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  • 41. Area, production and farm value of potatoes
    Table: 32-10-0358-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Seeded and harvested areas, production, amount sold (consumed or fed to livestock) and total farm value of potatoes.
    Release date: 2024-07-18
  • 42. Non-bank mortgages outstanding, by lender type, insurance status and mortgage characteristics
    Table: 33-10-0530-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly non-bank outstanding residential mortgages by insurance status, amortization period, total debt service ratio, loan-to-value and, days in arrears, by lender type and number of mortgages, displayed in thousands of dollars, unless otherwise specified.

    Release date: 2024-07-18
  • 43. Non-bank mortgages extended, by lender type, insurance status and mortgage characteristics
    Table: 33-10-0531-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly non-bank residential mortgages extended by type of increase and, (please remove the red comma after the word “and”) new funds advanced by term to maturity, by insurance status, by lender type and number of mortgages, displayed in thousands of dollars, unless otherwise specified.

    Release date: 2024-07-18
  • 44. Statistics Canada - Infographics
    Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2024-07-18
  • 45. Canada's official international reserves, millions of United States dollars, Bank of Canada, daily
    Table: 10-10-0141-01
    Geography: Canada
    Frequency: Daily
    Description: This table contains 6 series, with data starting from 1999 (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 reserve (6 items: Total, Canada's official international reserves; Convertible foreign currencies, United States dollars;Convertible foreign currencies, other than United States; Gold; ...).
    Release date: 2024-07-18
  • 46. Financial market statistics, as at Tuesday, Bank of Canada
    Table: 10-10-0144-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 8 series, with data starting from 1992 (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), Rates (8 items: Bank rate; Treasury bill auction - average yields: 3 month; Treasury bill auction - average yields: 6 month; Treasury bill auction - average yields: 1 year; ...).
    Release date: 2024-07-18
  • 47. Investment in building construction
    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: 2024-07-18
  • 48. Employment insurance disqualifications and disentitlements, monthly, unadjusted for seasonality
    Table: 14-10-0004-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employment insurance benefit disqualifications and disentitlements by reason, last 5 months.
    Release date: 2024-07-18
  • 49. Employment insurance claims received by province and territory, monthly, seasonally adjusted
    Table: 14-10-0005-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employment insurance claims received by province and territory, last 5 months.
    Release date: 2024-07-18
  • 50. Employment insurance claims received and allowed by province and territory, monthly, unadjusted for seasonality
    Table: 14-10-0005-02
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employment insurance claims received and allowed, by province and territory and type of claim, last 5 months.
    Release date: 2024-07-18
Data (12,040)

Data (12,040) (50 to 60 of 12,040 results)

Analysis (10,003)

Analysis (10,003) (60 to 70 of 10,003 results)

