This dataset is used to delve deeper into and estimate the productivity advantage of multinationals, including the selection and learning effects associated with multinationality. In addition, this study investigates whether and how research and development (R&D) investment contributes to the superior productivity performance of multinationals.
Release date: 2020-05-26 - Articles and reports: 89-648-X2020002Description:
Administrative data sets have become increasingly popular sources of information to study mobility across generations. However, the inclusion of parent-child pairs depends on the primary purpose for which the data was collected. In the case of tax records, both parents and children must have worked and filed their taxes, and the children's labour market entry must have happened before they left the parental home. This paper documents selection in samples of parent-child pairs constructed from personal income tax records from Canada, and discusses implications for intergenerational research. It takes advantage of the fact that Statistics Canada's Longitudinal and International Study of Adults (LISA) includes both survey and administrative data to inform the nature and severity of the resulting sample selection. Results show that respondents who were successfully linked to their parents are more educated, and are more likely to have grown up in better educated, nuclear families. However, correcting for sample selection suggests that there is no bias in unadjusted estimates.
Release date: 2020-03-17 - Articles and reports: 89-648-X2020003Description:
This study investigates the suitability of Canada's Longitudinal and International Study of Adults (LISA) for research on intergenerational income mobility. The LISA combines survey data, collected biennially since 2012, and the personal income tax records of both respondents and their past and present family members. In comparison, existing work on intergenerational mobility in Canada has often used the Intergenerational Income Database (IID), a purely administrative dataset based on the universe of tax filers. The IID's size has allowed researchers to describe the experience of mobility of narrowly defined geographic units and cohorts. However, its potential to investigate the mechanisms underlying these patterns is limited, given the small set of variables it informs. As such, the LISA is a promising candidate to further our understanding of the drivers of mobility. This study reproduces the analysis from four key papers that have documented the intergenerational transmission of income in Canada using the IID. Despite having a much smaller sample size and a different approach to the establishment of parent-child links, it finds that the LISA produces results that are consistent with the existing literature. This study also explores the sensitivity of rank-rank estimates to the choice of different specification and present results that will guide the methodological choices to be made by users of the LISA intergenerational family files in combination with LISA variables from the survey data.
Release date: 2020-03-17 - Surveys and statistical programs – Documentation: 37-20-00012020001Description:
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 release are derived from integrating the Registered Apprenticeship Information System (RAIS) 2008 to 2017 data with other administrative data on earnings. Statistics Canada has derived a series of indicators on educational pathways and labour market outcomes for registered apprentices by select trades, cohorts of apprentices, by sex, for Canada, all provinces, the Atlantic region, and for grouped territories.
Release date: 2020-03-16 - 48. Canadian Census Health and Environment Cohorts: Creation of a new health surveillance program ArchivedStats in brief: 11-629-X2019006Description:
This video describes a new health surveillance program at Statistics Canada: The Canadian Census Health and Environment Cohorts (CanCHECs). The video describes the attributes of and the datasets included in the CanCHECs, how the CanCHECs can be used, and their strengths and limitations. Recent examples of research projects based on the CanCHECs are presented along with information about how to apply for access to these data.
Release date: 2019-12-18 - Articles and reports: 11F0019M2019025Description:
This study identifies gig workers based on characteristics of their work arrangements and how these are reported in tax data. It introduces a definition of gig work specific to the way work arrangements are reported in the Canadian tax system and estimates the size of the gig economy in Canada using administrative data. The share of gig workers among all workers rose from 5.5% in 2005 to 8.2% in 2016. Some of this increase coincided with the introduction and proliferation of online platforms. The analysis highlights gender differences in the trends and characteristics of gig workers. By linking administrative data to 2016 Census microdata, this study also examines educational and occupational differences in the prevalence of gig workers.
Release date: 2019-12-16 - Surveys and statistical programs – Documentation: 12-539-XDescription:
This document brings together guidelines and checklists on many issues that need to be considered in the pursuit of quality objectives in the execution of statistical activities. Its focus is on how to assure quality through effective and appropriate design or redesign of a statistical project or program from inception through to data evaluation, dissemination and documentation. These guidelines draw on the collective knowledge and experience of many Statistics Canada employees. It is expected that Quality Guidelines will be useful to staff engaged in the planning and design of surveys and other statistical projects, as well as to those who evaluate and analyze the outputs of these projects.
