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All (166) (40 to 50 of 166 results)

  • Stats in brief: 89-20-00062020013
    Description:

    This video is intended for learners who wish to get a basic understanding of data stewardship. No previous knowledge is required.

    By the end of this video, you will be able to answer the following questions: What is data stewardship? What is the difference between data governance and data stewardship? Why is data stewardship important? What are the main roles of data stewards? What are the expected outcomes of a data stewardship program?

    Release date: 2020-09-23

  • Stats in brief: 89-20-00062020014
    Description:

    This video addresses the data visualization competency. By the end of this video, you should have a deeper understanding of data visualization and how it can be used to present data in an interesting and aesthetically pleasing way. We will go over when it should be used, and we’ll give you some examples of the different types of data visualization techniques that exist.

    Release date: 2020-09-23

  • Articles and reports: 11-633-X2020002
    Description:

    The concepts of urban and rural are widely debated and vary depending on a country’s geopolitical and sociodemographic composition. In Canada, population centres and statistical area classifications are widely used to distinguish urban and rural communities. However, neither of these classifications precisely classify Canadian communities into urban, rural and remote areas. A group of researchers at Statistics Canada developed an alternative tool called the “remoteness index” to measure the relative remoteness of Canadian communities. This study builds on the remoteness index, which is a continuous index, by examining how it can be classified into five discrete categories of remoteness geographies. When properly categorized, the remoteness index can be a useful tool to distinguish urban, rural and remote communities in Canada, while protecting the privacy and confidentiality of citizens. This study considers five methodological approaches and recommends three methods.

    Release date: 2020-08-11

  • Articles and reports: 82-003-X202000700002
    Description:

    This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.

    Release date: 2020-07-29

  • Stats in brief: 11-627-M2020051
    Description:

    This infographic provides an overview of national statistical standards, explaining what they are and where they are used, the advantages of using them, and the role they play in the collection and dissemination of disaggregated data.

    Release date: 2020-07-24

  • Articles and reports: 62F0014M2020011
    Description:

    A summary of methodological treatments as applied to the June 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closure.

    Release date: 2020-07-22

  • Articles and reports: 82-003-X202000300001
    Description:

    This study describes the characteristics of residential postal codes of the Canadian population using the 2016 Census and determines how frequently these postal codes are matched to one or more dissemination areas, a unit of census geography.

    Release date: 2020-06-17

  • Articles and reports: 62F0014M2020009
    Description:

    A summary of methodological treatments as applied to the May 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closures.

    Release date: 2020-06-17

  • 19-23-0005
    Description:

    The service aims to provide clients with various advice and customise training on statistical methodology.

    Release date: 2020-06-12

  • Articles and reports: 62F0014M2020008
    Description:

    This document describes the methodology and data source for the provincial monthly average retail prices table. This supplement also explains the difference between the Consumer Price Index and average retail prices in context of inflation.

    Release date: 2020-06-10
Data (1)

Data (1) ((1 result))

  • Table: 82-567-X
    Description:

    The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.

    This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.

    Release date: 1998-07-29
Analysis (105)

Analysis (105) (0 to 10 of 105 results)

  • Stats in brief: 89-20-00062024001
    Description: This short video explains how it can be very effective for all levels of governments and organizations that serve communities to use disaggregated data to make evidence-informed public policy decisions. By using disaggregated data, policymakers are able to design more appropriate and effective policies that meet the needs of each diverse and unique Canadian.
    Release date: 2024-07-16

  • Stats in brief: 89-20-00062024002
    Description: This short video explains how the use of disaggregated data can help policymakers to develop more targeted and effective policies by identifying the unique needs and challenges faced by different demographic groups.
    Release date: 2024-07-16

  • Articles and reports: 11-522-X202200100017
    Description: In this paper, we look for presence of heterogeneity in conducting impact evaluations of the Skills Development intervention delivered under the Labour Market Development Agreements. We use linked longitudinal administrative data covering a sample of Skills Development participants from 2010 to 2017. We apply a causal machine-learning estimator as in Lechner (2019) to estimate the individualized program impacts at the finest aggregation level. These granular impacts reveal the distribution of net impacts facilitating further investigation as to what works for whom. The findings suggest statistically significant improvements in labour market outcomes for participants overall and for subgroups of policy interest.
    Release date: 2024-06-28

  • Journals and periodicals: 11-522-X
    Description: Since 1984, an annual international symposium on methodological issues has been sponsored by Statistics Canada. Proceedings have been available since 1987.
    Release date: 2024-06-28

  • Journals and periodicals: 12-001-X
    Geography: Canada
    Description: The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.
    Release date: 2024-06-25

  • Articles and reports: 11-522-X202200100002
    Description: The authors used the Splink probabilistic linkage package developed by the UK Ministry of Justice, to link census data from England and Wales to itself to find duplicate census responses. A large gold standard of confirmed census duplicates was available meaning that the results of the Splink implementation could be quality assured. This paper describes the implementation and features of Splink, gives details of the settings and parameters that we used to tune Splink for our particular project, and gives the results that we obtained.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100020
    Description: The reconciliation of 2021 census dwellings with the new Statistical Building Register (SBgR) presented linkage challenges. The Census of Population collected information from various dwelling types. For a large proportion of the population, mailing addresses were at the centre: they were used for reaching out to people and collected as contact info. In parallel, the register environment has been evolving. The agency is transitioning from the Address Register (AR) to the SBgR holding both mailing and location addresses, while also covering non-residential buildings. The reconciliation was conducted using a combination of systems, notably the new Register Matching Engine (RME) for difficult cases. The RME holds an interesting range of sophisticated string comparators. A deterministic linkage approach was used, while incorporating some data knowledge like the entropy. Through metadata, the matching expert could also reduce the amounts of false positives and false negatives.
    Release date: 2024-03-25

