Keyword search

View results

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Subject

Type

13 facets displayed. 0 facets selected.

Year of publication

49 facets displayed. 0 facets selected.

Geography

31 facets displayed. 0 facets selected.

Survey or statistical program

702 facets displayed. 0 facets selected.

Portal

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (24,389)

All (24,389) (0 to 10 of 24,389 results)

  • 1. Weekly aircraft movements June 15 to 21, 2024
    Stats in brief: 11-001-X202418523765
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-03
  • 2. Canadian international merchandise trade May 2024
    Stats in brief: 11-001-X20241853612
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-03
  • 3. International trade monthly interactive dashboard
    Data Visualization: 71-607-X2020013
    Description: The international trade monthly interactive dashboard is a comprehensive analytical tool that presents monthly changes in Canada's international merchandise trade data on a balance of payments basis. Four sections are available: 1) a page summarizing the monthly results; 2) a dashboard showing data by product; 3) a dashboard on Canada's principal trading partners; and 4) graphs that show change in price and volume indices on international trade.
    Release date: 2024-07-03
  • 4. Canadian International Merchandise Trade Web Application
    Data Visualization: 71-607-X2021004
    Description: The Canadian International Merchandise Trade (CIMT) Web Application offers the most detailed commodity trade data using the Harmonized System (HS) classification of goods (the 8-digit commodity level for exports and the 10-digit for imports). The CIMT Web Application also offers data at the international 6-digit commodity level. With the CIMT Web Application the user can visualize the latest information on customs based monthly trade through tables and charts as well as a time series report. For a selected period of time, one can also customize its selection and visualize trade, export or import, data for a specific trading partner, a specific province and a specific variable such as value, volume and a percentage change on a monthly or annual basis. The application has also the ability to retrieve the top 25 commodities traded between a selected by the user geography, Canada or a province, and trading partner, the World or a specific country, for the month of interest. When desired, the user can copy the data seen on the screen into their preferred data manipulation software.
    Release date: 2024-07-03
  • 5. Average Retail Food Prices Data Visualization Tool
    Data Visualization: 71-607-X2024005
    Description: This interactive dashboard provides access to current and historical average price data for selected food products in a dynamic and customizable format. The price data is available for Canada and the provinces. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

    This web-based application is updated monthly, as soon as the data for the latest reference month is released in The Daily.
    Release date: 2024-07-03
  • 6. Statistics Canada - Data Visualization Products
    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: 2024-07-03
  • 7. Government of Canada direct and guaranteed securities and loans, Bank of Canada
    Table: 10-10-0113-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 107 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 ...), Government of Canada direct securities and loans (107 items: Classification by type of issue; total outstanding; Total; direct securities outstanding; Treasury Bills; Guaranteed securities ...).
    Release date: 2024-07-03
  • 8. Bank of Canada, money market and other interest rates
    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: 2024-07-03
  • 9. Canada and United States bilateral trade in goods, customs and balance of payments-basis, by currency and direction of trade, quarterly
    Table: 12-10-0005-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Canada and United States bilateral trade in goods data produced by Statistics Canada and the United States Census Bureau (customs basis) and the United States Bureau of Economic Analysis (balance of payments basis). Data are presented before and after adjustments made to standardize definitions. Quarterly data are available on Customs and on Balance of payments basis and are not seasonally adjusted.

    Release date: 2024-07-03
  • 10. International merchandise trade for all countries and by Principal Trading Partners, monthly
    Table: 12-10-0011-01
    Geography: Canada
    Frequency: Monthly
    Description: International merchandise trade data grouped by Principal Trading Partners (PTP). Users have the option of selecting Imports, Exports, or Trade Balance. Data are unadjusted and seasonally adjusted, and are on a Customs and Balance of Payments basis.
    Release date: 2024-07-03
Data (12,031)

Data (12,031) (0 to 10 of 12,031 results)

