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All (24,399)

All (24,399) (24,250 to 24,260 of 24,399 results)

  • 24,251. Annual Mineral Production Survey - Preliminary Estimates
    Surveys and statistical programs – Documentation: 5254
    Description: The Annual Mineral Production Survey - Preliminary Estimates is a survey of the mining industry in Canada. It is intended to cover establishments primarily engaged in mining or quarrying activities as well as establishments engaged in secondary business activity explicitly linked to the mining sector. Data collected from businesses are aggregated with information from other sources to produce official estimates of national and provincial production for these activities.
  • 24,252. Nursing and Residential Care Facilities - Public
    Surveys and statistical programs – Documentation: 5255
    Description: The program collects and disseminates financial operating data concerning government controlled and not-for-profit residential care facilities. Data may be used to develop national and regional economic policies and programs.
  • 24,253. Survey of Safety in Public and Private Spaces
    Surveys and statistical programs – Documentation: 5256
    Description: The purpose of this survey is to collect information on Canadians' experiences related to their safety in public and private spaces. Questions are asked about these personal experiences at home, in the workplace, in public spaces and online.
  • 24,254. Canadian Housing Statistics Program
    Surveys and statistical programs – Documentation: 5257
    Description: The CHSP will provide comprehensive information to monitor and analyze the Canadian housing market. Descriptive variables in the database will include property characteristics, (e.g., structure type, size, location), property owner characteristics (e.g., demographics, citizenship and residency status) and property financing (e.g., loan terms, outstanding debt).
  • 24,255. Study on International Money Transfers
    Surveys and statistical programs – Documentation: 5258
    Description: The objective of this study is to collect information about international money transfers, from residents of Canada to their relatives or friends living outside Canada.
  • 24,256. Canadian Armed Forces Health Survey
    Surveys and statistical programs – Documentation: 5259
    Description: The objective of this survey is to provide insight into the current health status of Canadian Armed Forces members.
  • 24,257. Canadian Victim Services Indicators
    Surveys and statistical programs – Documentation: 5260
    Description: The purpose of the Canadian Victim Services Indicators (CVSI) project is to collect aggregate statistics from victim services directorates with provincial and territorial governments to provide information on the characteristics of victims accessing services, the types of services utilized, and case load demands in order to better develop programs and services for victims of violence.
  • 24,258. Visitor Travel Survey
    Surveys and statistical programs – Documentation: 5261
    Description: The Visitor Travel Survey (VTS) provides statistics on U.S. and overseas visitors to Canada, their characteristics of travel and spending levels. The Visitor Travel Survey was introduced in January 2018 to replace the U.S. and overseas visitors to Canada component of the International Travel Survey (ITS record 3152 Archived).
  • 24,259. National Cannabis Survey
    Surveys and statistical programs – Documentation: 5262
    Description: The survey will be used in conjunction with other data sources to understand how the planned legalization of cannabis for non-medical use could impact the Canadian economy as well as other health and social services.
  • 24,260. Crowdsourcing - Cannabis
    Surveys and statistical programs – Documentation: 5263
    Description: The data collected are being used in the Canadian system of national accounts to support the creation and validation of measures relating to the importance of the cannabis sector in the Canadian economy.
Data (12,036)

Data (12,036) (20 to 30 of 12,036 results)

  • 21. Provisional weekly death counts, by selected grouped causes of death
    Table: 13-10-0810-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description:

    This table provides Canadians and researchers with provisional data to monitor weekly death trends by selected grouped causes of death in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

    Release date: 2024-07-11
  • 22. Provisional weekly age-standardized mortality rates, by sex
    Table: 13-10-0879-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description: The table displays weekly age standardized mortality rates for every province in Canada (excluding territories), by sex, since 2019. The standardization is done using the 2011 Canadian population.
    Release date: 2024-07-11
  • 23. Extractive Sector Transparency Measures Act Data Portal
    Data Visualization: 71-607-X2022008
    Description: The Extractive Sector Transparency Measures Act (ESTMA) Data Portal is a collaboration between Statistics Canada and Natural Resources Canada, which administers the ESTMA. The ESTMA helps the Government of Canada deter corruption in the extractive sector by requiring extractive entities that are active in Canada to publicly disclose, on an annual basis, certain types of payments made to governments in Canada and abroad. The goal of the data portal is to increase the accessibility and utility of the payment information collected under the ESTMA by bringing together all available ESTMA data in one online location, and further enriching the payment data with analytical functions that help users to leverage the complete ESTMA dataset. The database has also been designed with mobility in mind to ensure that users and stakeholders have mobile access to ESTMA data.
    Release date: 2024-07-11
  • 24. Canadian Economic Tracker
    Data Visualization: 71-607-X2023022
    Description: The Canadian Economic Tracker presents selected monthly indicators from Statistics Canada's Common Output Database Repository (CODR) to highlight interrelated dynamics within the Canadian economy.
    Release date: 2024-07-11
  • 25. Funds advanced, outstanding balances, and interest rates for new and existing lending, Bank of Canada
    Table: 10-10-0006-01
    Geography: Canada
    Frequency: Monthly
    Description:

    This table contains 102 series, with data starting from 2013, and some select series starting from 2016. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Components (51 items: Total, funds advanced, residential mortgages, insured; Variable rate, insured; Fixed rate, insured, less than 1 year; Fixed rate, insured, from 1 to less than 3 years; ...), and Unit of measure (2 items: Dollars; Interest rate). For additional clarification on the component dimension, please visit the OSFI website for the Report on New and Existing Lending.

