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All (24,214)

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

  • Data Visualization: 71-607-X2021017
    Description: The need for alternative data sources is of growing importance for both supplementing Statistics Canada's data holdings and for nowcasting economic activity. In response to this need, Statistics Canada initiated the development of a Real-time Local Business Conditions Index (RT-LBCI). The index brings together data from a few different sources, including Google's Places API (containing data on temporary and permanent businesses closures), TomTom Real-time traffic API (road traffic data), as well as information from Statistics Canada data holdings (monthly retail and wholesale, Business Register, etc.). The project aims to compute a near real-time index of economic activity in Canadian major cities.
    Release date: 2024-04-19

  • Stats in brief: 11-001-X202411019277
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-04-19

  • Table: 71-607-X
    Description: Statistics Canada produces a variety of interactive visualization tools that present data in a graphical form. These tools provide a useful way of interpreting trends behind our data on various social and economic topics.
    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

  • Table: 10-10-0138-01
    Frequency: Weekly
    Description: This table contains 12 series, with data starting from 1954 (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: United States); Rates (12 items: Federal Reserve Bank of New York - discount rate; Prime rate charged by banks; Federal funds rate;Commercial paper, adjusted: 1 month; ...).
    Release date: 2024-04-19

  • Table: 10-10-0139-01
    Geography: Canada
    Frequency: Daily
    Description: This table contains 39 series, with data for starting from 1991 (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); Financial market statistics (39 items: Government of Canada Treasury Bills, 1-month (composite rates); Government of Canada Treasury Bills, 2-month (composite rates); Government of Canada Treasury Bills, 3-month (composite rates);Government of Canada Treasury Bills, 6-month (composite rates); ...).
    Release date: 2024-04-19

  • Table: 10-10-0143-01
    Geography: Canada
    Frequency: Weekly
    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 item: Canada), Commodity (7 items: Total, all commodities; Total excluding energy; Energy; Metals and Minerals; ...).
    Release date: 2024-04-19
Data (11,955)

Data (11,955) (40 to 50 of 11,955 results)

  • Table: 32-10-0218-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description:

    This table provides the number of temporary foreign workers, the number of jobs filled by temporary foreign workers and the number of operations with at least one temporary foreign worker in the agriculture et agri-food sectors, by industry in Canada and in the provinces.

    Release date: 2024-04-18

  • Table: 32-10-0220-01
    Geography: Canada
    Frequency: Annual
    Description:

    This table provides the number of temporary foreign workers, the number of jobs filled by temporary foreign workers and the number of operations with at least one temporary foreign worker in the agriculture sector, by category of farm revenue in Canada. A breakdown by the following farm revenue categories is available: Less than $100,000, $100,000 to $249,999, $250,000 to $499,999, $500,000 to $999,999, $1,000,000 to $1,999,999 and $2,000,000 and over.

    Release date: 2024-04-18

  • Table: 32-10-0221-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description:

    This table provides the number of temporary foreign workers in Canada and in provinces by their country of citizenship.

    Release date: 2024-04-18

  • Table: 36-10-0639-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly credit aggregates for the household sector, by category.

    Release date: 2024-04-18

  • Table: 36-10-0640-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly credit aggregates for the private non-financial corporations sector, by category.

    Release date: 2024-04-18

  • Table: 36-10-0641-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly credit aggregates for the assets of the financial corporation sector, by category.

    Release date: 2024-04-18

  • Table: 36-10-0666-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Selected credit estimates including loans and debt securities and other financial instruments by creditor (lender) and debtor (borrower) sectors, seasonally adjusted and non-seasonally adjusted.

    Release date: 2024-04-18

  • Table: 36-10-0670-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Transactions in securities of private non-financial corporations, including net transactions, gross issuances and gross redemptions for debt and equity securities.

    Release date: 2024-04-18

  • Data Visualization: 71-607-X2019031
    Description: This interactive tool details the median employment income earned by postsecondary graduates two and five years after obtaining their educational qualification.
    Release date: 2024-04-17

  • Data Visualization: 71-607-X2020006
    Description: This interactive tool allows for custom manipulation and visualization of wealth data sourced from the Distributions of Household Economic Accounts. By clicking within the tool, you will be able to filter, highlight and select various wealth and wealth indicator items by distribution category.

    This product  is released on a quarterly basis.

    Release date: 2024-04-17
Analysis (9,900)

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

  • Stats in brief: 11-627-M2024004
    Description: This infographic is a visual representation using some of the data from the 2023 Police Administration Survey. Findings reported on the infographic include results on key indicators such as police strength, number of police officers, number of calls for service and police personnel data.
    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) (60 to 70 of 1,886 results)

  • Surveys and statistical programs – Documentation: 98-500-X2016013
    Description:

    This guide focuses on the following topic: education. This reference guide provides information that enables users to effectively use, apply and interpret data from the 2016 Census. This guide contains definitions and explanations of concepts, classifications, data quality and comparability to other sources. Additional information is included for specific variables to help general users better understand the concepts and questions used in the census.

    Release date: 2022-11-30

  • Surveys and statistical programs – Documentation: 98-500-X2021003
    Description:

    This reference guide provides information to help users effectively use and interpret language 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: 2022-11-30

  • Surveys and statistical programs – Documentation: 98-500-X2021011
    Description: This reference guide provides information to help users effectively use and interpret commuting 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: 2022-11-30

  • Surveys and statistical programs – Documentation: 98-500-X2021012
    Description: This reference guide provides information to help users effectively use and interpret labour 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: 2022-11-30

  • Surveys and statistical programs – Documentation: 98-500-X2021017
    Description: This reference guide provides information to help users effectively use and interpret instruction in the minority official language 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: 2022-11-30

  • Surveys and statistical programs – Documentation: 98-20-00012022001
    Description:

    This fact sheet presents a data ecosystem comprised of a set of data sources that, together, provide information on children eligible for instruction in the minority official language.

    Release date: 2022-11-09

  • Surveys and statistical programs – Documentation: 98-20-0001
    Description:

    This is a series of fact sheets offering an overview of changes in content for the 2021 Census questionnaire. These include 19 fact sheets focusing on new and modified content and one fact sheet providing information about the design and methodology of the 2019 Census Content Test.

    Release date: 2022-11-09

  • Classification: 12-590-X
    Description:

    The Classification of Instructional Programs (CIP) is used for classifying instructional programs according to field of study. CIP was originally created by the National Center for Education Statistics (NCES) in the United States. It is a hierarchical classification. The classification provides a detailed description of each instructional program class together with illustrative examples of the types of instructional programs found in that class. Illustrative examples are also provided of closely related programs that are classified elsewhere. In addition, the classification includes an introduction to CIP and an alternative structure for the aggregation of field of study data. CIP has a ten-year revision cycle.

    Release date: 2022-11-08

  • Surveys and statistical programs – Documentation: 98-500-X2021006
    Description:

    This reference guide provides information to help users effectively use and interpret visible minority and population group 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: 2022-10-26

  • Surveys and statistical programs – Documentation: 98-500-X2021008
    Description:

    This reference guide provides information to help users effectively use and interpret ethnic or cultural origin 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: 2022-10-26
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