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All (24,214) (0 to 10 of 24,214 results)

  • Table: 33-10-0036-01
    Geography: Canada
    Frequency: Daily
    Description:

    This table contains 27 series, with data starting from 1981 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Type of currency (27 items: Australian dollar, daily average; Brazilian real, daily average; Chinese renminbi, daily average; European euro, daily average; ...).

    Release date: 2024-04-19

  • Table: 33-10-0398-01
    Geography: Population centre
    Frequency: Weekly
    Description:

    The RT-LBCI is released as an experimental statistic. It is intended to provide a real-time signal on business activities following the disruptions brought about by the pandemic and through the recovery phase.

    Release date: 2024-04-19

  • Table: 34-10-0286-01
    Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
    Frequency: Monthly
    Description: The investment in residential and non-residential building construction represents the spending value of building construction by households, enterprises and governments for buildings.
    Release date: 2024-04-19

  • Table: 23-10-0251-01
    Geography: Canada
    Frequency: Monthly
    Description: Canadian passenger bus and urban transit industries, total revenue and total passenger trips by the North American Industry Classification System (NAICS), selected provinces and regions, monthly.
    Release date: 2024-04-19

  • Table: 23-10-0307-01
    Geography: Canada
    Frequency: Monthly
    Description: Canadian passenger bus and urban transit industries, total revenue and total passenger trips by Urban transit agency, selected Canadian Urban transit agencies, monthly.
    Release date: 2024-04-19

  • Table: 32-10-0142-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Sheep statistics, quantity of raw wool purchased, used on farms, price and farm value, annual, Canada and provinces (kilograms unless otherwise noted). Data are available on an annual basis.
    Release date: 2024-04-19

  • Table: 10-10-0109-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 110 series, with data starting from 1946 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Assets and liabilities (110 items: Total assets; Total; Canadian dollar assets; Total of foregoing assets; Total; foreign currency assets ...).
    Release date: 2024-04-19

  • Table: 10-10-0112-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 75 series, with data starting from 1926 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Currency outside banks and chartered bank deposits (75 items: Total; currency and deposits; Currency outside banks; coin; Currency outside banks; notes; Currency outside banks ...).
    Release date: 2024-04-19

  • Table: 10-10-0116-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 66 series, with data starting from 1953 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Assets, liabilities and monetary aggregates (66 items: Chartered bank deposits; personal (excluding personal; chequable; demand); Currency outside banks and Canadian dollar chartered bank deposits; total; Currency outside banks and chartered bank deposits; held by general public; Chartered bank deposits; demand (excluding private sector float) ...).
    Release date: 2024-04-19

  • Table: 10-10-0132-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodity (7 items: Total; all commodities; Metals and Minerals; Energy; Total excluding energy ...).
    Release date: 2024-04-19
Data (11,955)

Data (11,955) (50 to 60 of 11,955 results)

Analysis (9,900)

Analysis (9,900) (60 to 70 of 9,900 results)

  • Stats in brief: 11-001-X20240867421
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-03-26

  • Journals and periodicals: 89-657-X
    Description: This thematic series groups different statistical products related to ethnicity, languages, and immigration. It features analytical documents of varying scopes, such as population profiles, reference materials, data products (including tables and factsheets), among other document types.
    Release date: 2024-03-26

  • Articles and reports: 11-522-X202200100001
    Description: Record linkage aims at identifying record pairs related to the same unit and observed in two different data sets, say A and B. Fellegi and Sunter (1969) suggest each record pair is tested whether generated from the set of matched or unmatched pairs. The decision function consists of the ratio between m(y) and u(y),probabilities of observing a comparison y of a set of k>3 key identifying variables in a record pair under the assumptions that the pair is a match or a non-match, respectively. These parameters are usually estimated by means of the EM algorithm using as data the comparisons on all the pairs of the Cartesian product ?=A×B. These observations (on the comparisons and on the pairs status as match or non-match) are assumed as generated independently of other pairs, assumption characterizing most of the literature on record linkage and implemented in software tools (e.g. RELAIS, Cibella et al. 2012). On the contrary, comparisons y and matching status in ? are deterministically dependent. As a result, estimates on m(y) and u(y) based on the EM algorithm are usually bad. This fact jeopardizes the effective application of the Fellegi-Sunter method, as well as automatic computation of quality measures and possibility to apply efficient methods for model estimation on linked data (e.g. regression functions), as in Chambers et al. (2015). We propose to explore ? by a set of samples, each one drawn so to preserve independence of comparisons among the selected record pairs. Simulations are encouraging.
    Release date: 2024-03-25