  • 1. International trade monthly interactive dashboard
    Data Visualization: 71-607-X2020013
    Description: The international trade monthly interactive dashboard is a comprehensive analytical tool that presents monthly changes in Canada's international merchandise trade data on a balance of payments basis. Four sections are available: 1) a page summarizing the monthly results; 2) a dashboard showing data by product; 3) a dashboard on Canada's principal trading partners; and 4) graphs that show change in price and volume indices on international trade.
    Release date: 2024-07-03
  • 2. Canadian International Merchandise Trade Web Application
    Data Visualization: 71-607-X2021004
    Description: The Canadian International Merchandise Trade (CIMT) Web Application offers the most detailed commodity trade data using the Harmonized System (HS) classification of goods (the 8-digit commodity level for exports and the 10-digit for imports). The CIMT Web Application also offers data at the international 6-digit commodity level. With the CIMT Web Application the user can visualize the latest information on customs based monthly trade through tables and charts as well as a time series report. For a selected period of time, one can also customize its selection and visualize trade, export or import, data for a specific trading partner, a specific province and a specific variable such as value, volume and a percentage change on a monthly or annual basis. The application has also the ability to retrieve the top 25 commodities traded between a selected by the user geography, Canada or a province, and trading partner, the World or a specific country, for the month of interest. When desired, the user can copy the data seen on the screen into their preferred data manipulation software.
    Release date: 2024-07-03
  • 3. Average Retail Food Prices Data Visualization Tool
    Data Visualization: 71-607-X2024005
    Description: This interactive dashboard provides access to current and historical average price data for selected food products in a dynamic and customizable format. The price data is available for Canada and the provinces. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

    This web-based application is updated monthly, as soon as the data for the latest reference month is released in The Daily.
    Release date: 2024-07-03
  • 4. Statistics Canada - Data Visualization Products
    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: 2024-07-03
  • 5. Government of Canada direct and guaranteed securities and loans, Bank of Canada
    Table: 10-10-0113-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 107 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 ...), Government of Canada direct securities and loans (107 items: Classification by type of issue; total outstanding; Total; direct securities outstanding; Treasury Bills; Guaranteed securities ...).
    Release date: 2024-07-03
  • 6. Bank of Canada, money market and other interest rates
    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: 2024-07-03
  • 7. Canada and United States bilateral trade in goods, customs and balance of payments-basis, by currency and direction of trade, quarterly
    Table: 12-10-0005-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Canada and United States bilateral trade in goods data produced by Statistics Canada and the United States Census Bureau (customs basis) and the United States Bureau of Economic Analysis (balance of payments basis). Data are presented before and after adjustments made to standardize definitions. Quarterly data are available on Customs and on Balance of payments basis and are not seasonally adjusted.

    Release date: 2024-07-03
  • 8. International merchandise trade for all countries and by Principal Trading Partners, monthly
    Table: 12-10-0011-01
    Geography: Canada
    Frequency: Monthly
    Description: International merchandise trade data grouped by Principal Trading Partners (PTP). Users have the option of selecting Imports, Exports, or Trade Balance. Data are unadjusted and seasonally adjusted, and are on a Customs and Balance of Payments basis.
    Release date: 2024-07-03
  • 9. Merchandise imports and exports, customs-based, by Harmonized commodity description and coding system (HS) section, Canada, provinces and territories, United States, states
    Table: 12-10-0099-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    This table contains 37312 series, with data for years 1990 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...);  Trade (4 items: Total exports; Domestic exports; Re-exports; Total imports);  United States (53 items: Total United States; Alaska; Alabama; Arkansas; ...);  Harmonized System (HS) Sections (22 items: Total Harmonized System (HS) sections; I - Live animals and animal products; II - Vegetable products; III - Animal or vegetable fats and oils and their cleavage products; prepared edible fats; animal or vegetable waxes; ...).

    Release date: 2024-07-03
  • 10. International merchandise trade for all countries and by Principal Trading Partners, quarterly
    Table: 12-10-0127-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    International merchandise trade data grouped by Principal Trading Partners (PTP). Users have the option of selecting Imports, Exports or Trade Balance. Data are unadjusted and seasonally adjusted, on a Customs and Balance of Payments basis, at a quarterly frequency.