Release date: 2019-12-04
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Data (2)
Data (2) ((2 results))
- Data Visualization: 71-607-X2019033Description: Immigrant Mobility by Geography of admission, Geography of residence, Immigrant mobility indicators, Age groups and sex at taxation year, Pre-admission experience, Knowledge of official languages at admission, Immigrant admission category, and admission year.Release date: 2025-12-19
- 2. Health Profile ArchivedProfile of a community or region: 82-228-XDescription:
This application is designed to give quick access to the latest health-related data for a selected health region or census metropolitan area, providing the corresponding provincial data by default, but users can easily select a different area for comparison. The Health Profile features sub-provincial data from a number of sources including Statistics Canada's vital statistics, Canadian Cancer Registry, the Canadian Community Health Survey, and Census of Population, as well as hospitalization data from the Canadian Institute for Health Information.
Release date: 2014-04-16
Analysis (104)
Analysis (104) (0 to 10 of 104 results)
- Articles and reports: 12-001-X202500200011Description: We propose an approximate hierarchical Bayes approach that uses the Natural Exponential Family with Quadratic Variance Function (NEF-QVF) in combining information from multiple sources to improve traditional survey estimates of finite population means for small areas. Unlike other Bayesian approaches in finite population sampling, we do not assume a model for all units of the finite population and do not require linking sampled units to the finite population frame. We assume a model only for the finite population units in which the outcome variable is observed; because, for these units, the assumed model can be checked using existing statistical tools. We do not posit an elaborate model on the true means for unobserved units. Instead, we assume that population means of cells with the same combination of factor levels are identical across small areas, and that the population mean for a cell is identical to the mean of the observed units in that cell. We apply our proposed methodology to a real-life survey, linking information from multiple disparate data sources. We also provide practical ways of model selection that can be applied to a wider class of models under similar setting but for a diverse range of scientific problems.Release date: 2025-12-23
- Journals and periodicals: 46-28-0001Description: This publication provides insights on housing data and analysis at Statistics Canada. Readers can access in-depth information on the latest housing data released by the Agency. The series relies on both descriptive and analytical methods to analyze administrative and survey data sets that relate to housing.Release date: 2025-12-11
- 3. Workforce insights: Demographics in the food services and drinking places subsector, 2017 to 2023Articles and reports: 11-621-M2025013Description: This paper explores the demographic differences among employees in the food services and drinking places subsector by leveraging administrative data to examine the workforce distribution by gender, age, full-time work status and residency status from 2017 to 2023.Release date: 2025-09-23
- Articles and reports: 11-522-X202500100018Description: The Child Poverty Reduction Act (2018) outlines a need for the New Zealand Government to set three- and ten-yearly persistent child poverty reduction targets come end of 2024. In the absence of longitudinal survey data, a survey-administrative data hybrid method that will facilitate the production of these reduction targets and official estimates of persistent child poverty once reporting is required for the 2025/2026 financial year onwards is outlined. This hybrid approach leverages off the cross-sectional Household Economic Survey (HES), administrative-based beneficiary's family data, and recent advances developed for the construction of households within the Administrative Population Census (APC) at Statistics New Zealand. With increasing data collection challenges due to rising non-response and costs, this survey-admin hybrid method represents an alternative to longitudinal survey data collection, ensuring ongoing sustainable and quality statistics to produce persistent child poverty estimates.Release date: 2025-09-08
- Articles and reports: 11-522-X202500100022Description: In Canada, T1 Tax forms are used to report personal income, whether earned as an employee or through self-employment. Income from self-employment, or "T1 Business Income" is reported by sole proprietorships or partnerships. A T1 partnership involves two or more legal entities jointly filing for a shared business. T1 business data is received as individual filings, meaning partnerships are received separately for each partner. Internal record linkage within the T1 business database is performed to identify partnerships and prevent overcoverage within the final population of T1 businesses. This new T1 partnership identification process takes advantage of newer algorithms, such as DBSCAN numerical clustering fuzzy matching, to identify internal linkages. Graph theory is used to construct the list of partnerships from the row-pairs identified in the linkage process.Release date: 2025-09-08
- Journals and periodicals: 11-522-XDescription: Since 1984, an annual international symposium on methodological issues has been sponsored by Statistics Canada. Proceedings have been available since 1987.Release date: 2025-09-08
