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All (24,392)

All (24,392) (0 to 10 of 24,392 results)

  • 1. Lumber production, shipments, and stocks by species, monthly
    Table: 16-10-0017-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Lumber, monthly production, shipments and stocks by species; data in thousands of cubic metres.
    Release date: 2024-07-04
  • 2. Lumber production by species, monthly
    Table: 16-10-0017-02
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly production, by product; data in thousands of cubic metres.

    Release date: 2024-07-04
  • 3. Lumber shipments by species, monthly
    Table: 16-10-0017-03
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly shipments, by product; data in thousands of cubic metres.

    Release date: 2024-07-04
  • 4. Lumber stocks by species, monthly
    Table: 16-10-0017-04
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly stocks, by product; data in thousands of cubic metres.

    Release date: 2024-07-04
  • 5. British Columbia lumber production, monthly
    Table: 16-10-0017-05
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly production, by species, for British Columbia; data in thousands of cubic metres.

    Release date: 2024-07-04
  • 6. British Columbia, lumber shipments, monthly
    Table: 16-10-0017-06
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly shipments, by species, for British Columbia; data in thousands of cubic metres.

    Release date: 2024-07-04
  • 7. British Columbia lumber stock, monthly
    Table: 16-10-0017-07
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Lumber, monthly stock, by species for British Columbia; data in thousands of cubic metres.
    Release date: 2024-07-04
  • 8. Wood chips production, shipments and stocks, monthly
    Table: 16-10-0046-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Wood chips, monthly production, shipments and stocks for Canada, British Columbia, British Columbia coast, British Columbia interior and other provinces. The data are in thousands of oven-dry metric tonnes.
    Release date: 2024-07-04
  • 9. Air passenger traffic at Canadian airports, annual
    Table: 23-10-0253-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Passengers enplaned and deplaned at Canadian airports, annual.
    Release date: 2024-07-04
  • 10. Air cargo traffic at Canadian airports, annual
    Table: 23-10-0254-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Tonnes of cargo loaded and unloaded at Canadian airports, annual.
    Release date: 2024-07-04
Data (12,032)

Data (12,032) (50 to 60 of 12,032 results)

  • 51. Renewable fuel plant statistics, supply and disposition, monthly
    Table: 25-10-0082-01
    Geography: Canada
    Frequency: Monthly
    Description: Data presented on renewable plant statistics by supply and disposition characteristics (e.g., production, shipments, inventories ). Not all combinations are available.
    Release date: 2024-07-02
  • 52. Disposal of waste, by source
    Table: 38-10-0032-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Every 2 years
    Description: This table displays the disposal of waste by source (residential and non-residential) for Canada, provinces and territories every two years. The unit of measure is tonnes.
    Release date: 2024-07-02
  • 53. Bank of Canada, assets and liabilities, Wednesdays
    Table: 10-10-0136-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 29 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 item: Canada), Assets and liabilities (29 items: Total assets; Total, Government of Canada, direct and guaranteed securities; Government of Canada, Treasury Bills; Total, Government of Canada, bonds; ...).
    Release date: 2024-07-02
  • 54. Chartered banks, classification of non-mortgage loans, at end of period, Bank of Canada
    Table: 10-10-0148-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    This table contains 94 series, with data starting from 1981 (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 currency (2 items: Canadian dollar; Foreign currency);  Type of loans (65 items: Total, loans; Other loans; Factored receivables; Leasing receivables; ...).

    Release date: 2024-07-02
  • 55. Tobacco, sales and inventories, monthly production
    Table: 16-10-0044-01
    Geography: Canada
    Frequency: Monthly
    Description: Tobacco products (cigarettes, cigars, manufactured tobacco, fine cut, manufactured tobacco, pipe tobacco), monthly production, sales (total, domestic, to ships, air stores and foreign embassies in Canada) and inventories for Canada.
    Release date: 2024-06-28
  • 56. Freight Rail Services Price Index, quarterly
    Table: 18-10-0181-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Freight Rail Services Price Index (FRSPI). Quarterly data are available from Q1 2018. The current base period for the index is 2018=100.

    Release date: 2024-06-28
  • 57. Freight Rail Services Price Index, percentage change, quarterly
    Table: 18-10-0181-02
    Geography: Canada
    Frequency: Quarterly
    Description:

    Freight Rail Services Price Index (FRSPI). Quarterly data are available from Q1 2018. The table presents quarter-to-quarter and year-to-year percentage changes for various aggregation levels. The current base period for the index is 2018=100.

    Release date: 2024-06-28
  • 58. Freight Rail Services Price Index, monthly
    Table: 18-10-0212-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The current base period for the index is 2018=100.

    Release date: 2024-06-28
  • 59. Freight Rail Services Price Index, percentage change, monthly
    Table: 18-10-0212-02
    Geography: Canada
    Frequency: Monthly
    Description:

    Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The table presents month-to-month and year-to-year percentage changes for various aggregation levels. The current base period for the index is 2018=100.

    Release date: 2024-06-28
  • 60. Couriers and messengers services price index, monthly
    Table: 18-10-0275-01
    Geography: Canada
    Frequency: Monthly
    Description: Couriers and messengers services price index (CMSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2010. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2019=100).
    Release date: 2024-06-28
Analysis (9,993)

Analysis (9,993) (20 to 30 of 9,993 results)

  • 21. Authors’ response to comments on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”: Some new developments on likelihood approaches to estimation of participation probabilities for non-probability samples
    Articles and reports: 12-001-X202400100001
    Description: Inspired by the two excellent discussions of our paper, we offer some new insights and developments into the problem of estimating participation probabilities for non-probability samples. First, we propose an improvement of the method of Chen, Li and Wu (2020), based on best linear unbiased estimation theory, that more efficiently leverages the available probability and non-probability sample data. We also develop a sample likelihood approach, similar in spirit to the method of Elliott (2009), that properly accounts for the overlap between both samples when it can be identified in at least one of the samples. We use best linear unbiased prediction theory to handle the scenario where the overlap is unknown. Interestingly, our two proposed approaches coincide in the case of unknown overlap. Then, we show that many existing methods can be obtained as a special case of a general unbiased estimating function. Finally, we conclude with some comments on nonparametric estimation of participation probabilities.
    Release date: 2024-06-25
  • 22. Comments by Changbao Wu on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100002
    Description: We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.
    Release date: 2024-06-25
  • 23. 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
  • 24. 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
  • 25. 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
  • 26. 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
  • 27. 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
  • 28. 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
  • 29. 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
  • 30. 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
Reference (1,892)

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

  • 21. 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
  • 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. 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
  • 24. 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
  • 25. 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
  • 26. 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
  • 27. 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
  • 28. 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
  • 29. 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
  • 30. Standard Classification of Countries and Areas of Interest (SCCAI)
    Classification: 12-608-X
    Description: The Standard Classification of Countries and Areas of Interest (SCCAI) has been developed to increase coherence of the list of countries used within Statistics Canada and includes countries and areas for which statistical data are compiled. The Variant of the SCCAI for Social Statistics and the Variant of the SCCAI for Travel Statistics were developed to create groupings of countries to enable the production of integrated statistics when publishing social statistics data and travel statistics data, respectively. These variants have three levels.
    Release date: 2023-12-07
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