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All (24,410)

All (24,410) (30 to 40 of 24,410 results)

  • 31. Monthly retail trade e-commerce sales
    Table: 20-10-0056-03
    Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description:

    Retail Trade, e-commerce sales, Canada, by industries based on North American Industry Classification System (NAICS), monthly.

    Release date: 2024-07-19
  • 32. Monthly retail trade sales of motor vehicle and parts dealers, by industry
    Table: 20-10-0056-04
    Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description:

    Retail trade sales figures for the motor vehicle and parts dealers industry. Data are available on a monthly basis for Canada and provinces, in dollars x 1,000.

    Release date: 2024-07-19
  • 33. Monthly retail sales, price, and volume, seasonally adjusted
    Table: 20-10-0067-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Retail trade sales, price, and volume, for Canada, includes all members under North American Industry Classification System. Data is seasonally adjusted, available on a monthly basis in dollars x 1,000,000.

    Release date: 2024-07-19
  • 34. Monthly retail sales of motor vehicle and parts dealers at 2017 constant prices, seasonally adjusted
    Table: 20-10-0067-02
    Geography: Canada
    Frequency: Monthly
    Description: Retail trade sales, price, and volume for motor vehicle and parts dealers. Data are seasonally adjusted, available on a monthly basis for Canada, in dollars x 1,000,000.
    Release date: 2024-07-19
  • 35. Crude oil and petroleum products inventories, held by domestic transporters, by product type, monthly
    Table: 25-10-0075-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Crude oil and petroleum products opening and closing inventories, by mode of transport including pipelines, marine vessels and associated terminals, by product type, monthly, not seasonally adjusted.
    Release date: 2024-07-19
  • 36. Crude oil and petroleum products movements, by mode of transport and by product type, monthly
    Table: 25-10-0077-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Crude oil and petroleum products movements, by mode of transport including pipelines, marine vessels and associated terminals, by product type, moved from shipping region to receiving region, monthly, not seasonally adjusted.
    Release date: 2024-07-19
  • 37. Real-time Local Business Conditions Index
    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: 2024-07-19
  • 38. Fisher commodity price index, United States dollar terms, Bank of Canada, monthly
    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: 2024-07-19
  • 39. Selected United States dollar interest rates, Wednesdays, Bank of Canada
    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: 2024-07-19
  • 40. Fisher commodity price index, United States dollar terms, Bank of Canada, Fisher commodity price index, United States dollar terms, Bank of Canada, weekly
    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: 2024-07-19
Data (12,040)

Data (12,040) (30 to 40 of 12,040 results)

  • 31. Monthly retail sales of motor vehicle and parts dealers at 2017 constant prices, seasonally adjusted
    Table: 20-10-0067-02
    Geography: Canada
    Frequency: Monthly
    Description: Retail trade sales, price, and volume for motor vehicle and parts dealers. Data are seasonally adjusted, available on a monthly basis for Canada, in dollars x 1,000,000.
    Release date: 2024-07-19
  • 32. Crude oil and petroleum products inventories, held by domestic transporters, by product type, monthly
    Table: 25-10-0075-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Crude oil and petroleum products opening and closing inventories, by mode of transport including pipelines, marine vessels and associated terminals, by product type, monthly, not seasonally adjusted.
    Release date: 2024-07-19
  • 33. Crude oil and petroleum products movements, by mode of transport and by product type, monthly
    Table: 25-10-0077-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Crude oil and petroleum products movements, by mode of transport including pipelines, marine vessels and associated terminals, by product type, moved from shipping region to receiving region, monthly, not seasonally adjusted.
    Release date: 2024-07-19
  • 34. Real-time Local Business Conditions Index
    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: 2024-07-19
  • 35. Fisher commodity price index, United States dollar terms, Bank of Canada, monthly
    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: 2024-07-19
  • 36. Selected United States dollar interest rates, Wednesdays, Bank of Canada
    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: 2024-07-19
  • 37. Fisher commodity price index, United States dollar terms, Bank of Canada, Fisher commodity price index, United States dollar terms, Bank of Canada, weekly
    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: 2024-07-19
  • 38. Financial market statistics, as at Wednesday, Bank of Canada
    Table: 10-10-0145-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 38 series, with data starting from 1957 (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 (38 items: Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate; Forward premium or discount (-), United States dollars in Canada: 1 month; ...).
    Release date: 2024-07-19
  • 39. Real-time Local Business Condition Index (RTLBCI)
    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: 2024-07-19
  • 40. Credit liabilities of households
    Table: 36-10-0639-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly credit aggregates for the household sector, by category.

    Release date: 2024-07-19
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. 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
  • 69. 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
  • 70. Survey Methodology
    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: 2024-06-25
Reference (1,892)

Reference (1,892) (1,890 to 1,900 of 1,892 results)

  • 1,891. Longitudinal Employment Analysis Program
    Surveys and statistical programs – Documentation: 8013
    Description: The Longitudinal Employment Analysis Program (LEAP) is a database that contains annual employment information for each employer business in Canada, starting with the 1983 reference year.
  • 1,892. Respondent Selection Study for the General Social Survey
    Surveys and statistical programs – Documentation: 8014
    Description: This study will be used to determine which method would be the most effective to select households in Canada for any given survey that is conducted by Statistics Canada.
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