- Articles and reports: 36-28-0001202500800002Description: Temporary foreign workers (TFWs) are playing an increasingly important role in addressing labour shortages in Canada’s health care sector. This study uses the integrated longitudinal administrative database and examines the number and characteristics of TFWs employed in the health care sector since 2000. It also tracks their transition to permanent residency (PR) and analyzes the percentage of individuals who remain in the sector after gaining PR.Release date: 2025-08-27
- 8. Author’s response to comments on “Progress in survey science and practice: Yesterday-today-tomorrow”Articles and reports: 12-001-X202500100015Description: 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
- Articles and reports: 12-001-X202500100017Description: 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
- Articles and reports: 12-001-X202500100020Description: Carl-Erik Särndal’s essay on the challenges to the probability sample survey paradigm (or research tradition) quotes my 2014 article in this journal, which “impatiently” called for a move to a mixed data (or blended data) sources paradigm. I explain my intent not to downgrade probability surveys but to blend them with administrative records and other sources to improve data quality and relevance. The United States has made strides toward blended data since I wrote my article.Release date: 2025-06-30
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Reference (28)
Reference (28) (0 to 10 of 28 results)
- Notices and consultations: 89-26-0007Description: This report describes how Statistics Canada administers its responsibilities of the Access to Information Act. It is prepared and submitted in accordance with section 94(1) of the Act and is tabled in Parliament.Release date: 2026-02-25
- Surveys and statistical programs – Documentation: 11-633-X2025004Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 40 years.Release date: 2025-12-08
- Surveys and statistical programs – Documentation: 12-585-XDescription: This product is the dictionary for the Longitudinal Administrative Databank (LAD). The dictionary contains a complete description for each of the income and demographic variables in the LAD, including name, acronym, definition, source, historical availability and historical continuity.
The following is a partial list of LAD variables: age, sex, marital status, family type, number and age of children, total income, wages and salaries, self-employment, Employment Insurance, Old Age Security, Canada and Quebec Pension Plans, social assistance, investment income, rental income, alimony, registered retirement savings plan (RRSP) income and contributions, low-income status, full-time education deduction, provincial refundable tax credits, goods and service tax (GST) credits, Canada Child Tax Benefits, selected immigration variables, Tax Free Savings (TFSA) information and Canadian Controlled Private Corporations (CCPC) information.
Release date: 2025-10-31 - Surveys and statistical programs – Documentation: 13-26-0005Description: The Canadian Census Health and Environment Cohorts (CanCHECs) are a series of population-based microdata linkages. The CanCHECs combine census respondents to the long-form questionnaire with administrative health data and annual postal codes for mailing addresses. These data can be used to examine health outcomes by population characteristics measured by the census long-form sample data. This user guide has been created to help potential data users, including researchers and academics, public health officials, government agencies, the private sector, and non-governmental organizations.Release date: 2025-06-18
- Surveys and statistical programs – Documentation: 11-633-X2024004Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 40 years.Release date: 2024-12-09
- Surveys and statistical programs – Documentation: 11-633-X2024005Description: The Analytical Studies and Modelling Branch is the research (ASMB), modelling, training and access hub of Statistics Canada. It focuses on leveraging the agency’s vast data holdings to generate in-depth insights that support evidence-based policy making and to enable others to do so through analytical training and data access. The ASMB, like other program areas in the agency, works to support Statistics Canada’s overall mission of delivering insights through data for a better Canada.Release date: 2024-12-06
- Surveys and statistical programs – Documentation: 11-633-X2024001Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years.Release date: 2024-01-22
- Surveys and statistical programs – Documentation: 11-633-X2022009Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years.
This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.
Release date: 2022-12-05 - Surveys and statistical programs – Documentation: 11-633-X2021008Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years. The IMDB includes Immigration, Refugees and Citizenship Canada (IRCC) administrative records which contain exhaustive information about immigrants who were admitted to Canada since 1952. It also includes data about non-permanent residents who have been issued temporary resident permits since 1980. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.Release date: 2021-12-06
- Surveys and statistical programs – Documentation: 11-633-X2021002Description:
The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years. The IMDB includes Immigration, Refugees and Citizenship Canada (IRCC) administrative records which contain exhaustive information about immigrants who were admitted to Canada since 1952. It also includes data about non-permanent residents who have been issued temporary resident permits since 1980. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.
Release date: 2021-02-01