  • Articles and reports: 82-003-X202301200002
    Description: The validity of survival estimates from cancer registry data depends, in part, on the identification of the deaths of deceased cancer patients. People whose deaths are missed seemingly live on forever and are informally referred to as “immortals”, and their presence in registry data can result in inflated survival estimates. This study assesses the issue of immortals in the Canadian Cancer Registry (CCR) using a recently proposed method that compares the survival of long-term survivors of cancers for which “statistical” cure has been reported with that of similar people from the general population.
    Release date: 2023-12-20

  • Journals and periodicals: 12-206-X
    Description: This report summarizes the annual achievements of the Methodology Research and Development Program (MRDP) sponsored by the Modern Statistical Methods and Data Science Branch at Statistics Canada. This program covers research and development activities in statistical methods with potentially broad application in the agency’s statistical programs; these activities would otherwise be less likely to be carried out during the provision of regular methodology services to those programs. The MRDP also includes activities that provide support in the application of past successful developments in order to promote the use of the results of research and development work. Selected prospective research activities are also presented.
    Release date: 2023-10-11

  • Articles and reports: 75F0002M2022003
    Description: This discussion paper describes the proposed methodology for a Northern Market Basket Measure (MBM-N) for Nunavut, as well as identifies research which could be conducted in preparation for the 2023 review. The paper presents initial MBM-N thresholds and provides preliminary poverty estimates for reference years 2018 to 2021. A review period will follow the release of this paper, during which time Statistics Canada and Employment and Social Development Canada will welcome feedback from interested parties and work with experts, stakeholders, indigenous organizations, federal, provincial and territorial officials to validate the results.
    Release date: 2023-06-21
Reference (55)

Reference (55) (40 to 50 of 55 results)

  • Surveys and statistical programs – Documentation: 62F0026M2005004
    Description:

    The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

    This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.

    Release date: 2005-07-08

  • Surveys and statistical programs – Documentation: 62F0026M2004003
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households.

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).

    Release date: 2004-12-13

  • Surveys and statistical programs – Documentation: 92-390-X
    Description:

    This report includes a definition of the 2001 place of work concept and the place of work geography, standard text on data collection and coverage (including data collection methods, special coverage studies, sampling and weighting, edit and follow-up, coverage and content considerations). Both standard and subject-matter specific text pieces are also included for data assimilation (automated as well as interactive coding), edit and imputation and data evaluation. Finally, this technical report includes a section on historical comparability.

    Release date: 2004-08-26

  • Surveys and statistical programs – Documentation: 92-383-X
    Description:

    This report discusses various aspects of the quality of data on mother tongue, language spoken at home, knowledge of language and language at work. In the 2001 Census questionnaire, there are five questions on these four language categories. These questions, complemented by questions on ethnicity, religious affiliation and immigration, provide an opportunity to study linguistic and cultural characteristics of Canadians. These questions on languages are designed to collect the demolinguistic data. Demolinguistics, a subdiscipline of demography (not of linguistics), involves the demographic analysis of data on languages. Such analysis is useful for our understanding of, for instance, the linguistic diversity of Canadians, the evolution of language groups, or the transmission of mother tongue between generations. For each of the four categories of language questions mentioned above, the report describes briefly the procedures of data collection, some aspects of coverage, the processing stages of the data verification operation and the procedures used for editing and imputing the language variables. Finally, a description on how the data were evaluated will be presented.

    Release date: 2004-01-27

  • Surveys and statistical programs – Documentation: 92-384-X
    Description:

    This report provides information on various aspects of the data on mobility and migration. It provides a review of the questions, concepts and definitions, along with a discussion of limitations inherent in the measurement of one-year and five-year mobility and migration in the censuses of Canada. Some background is provided on the processing of mobility data, from collection through to retrieval. The historical comparability of mobility and migration data from 1961 to 2001 is examined in terms of conceptual and processing changes. The analysis of the quality of 2001 data focuses mainly on the quality at the national and provincial level. Where possible, the five-year data and the one-year data are discussed separately.

    Release date: 2004-01-27

  • Surveys and statistical programs – Documentation: 62F0026M2003002
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending. Conducted in January, February and March after the reference year, data are collected via personal interview using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).

    Release date: 2003-12-17

  • Surveys and statistical programs – Documentation: 92-380-X
    Description:

    This report focuses on five demographic variables: date of birth, age, sex, marital status and common-law status. The report describes how the data were collected, verified, processed, edited and imputed. The final section covers how the data were evaluated.

    Release date: 2003-10-28

  • Surveys and statistical programs – Documentation: 62F0026M2002002
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via paper questionnaires and personal interviews conducted in January, February and March after the reference year. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces and the 3 territories. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).

    Release date: 2002-12-11

  • Surveys and statistical programs – Documentation: 62F0026M2001004
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

    Release date: 2001-12-12

  • Surveys and statistical programs – Documentation: 62F0026M2001003
    Description:

    This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.

    Release date: 2001-10-15
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