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All (135)
All (135) (30 to 40 of 135 results)
- Articles and reports: 82-003-X202200600003Description:
Canadian immigrants from countries where the hepatitis B virus (HBV) and hepatitis C virus (HCV) are endemic may be at higher risk of liver-related disease than Canadian-born residents. This study compared HBV- and HCV-related hospitalizations in Canadian immigrants (arriving from 1980 to 2013) and long-term residents (Canadian-born population and pre-1980 immigrants) and aimed to describe the burden of disease in both groups.
Release date: 2022-06-15 - Articles and reports: 46-28-0001202200100001Description:
When a survey publishes statistics with a quality indicator, it is usually derived from measures based on sampling theory. The production of quality indicators is a significant challenge when statistics are produced using alternative sources for which no sampling is done. This paper describes a new method used to create a quality indicator that combines indicators obtained at different stages of data processing. An example of the application of the method in the Canadian Housing Statistics Program is provided in the Appendix.
Release date: 2022-01-06 - Articles and reports: 11-633-X2021009Description:
This study assesses the degree to which administrative data, namely the Statistics Canada Longitudinal Worker File, can be used to construct individuals’ work histories. It describes why information obtained from work histories is useful, provides a brief overview of Canadian datasets that have measured work histories to date, and highlights the strengths and weaknesses of the Longitudinal Worker File, and household surveys regarding the construction of individuals’ work histories.
Release date: 2021-12-09 - 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
- Articles and reports: 11-522-X202100100005Description: The Permanent Census of Population and Housing is the new census strategy adopted in Italy in 2018: it is based on statistical registers combined with data collected through surveys specifically designed to improve registers quality and assure Census outputs. The register at the core of the Permanent Census is the Population Base Register (PBR), whose main administrative sources are the Local Population Registers. The population counts are determined correcting the PBR data with coefficients based on the coverage errors estimated with surveys data, but the need for additional administrative sources clearly emerged while processing the data collected with the first round of Permanent Census. The suspension of surveys due to global-pandemic emergency, together with a serious reduction in census budget for next years, makes more urgent a change in estimation process so to use administrative data as the main source. A thematic register has been set up to exploit all the additional administrative sources: knowledge discovery from this database is essential to extract relevant patterns and to build new dimensions called signs of life, useful for population estimation. The availability of the collected data of the two first waves of Census offers a unique and valuable set for statistical learning: association between surveys results and ‘signs of life’ could be used to build classification model to predict coverage errors in PBR. This paper present the results of the process to produce ‘signs of life’ that proved to be significant in population estimation.
Key Words: Administrative data; Population Census; Statistical Registers; Knowledge discovery from databases.
Release date: 2021-10-22 - 36. Creation of a composite quality indicator for administrative data-based estimates using clustering ArchivedArticles and reports: 11-522-X202100100015Description: National statistical agencies such as Statistics Canada have a responsibility to convey the quality of statistical information to users. The methods traditionally used to do this are based on measures of sampling error. As a result, they are not adapted to the estimates produced using administrative data, for which the main sources of error are not due to sampling. A more suitable approach to reporting the quality of estimates presented in a multidimensional table is described in this paper. Quality indicators were derived for various post-acquisition processing steps, such as linkage, geocoding and imputation, by estimation domain. A clustering algorithm was then used to combine domains with similar quality levels for a given estimate. Ratings to inform users of the relative quality of estimates across domains were assigned to the groups created. This indicator, called the composite quality indicator (CQI), was developed and experimented with in the Canadian Housing Statistics Program (CHSP), which aims to produce official statistics on the residential housing sector in Canada using multiple administrative data sources.
Keywords: Unsupervised machine learning, quality assurance, administrative data, data integration, clustering.
Release date: 2021-10-22 - Stats in brief: 45-28-0001202100100024Description:
This article analyzes the Canada Emergency Wage Subsidy Regional and Community-level Database from a rural business perspective. This database covers the period from March 15, 2020 to October 24, 2020. It is based on Canada Revenue Agency (CRA) Canada Emergency Wage Subsidy (CEWS) microdata and administrative data sources available within Statistics Canada. Topics include number of CEWS supported employees and subsidy amounts in rural areas, comparison of rural and urban businesses, and analysis by industry and province/territory.
Release date: 2021-06-07 - 38. Understanding the socioeconomic profile of people who experienced opioid overdoses in British Columbia, 2014 to 2016 ArchivedArticles and reports: 82-003-X202100200003Description: Following the 2016 opioid overdose emergency declaration in British Columbia, provincial stakeholders collaborated to link data that resulted in the British Columbia Provincial Overdose Cohort. This database provides information about people who have experienced opioid overdoses to inform policy and intervention developments. Subsequently, Statistics Canada likewise constructed a cohort and integrated federal data to broaden the scope of the British Columbia initiative. This provided federally sourced information about people’s circumstances that was not otherwise available.Release date: 2021-02-17
- Articles and reports: 11F0019M2021001Description:
The study of the intergenerational transmission of income is perhaps more relevant for understanding trends in inequality over time. How is social status reproduced from one generation to the next? In this paper, administrative Canadian tax data are exploited to compute measures of intergenerational income mobility at the national, provincial and territorial levels. This work provides detailed descriptive evidence on trends in social mobility. Five cohorts of Canadians, born between 1963 and 1985, are observed as teens living with their parents and again as adults in their late 20s and early 30s.
Release date: 2021-02-10 - 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
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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