  • 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-X202200100003
    Description: Estimation at fine levels of aggregation is necessary to better describe society. Small area estimation model-based approaches that combine sparse survey data with rich data from auxiliary sources have been proven useful to improve the reliability of estimates for small domains. Considered here is a scenario where small area model-based estimates, produced at a given aggregation level, needed to be disaggregated to better describe the social structure at finer levels. For this scenario, an allocation method was developed to implement the disaggregation, overcoming challenges associated with data availability and model development at such fine levels. The method is applied to adult literacy and numeracy estimation at the county-by-group-level, using data from the U.S. Program for the International Assessment of Adult Competencies. In this application the groups are defined in terms of age or education, but the method could be applied to estimation of other equity-deserving groups.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100004
    Description: In accordance with Statistics Canada’s long-term Disaggregated Data Action Plan (DDAP), several initiatives have been implemented into the Labour Force Survey (LFS). One of the more direct initiatives was a targeted increase in the size of the monthly LFS sample. Furthermore, a regular Supplement program was introduced, where an additional series of questions are asked to a subset of LFS respondents and analyzed in a monthly or quarterly production cycle. Finally, the production of modelled estimates based on Small Area Estimation (SAE) methodologies resumed for the LFS and will include a wider scope with more analytical value than what had existed in the past. This paper will give an overview of these three initiatives.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100005
    Description: Sampling variance smoothing is an important topic in small area estimation. In this paper, we propose sampling variance smoothing methods for small area proportion estimation. In particular, we consider the generalized variance function and design effect methods for sampling variance smoothing. We evaluate and compare the smoothed sampling variances and small area estimates based on the smoothed variance estimates through analysis of survey data from Statistics Canada. The results from real data analysis indicate that the proposed sampling variance smoothing methods work very well for small area estimation.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100006
    Description: The Australian Bureau of Statistics (ABS) is committed to improving access to more microdata, while ensuring privacy and confidentiality is maintained, through its virtual DataLab which supports researchers to undertake complex research more efficiently. Currently, the DataLab research outputs need to follow strict rules to minimise disclosure risks for clearance. However, the clerical-review process is not cost effective and has potential to introduce errors. The increasing number of statistical outputs from different projects can potentially introduce differencing risks even though these outputs from different projects have met the strict output rules. The ABS has been exploring the possibility of providing automatic output checking using the ABS cellkey methodology to ensure that all outputs across different projects are protected consistently to minimise differencing risks and reduce costs associated with output checking.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100007
    Description: With the availability of larger and more diverse data sources, Statistical Institutes in Europe are inclined to publish statistics on smaller groups than they used to do. Moreover, high impact global events like the Covid crisis and the situation in Ukraine may also ask for statistics on specific subgroups of the population. Publishing on small, targeted groups not only raises questions on statistical quality of the figures, it also raises issues concerning statistical disclosure risk. The principle of statistical disclosure control does not depend on the size of the groups the statistics are based on. However, the risk of disclosure does depend on the group size: the smaller a group, the higher the risk. Traditional ways to deal with statistical disclosure control and small group sizes include suppressing information and coarsening categories. These methods essentially increase the (mean) group sizes. More recent approaches include perturbative methods that have the intention to keep the group sizes small in order to preserve as much information as possible while reducing the disclosure risk sufficiently. In this paper we will mention some European examples of special focus group statistics and discuss the implications on statistical disclosure control. Additionally, we will discuss some issues that the use of perturbative methods brings along: its impact on disclosure risk and utility as well as the challenges in proper communication thereof.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100008
    Description: The publication of more disaggregated data can increase transparency and provide important information on underrepresented groups. Developing more readily available access options increases the amount of information available to and produced by researchers. Increasing the breadth and depth of the information released allows for a better representation of the Canadian population, but also puts a greater responsibility on Statistics Canada to do this in a way that preserves confidentiality, and thus it is helpful to develop tools which allow Statistics Canada to quantify the risk from the additional data granularity. In an effort to evaluate the risk of a database reconstruction attack on Statistics Canada’s published Census data, this investigation follows the strategy of the US Census Bureau, who outlined a method to use a Boolean satisfiability (SAT) solver to reconstruct individual attributes of residents of a hypothetical US Census block, based just on a table of summary statistics. The technique is expanded to attempt to reconstruct a small fraction of Statistics Canada’s Census microdata. This paper will discuss the findings of the investigation, the challenges involved in mounting a reconstruction attack, and the effect of an existing confidentiality measure in mitigating these attacks. Furthermore, the existing strategy is compared to other potential methods used to protect data – in particular, releasing tabular data perturbed by some random mechanism, such as those suggested by differential privacy.
    Release date: 2024-03-25
Reference (1,886)

