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All (24,209)

All (24,209) (40 to 50 of 24,209 results)

Data (11,956)

Data (11,956) (0 to 10 of 11,956 results)

  • Data Visualization: 71-607-X2018016
    Description: This interactive dashboard provides access to current and historical Consumer Price Index (CPI) data in a dynamic and customizable format. Key indicators such as the 12-month and 1-month inflation rates and price trends are presented in interactive charts, allowing users to compare and analyze price changes of all the goods and services in the CPI basket over time as well as across geography (national, provincial and territorial levels).

    Other CPI indicators available in this tool include the Bank of Canada’s core measures of inflation, seasonally adjusted inflation rates, and CPI basket weights.

    This web-based application is updated monthly, as soon as the data for the latest reference month is released in The Daily.

    Release date: 2024-04-16

  • 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: 2024-04-16

  • Public use microdata: 56M0003X
    Description: The public use microdata file (PUMF) from the Canadian Internet Use Survey (CIUS) provides data on the adoption and use of digital technologies and the online behaviors of individuals 15 years of age and older living in the ten provinces of Canada.

    The files include information on how individuals use and access the Internet,  including their intensity of use, demand for certain online activities, and interactions through these technologies. Information is also collected on the use of online government services, digital skills, online work, and security, privacy and trust as it relates to the Internet. Content between iterations may vary.

    Release date: 2024-04-16

  • Table: 10-10-0111-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 16 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 ...), Foreign currency assets and liabilities (16 items: Foreign currency assets; securities; Foreign currency assets; call loans; Total; foreign currency assets; Foreign currency assets; other loans ...).
    Release date: 2024-04-16

  • 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: 2024-04-16

  • Table: 18-10-0001-01
    Geography: Canada, Census subdivision, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description:

    Monthly average retail prices for gasoline and fuel oil for Canada, selected provincial cities, Whitehorse and Yellowknife. Prices are presented for the current month and previous four months. Includes fuel type and the price in cents per litre.

    Release date: 2024-04-16

  • Table: 18-10-0004-01
    Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description:

    Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the current month and previous four months. The base year for the index is 2002=100.

    Release date: 2024-04-16

  • Table: 18-10-0004-02
    Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description:

    Monthly indexes and percentage changes for all components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100. 

    Release date: 2024-04-16

  • Table: 18-10-0004-03
    Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description: Monthly indexes and percentage changes for selected sub-groups of the food component of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse and Yellowknife. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.
    Release date: 2024-04-16

  • Table: 18-10-0004-04
    Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description: Monthly indexes and percentage changes for selected sub-groups of the shelter component of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse and Yellowknife. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.
    Release date: 2024-04-16
Analysis (9,895)

Analysis (9,895) (50 to 60 of 9,895 results)

  • 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

  • Articles and reports: 11-522-X202200100009
    Description: Education and training is acknowledged as fundamental for the development of a society. It is a complex multidimensional phenomenon, which determinants are ascribable to several interrelated familiar and socio-economic conditions. To respond to the demand of supporting statistical information for policymaking and its monitoring and evaluation process, the Italian National Statistical Institute (Istat) is renewing the education and training statistical production system, implementing a new thematic statistical register. It will be part of the Istat Integrated System of Registers, thus allowing relating the education and training phenomenon to other relevant phenomena, e.g. transition to work.
    Release date: 2024-03-25
Reference (1,885)

Reference (1,885) (0 to 10 of 1,885 results)

  • Surveys and statistical programs – Documentation: 72-203-G
    Description: The Guide to the Survey of Employment, Payrolls and Hours contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection and processing, and data quality. It also provides information on products and services, as well as the survey questionnaire.
    Release date: 2024-03-28

  • Surveys and statistical programs – Documentation: 81-582-G
    Description: This handbook complements the tables of the Pan-Canadian Education Indicators Program (PCEIP). It is a guide that provides general descriptions for each indicator and indicator component. PCEIP has five broad indicator sets: a portrait of the school-age population; financing education systems; elementary and secondary education; postsecondary education; and transitions and outcomes.

    The Pan-Canadian Education Indicators Program (PCEIP) is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada.

    Release date: 2024-03-28

  • Geographic files and documentation: 82-402-X
    Description: Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to latest Census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout).

    In addition to the geographic files, this product also includes Census data (basic profile) for health regions.

    Release date: 2024-03-27

  • Surveys and statistical programs – Documentation: 98-26-0008
    Description: This report presents the results of a study on the estimated number of children eligible for instruction in the minority official language, pursuant to section 23 of the Canadian Charter of Rights and Freedoms, who were classified as ineligible in the 2021 Census because relationships between family members living at different addresses could not be established within this data source. Using other data sources, including previous censuses and administrative data (such as vital statistics and tax data), we were able to establish these family relationships within the 2021 Census. This report presents the methods and data sources used first, then the results by selected regions and age groups.
    Release date: 2024-03-26

  • Surveys and statistical programs – Documentation: 89-657-X2024002
    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, reference years and accessible levels of geographical and disaggregation. Each indicator has a corresponding products number (data tables, visualization tools and analytical documents). This document has been updated to reflect the social inclusion indicators and associated products that are available in 2024.
    Release date: 2024-03-26

  • Surveys and statistical programs – Documentation: 98-307-X
    Description:

    This report deals with Indigenous identity, Indigenous ancestry, Indigenous group, Registered or Treaty Indian status, Membership in a First Nation or Indian band, Membership in a Métis organization or Settlement, and Enrollment under an Inuit land claims agreement, and contains explanations of concepts, data quality, historical comparability and comparability with other sources, as well as information on data collection, processing and dissemination.

    Release date: 2024-03-20

  • Surveys and statistical programs – Documentation: 11-26-0001
    Description: The data for the products associated with this technical reference guide are derived from an early version of the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA). Data on special topics linked to income and income tax deductions can be derived from the T1 income tax returns. Topics of interest for this preliminary release of the T1 data can vary from year to year.
    Release date: 2024-03-06

  • Notices and consultations: 13-605-X
    Description: This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.
    Release date: 2024-02-29

  • Surveys and statistical programs – Documentation: 32-26-0007
    Description: Census of Agriculture data provide statistical information on farms and farm operators at fine geographic levels and for small subpopulations. Quality evaluation activities are essential to ensure that census data are reliable and that they meet user needs.

    This report provides data quality information pertaining to the Census of Agriculture, such as sources of error, error detection, disclosure control methods, data quality indicators, response rates and collection rates.
    Release date: 2024-02-06

  • Surveys and statistical programs – Documentation: 13-605-X202400100001
    Description: This guide presents information to enhance an understanding of Canadian International Merchandise Trade statistics. It provides essential definitions, describes key concepts and methodology, and outlines data processes. An overview of the published data, including descriptions of product, industry, and geographical classifications, is provided along with links to the products where these data are available.
    Release date: 2024-01-22
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