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All (162) (0 to 10 of 162 results)

  • 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

  • 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: 2024-03-25

  • 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: 2024-01-03

  • 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

  • 19-22-0011
    Description: An introduction to the role geography plays in Statistics Canada data. Viewers will learn about the different geographic levels Statistics Canada uses and how they are related, as well as two products - GeoSuite and GeoSearch - that the public can use to find detailed information for any place in Canada. Two case studies will be shown to demonstrate applications of these two products.

    https://www.statcan.gc.ca/en/services/webinars/19220011 
    Release date: 2023-09-12

  • 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

  • Surveys and statistical programs – Documentation: 75-514-G
    Description: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.
    Release date: 2023-05-25

  • Articles and reports: 75F0002M2022004
    Description:

    This technical paper describes the results of the review period, including small adjustments to the disposable income amounts used in the discussion paper Construction of a Northern Market Basket Measure (MBM-N) of poverty for Yukon and the Northwest Territories. It also marks the end of the review period for the MBM-N for Yukon and the Northwest Territories by presenting the latest poverty estimates for reference year 2020.

    Release date: 2022-11-03
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 (102)

Analysis (102) (20 to 30 of 102 results)

  • Articles and reports: 11-522-X202100100003
    Description:

    The increasing size and richness of digital data allow for modeling more complex relationships and interactions, which is the strongpoint of machine learning. Here we applied gradient boosting to the Dutch system of social statistical datasets to estimate transition probabilities into and out of poverty. Individual estimates are reasonable, but the main advantages of the approach in combination with SHAP and global surrogate models are the simultaneous ranking of hundreds of features by their importance, detailed insight into their relationship with the transition probabilities, and the data-driven identification of subpopulations with relatively high and low transition probabilities. In addition, we decompose the difference in feature importance between general and subpopulation into a frequency and a feature effect. We caution for misinterpretation and discuss future directions.

    Key Words: Classification; Explainability; Gradient boosting; Life event; Risk factors; SHAP decomposition.

    Release date: 2021-10-15

  • Articles and reports: 11-522-X202100100019
    Description: Official statistical agencies must continually seek new methods and techniques that can increase both program efficiency and product relevance. The U.S. Census Bureau’s measurement of construction activity is currently a resource-intensive endeavor, relying heavily on monthly survey response via questionnaires and extensive field data collection. While our data users continually require more timely and granular data products, the traditional survey approach and associated collection cost and respondent burden limits our ability to meet that need. In 2019, we began research on whether the application of machine learning techniques to satellite imagery could accurately estimate housing starts and completions while meeting existing monthly indicator timelines at a cost equal to or less than existing methods. Using historical Census construction survey data in combination with targeted satellite imagery, the team trained, tested, and validated convolutional neural networks capable of classifying images by their stage of construction demonstrating the viability of a data science-based approach to producing official measures of construction activity.

    Key Words: Official Statistics; Housing Starts, Machine Learning, Satellite Imagery

    Release date: 2021-10-15

  • Stats in brief: 89-20-00062020002
    Description:

    This video is intended to teach viewers the differences between three fundamental statistical concepts. First, the mean, then the median and finally, the mode.

    Release date: 2021-05-03

  • Stats in brief: 89-20-00062020003
    Description:

    In this module, we will explore the concept of dispersion, also called variability. This concept includes: the range, the interquartile range, the standard deviation and the normal distribution.

    Release date: 2021-05-03

  • Stats in brief: 11-001-X202104628783
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-02-15

  • Articles and reports: 18-001-X2020001
    Description:

    This paper presents the methodology used to generate the first nationwide database of proximity measures and the results obtained with a first set of ten measures. The computational methods are presented as a generalizable model due to the fact that it is now possible to apply similar methods to a multitude of other services or amenities, in a variety of alternative specifications.

    Release date: 2021-02-15

  • Stats in brief: 11-627-M2020072
    Description:

    This infographic provides an overview of the Canadian Research and Development Classification (CRDC), a national standard jointly developed by the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC), and Statistics Canada.

    Release date: 2020-10-05

  • Stats in brief: 89-20-00062020006
    Description:

    The data terminology and concepts covered in this video are datasets, databases, data protection, data variables, micro and macro data, and statistical information.

    Release date: 2020-09-23

  • Stats in brief: 89-20-00062020007
    Description:

    In this video you will learn about the steps and activities in the data journey, as well as the foundation supporting it.

    Release date: 2020-09-23

  • 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
Reference (54)

Reference (54) (40 to 50 of 54 results)

  • 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

  • Notices and consultations: 87-004-X20000035566
    Geography: Canada
    Description:

    As with many other areas in Statistics Canada, the Culture Statistics Program (CSP) benefits from the informed advice of an external advisory committee. The National Advisory Committee on Culture Statistics (NACCS) was created in 1984 with a mandate to provide advice for the development of statistical activities related to all aspects of art and culture in Canada.

    Release date: 2001-03-16
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