Reference (1,886) (40 to 50 of 1,886 results)

  • Surveys and statistical programs – Documentation: 72-212-X
    Description: Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2023-07-12

  • Surveys and statistical programs – Documentation: 98-500-X2021007
    Description:

    This reference guide provides information to help users effectively use and interpret place of birth, generation status, citizenship and immigration data from the 2021 Census. This guide contains definitions and explanations of concepts, questions, classifications, data quality and comparability with other sources for this topic.

    Release date: 2023-06-21

  • Surveys and statistical programs – Documentation: 98-500-X
    Description:

    Provides information that enables users to effectively use, apply and interpret data from the Census of Population. Each guide contains definitions and explanations on census concepts as well as a data quality and historical comparability section. Additional information will be included for specific variables to help users better understand the concepts and questions used in the census.

    Release date: 2023-06-21

  • Surveys and statistical programs – Documentation: 75-514-G2023001
    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.
    Release date: 2023-05-25

  • 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

  • Geographic files and documentation: 23-26-0002
    Description: This document is part of the Grain Supply Chain Dashboard: Real-Time Grain Movement by Rail (GSCD) data visualization product. It accompanies the GSCD and presents the conceptual structure of the railway movement, the data and computation methods, and current limitations. The GSCD is released as an experimental data product.
    Release date: 2023-05-11

  • Surveys and statistical programs – Documentation: 98-503-X2021006
    Description: Updated in April 2023 to include newly released data from the 2021 Census, the 2021 Census Teacher's Kit is for use in elementary, intermediate and secondary classes across the country. It includes five fun, classroom-ready activities that will help students gain an understanding of what the census is used for, how it is conducted, and the role it has played in shaping present-day Canada.
    Release date: 2023-04-11

  • Surveys and statistical programs – Documentation: 98-503-X
    Description: The Census Teacher’s Kit has been developed for use in elementary, intermediate and secondary classes across the country. All activities are classroom-ready and have been reviewed to meet curriculum requirements.
    Release date: 2023-04-11

  • Surveys and statistical programs – Documentation: 89-657-X2023001
    Description: This document presents a complete list of the social inclusion indicators for ethnocultural groups in Canada that are available on the homepage of our Gender, Diversity and Inclusion Statistics Hub. The information provided for each indicator includes a short description of the corresponding derivation, available data sources and reference years, and accessible levels of geographical disaggregation. Each indicator has various corresponding products (data tables, visualization tools and analytical documents).
    Release date: 2023-03-29

  • Surveys and statistical programs – Documentation: 45-20-00042023002
    Description: Rural Canada Non-Profits (RCNP) is a database that provides estimates of Non-Profit Organization (NPO) counts, total revenue and total employment in Canada. This document presents the data sources, methods and classification concepts used in the production of the RCNP.
    Release date: 2023-03-03
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