  • 61. Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples
    Articles and reports: 12-001-X202400100008
    Description: Nonprobability samples emerge rapidly to address time-sensitive priority topics in different areas. These data are timely but subject to selection bias. To reduce selection bias, there has been wide literature in survey research investigating the use of propensity-score (PS) adjustment methods to improve the population representativeness of nonprobability samples, using probability-based survey samples as external references. Conditional exchangeability (CE) assumption is one of the key assumptions required by PS-based adjustment methods. In this paper, I first explore the validity of the CE assumption conditional on various balancing score estimates that are used in existing PS-based adjustment methods. An adaptive balancing score is proposed for unbiased estimation of population means. The population mean estimators under the three CE assumptions are evaluated via Monte Carlo simulation studies and illustrated using the NIH SARS-CoV-2 seroprevalence study to estimate the proportion of U.S. adults with COVID-19 antibodies from April 01-August 04, 2020.
    Release date: 2024-06-25
  • 62. Authors’ response to comments on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100009
    Description: Our comments respond to discussion from Sen, Brick, and Elliott. We weigh the potential upside and downside of Sen’s suggestion of using machine learning to identify bogus respondents through interactions and improbable combinations of variables. We join Brick in reflecting on bogus respondents’ impact on the state of commercial nonprobability surveys. Finally, we consider Elliott’s discussion of solutions to the challenge raised in our study.
    Release date: 2024-06-25
  • 63. Comments by Aditi Sen on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100010
    Description: This discussion summarizes the interesting new findings around measurement errors in opt-in surveys by Kennedy, Mercer and Lau (KML). While KML enlighten readers about “bogus responding” and possible patterns in them, this discussion suggests combining these new-found results with other avenues of research in nonprobability sampling, such as improvement of representativeness.
    Release date: 2024-06-25
  • 64. Comments by Michael R. Elliott on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100011
    Description: Kennedy, Mercer, and Lau explore misreporting by respondents in non-probability samples and discover a new feature, namely that of deliberate misreporting of demographic characteristics. This finding suggests that the “arms race” between researchers and those determined to disrupt the practice of social science is not over and researchers need to account for such respondents if using high-quality probability surveys to help reduce error in non-probability samples.
    Release date: 2024-06-25
  • 65. Comments by J. Michael Brick on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100012
    Description: Nonprobability samples are quick and low-cost and have become popular for some types of survey research. Kennedy, Mercer and Lau examine data quality issues associated with opt-in nonprobability samples frequently used in the United States. They show that the estimates from these samples have serious problems that go beyond representativeness. A total survey error perspective is important for evaluating all types of surveys.
    Release date: 2024-06-25
  • 66. Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith
    Articles and reports: 12-001-X202400100013
    Description: Statistical approaches developed for nonprobability samples generally focus on nonrandom selection as the primary reason survey respondents might differ systematically from the target population. Well-established theory states that in these instances, by conditioning on the necessary auxiliary variables, selection can be rendered ignorable and survey estimates will be free of bias. But this logic rests on the assumption that measurement error is nonexistent or small. In this study we test this assumption in two ways. First, we use a large benchmarking study to identify subgroups for which errors in commercial, online nonprobability samples are especially large in ways that are unlikely due to selection effects. Then we present a follow-up study examining one cause of the large errors: bogus responding (i.e., survey answers that are fraudulent, mischievous or otherwise insincere). We find that bogus responding, particularly among respondents identifying as young or Hispanic, is a significant and widespread problem in commercial, online nonprobability samples, at least in the United States. This research highlights the need for statisticians working with commercial nonprobability samples to address bogus responding and issues of representativeness – not just the latter.
    Release date: 2024-06-25
  • 67. Preface to the special issue for papers presented at the 29th Morris Hansen Lecture on the use of nonprobability samples
    Articles and reports: 12-001-X202400100014
    Description: This paper is an introduction to the special issue on the use of nonprobability samples featuring three papers that were presented at the 29th Morris Hansen Lecture by Courtney Kennedy, Yan Li and Jean-François Beaumont.
    Release date: 2024-06-25
  • 68. Gender diversity of Canadian postsecondary students, 2021/2022
    Stats in brief: 11-627-M2024026
    Description: Using data from the Postsecondary Student Information System (PSIS) and the Census of Population, 2021, this infographic provides information on enrolment in Canadian public postsecondary institutions for transgender and non-binary people.
    Release date: 2024-06-25
  • 69. Monthly Survey of Manufacturing: Flash estimate May 2024
    Stats in brief: 11-001-X202417724744
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-25
  • 70. Population Projections for Canada, Provinces and Territories
    Table: 91-520-X
    Description: This report presents the results of the population projections by age group and sex for Canada, the provinces and territories. These projections are based on assumptions that take into account the most recent trends relating to components of population growth, particularly fertility, mortality, immigration, emigration and interprovincial migration.

    The detailed data tables are available in CODR: tables 1710005701 and 1710005801.

    Release date: 2024-06-24
Reference (1,892)

Reference (1,892) (20 to 30 of 1,892 results)

  • 21. Health Regions: Boundaries and Correspondence with Census Geography
    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
  • 22. Study on the Underclassification of Children Eligible for Instruction in the Minority Official Language in the 2021 Census
    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
  • 23. Reference guide on the social inclusion indicators for ethnocultural groups in Canada, 2024
    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
  • 24. Indigenous Peoples Technical Report, Census of Population
    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
  • 25. Technical Reference Guide for the Preliminary Estimates from the T1 Family File (T1FF)
    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
  • 26. Census of Agriculture: Data quality report
    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
  • 27. Guide to Canadian International Merchandise Trade Statistics
    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
  • 28. User Guide and Data Dictionary for Preliminary COVID-19 Data
    Surveys and statistical programs – Documentation: 13-26-0002
    Description:

    Created in collaboration with the Public Health Agency of Canada (PHAC), this user guide with appended data dictionary provides Canadians and researchers with required information to be able to utilize the Detailed preliminary information on confirmed cases of COVID-19 (Revised) table.

    The user guide with appended data dictionary describes background information of COVID-19 as well as objectives, coverage, content, limitations and data quality concerns of the table.

    Release date: 2024-01-12
  • 29. The Guide to the Post Index
    Surveys and statistical programs – Documentation: 62F0072G
    Description: The primary source of data used in post index construction are periodic retail-price and cost-of-living surveys conducted at foreign locations by the foreign service personnel stationed there. Statistics Canada analyses this survey data. In addition to a variety of price information gathered from retail outlets patronized by Canadian personnel at the post, data are also obtained regarding their spending patterns, along with information on the availability of any special local purchasing facilities, and the extent to which staff make direct importation of consumer goods from other countries. The general aim is for full-scale surveys to be carried out at about three-year intervals. However, specific studies may be undertaken more or less frequently than this, depending on the volatility of retail price conditions in each particular country, the instability of exchange rates and the extent to which close monitoring of changes in the local retail price situation being faced by Canadian personnel can be achieved through reference to other statistical indicators.
    Release date: 2023-12-22
  • 30. Persistence and graduation indicators of postsecondary students, 2011/2012 to 2021/2022
    Surveys and statistical programs – Documentation: 37-20-00012023006
    Description: This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are based on the longitudinal Postsecondary Student Information System (PSIS) administrative data files. Statistics Canada has derived a series of annual indicators of public postsecondary students including persistence rates, graduation rates, and average time to graduation by educational qualification, field of study, age group and gender for Canada, the provinces, and the three combined Territories.
    Release date: 2023-12-19
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