    Release date: 2024-07-03
Analysis (9,992)

Analysis (9,992) (20 to 30 of 9,992 results)

  • 21. Comments by Julie Gershunskaya and Vladislav Beresovsky on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100003
    Description: Beaumont, Bosa, Brennan, Charlebois and Chu (2024) propose innovative model selection approaches for estimation of participation probabilities for non-probability sample units. We focus our discussion on the choice of a likelihood and parameterization of the model, which are key for the effectiveness of the techniques developed in the paper. We consider alternative likelihood and pseudo-likelihood based methods for estimation of participation probabilities and present simulations implementing and comparing the AIC based variable selection. We demonstrate that, under important practical scenarios, the approach based on a likelihood formulated over the observed pooled non-probability and probability samples performed better than the pseudo-likelihood based alternatives. The contrast in sensitivity of the AIC criteria is especially large for small probability sample sizes and low overlap in covariates domains.
    Release date: 2024-06-25
  • 22. Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data
    Articles and reports: 12-001-X202400100004
    Description: Non-probability samples are being increasingly explored in National Statistical Offices as an alternative to probability samples. However, it is well known that the use of a non-probability sample alone may produce estimates with significant bias due to the unknown nature of the underlying selection mechanism. Bias reduction can be achieved by integrating data from the non-probability sample with data from a probability sample provided that both samples contain auxiliary variables in common. We focus on inverse probability weighting methods, which involve modelling the probability of participation in the non-probability sample. First, we consider the logistic model along with pseudo maximum likelihood estimation. We propose a variable selection procedure based on a modified Akaike Information Criterion (AIC) that properly accounts for the data structure and the probability sampling design. We also propose a simple rank-based method of forming homogeneous post-strata. Then, we extend the Classification and Regression Trees (CART) algorithm to this data integration scenario, while again properly accounting for the probability sampling design. A bootstrap variance estimator is proposed that reflects two sources of variability: the probability sampling design and the participation model. Our methods are illustrated using Statistics Canada’s crowdsourcing and survey data.
    Release date: 2024-06-25
  • 23. Author’s response to comments on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
    Articles and reports: 12-001-X202400100005
    Description: In this rejoinder, I address the comments from the discussants, Dr. Takumi Saegusa, Dr. Jae-Kwang Kim and Ms. Yonghyun Kwon. Dr. Saegusa’s comments about the differences between the conditional exchangeability (CE) assumption for causal inferences versus the CE assumption for finite population inferences using nonprobability samples, and the distinction between design-based versus model-based approaches for finite population inference using nonprobability samples, are elaborated and clarified in the context of my paper. Subsequently, I respond to Dr. Kim and Ms. Kwon’s comprehensive framework for categorizing existing approaches for estimating propensity scores (PS) into conditional and unconditional approaches. I expand their simulation studies to vary the sampling weights, allow for misspecified PS models, and include an additional estimator, i.e., scaled adjusted logistic propensity estimator (Wang, Valliant and Li (2021), denoted by sWBS). In my simulations, it is observed that the sWBS estimator consistently outperforms or is comparable to the other estimators under the misspecified PS model. The sWBS, as well as WBS or ABS described in my paper, do not assume that the overlapped units in both the nonprobability and probability reference samples are negligible, nor do they require the identification of overlap units as needed by the estimators proposed by Dr. Kim and Ms. Kwon.
    Release date: 2024-06-25
  • 24. Comments by Takumi Saegusa on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”: Causal inference, non-probability sample, and finite population
    Articles and reports: 12-001-X202400100006
    Description: In some of non-probability sample literature, the conditional exchangeability assumption is considered to be necessary for valid statistical inference. This assumption is rooted in causal inference though its potential outcome framework differs greatly from that of non-probability samples. We describe similarities and differences of two frameworks and discuss issues to consider when adopting the conditional exchangeability assumption in non-probability sample setups. We also discuss the role of finite population inference in different approaches of propensity scores and outcome regression modeling to non-probability samples.
    Release date: 2024-06-25
  • 25. Comments by Jae Kwang Kim and Yonghyun Kwon on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
    Articles and reports: 12-001-X202400100007
    Description: Pseudo weight construction for data integration can be understood in the two-phase sampling framework. Using the two-phase sampling framework, we discuss two approaches to the estimation of propensity scores and develop a new way to construct the propensity score function for data integration using the conditional maximum likelihood method. Results from a limited simulation study are also presented.
    Release date: 2024-06-25
  • 26. 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
  • 27. 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
  • 28. 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
  • 29. 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
  • 30. 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
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.
Report a problem or mistake on this page
Date modified:

Search help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Sort help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.