    Release date: 2024-07-11
  • 26. Funds advanced, outstanding balances, and interest rates for new and existing lending, dollars, Bank of Canada
    Table: 10-10-0006-02
    Geography: Canada
    Frequency: Monthly
    Description:

    This table contains 51 series, with data starting from 2013, and some select series starting from 2016. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Components (51 items: Total, funds advanced, residential mortgages, insured; Variable rate, insured; Fixed rate, insured, less than 1 year; Fixed rate, insured, from 1 to less than 3 years; ...), and Unit of measure (1 item: Dollars). For additional clarification on the component dimension, please visit the OSFI website for the Report on New and Existing Lending.

    Release date: 2024-07-11
  • 27. 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: 2024-07-11
  • 28. 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: 2024-07-11
  • 29. Physical flow account for water use
    Table: 38-10-0250-01
    Geography: Canada
    Frequency: Every 2 years
    Description: This table contains 92 series, with data starting from 2009 (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) Sector (92 items: Total, industries and households; Total, industries; Crop production; Animal production; ...).
    Release date: 2024-07-11
  • 30. Farm input price index, quarterly
    Table: 18-10-0258-01
    Geography: Canada, Province or territory
    Frequency: Quarterly
    Description: Farm input price index (FIPI). Quarterly data are available from from the first quarter of 2002. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2012=100).
    Release date: 2024-07-10
Analysis (9,996)

Analysis (9,996) (30 to 40 of 9,996 results)

  • 31. National tourism indicators first quarter 2024
    Stats in brief: 11-001-X20241783389
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26
  • 32. 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
  • 33. 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
  • 34. 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
  • 35. 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
  • 36. 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
  • 37. 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
  • 38. 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
  • 39. 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
  • 40. 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
Reference (1,892)

Reference (1,892) (40 to 50 of 1,892 results)

  • 41. Labour Force Survey Response Rates, September 2023
    Surveys and statistical programs – Documentation: 75-005-M2023001
    Description: This document provides information on the evolution of response rates for the Labour Force Survey (LFS) and a discussion of the evaluation of two aspects of data quality that ensure the LFS estimates continue providing an accurate portrait of the Canadian labour market.
    Release date: 2023-10-30
  • 42. Contiguously Settled Areas: Boundaries and User Documentation
    Geographic files and documentation: 16-510-X2023001
    Description: This product contains contiguously settled area (CSA) boundaries for a subset of Canadian population centres for 2010 and 2020 with user documentation. The CSA boundaries are derived from land cover data and represent the geographic extent of settled areas based on their physical footprint on the landscape. The boundaries can be used for reference, mapping and spatial analysis of settled areas and urban ecosystems. The CSA boundaries are created and maintained under the umbrella of the Census of Environment, and will support Statistics Canada's ecosystem accounting efforts.
    Release date: 2023-10-27
  • 43. Environmental Statistics: Boundary Files
    Geographic files and documentation: 16-510-X
    Description: This product contains boundary files and user documentation for environmental analysis using geographical information systems (GIS).
    Release date: 2023-10-27
  • 44. User Guide for the Survey of Household Spending, 2021
    Surveys and statistical programs – Documentation: 62F0026M2023001
    Description: This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.
    Release date: 2023-10-18
  • 45. Sampling and Weighting Technical Report, Census of Population
    Surveys and statistical programs – Documentation: 98-306-X
    Description:

    This report describes sampling, weighting and estimation procedures used in the Census of Population. It provides operational and theoretical justifications for them, and presents the results of the evaluations of these procedures.

    Release date: 2023-10-04
  • 46. Methods for Constructing Life Tables for Canada, Provinces and Territories
    Surveys and statistical programs – Documentation: 84-538-X
    Geography: Canada
    Description: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.
    Release date: 2023-08-28
  • 47. Agriculture–Population Linkage: Data quality report
    Surveys and statistical programs – Documentation: 32-26-0006
    Description: This report provides data quality information pertaining to the Agriculture–Population Linkage, such as sources of error, matching process, response rates, imputation rates, sampling, weighting, disclosure control methods and data quality indicators.
    Release date: 2023-08-25
  • 48. T1 Family File, Final Estimates, 2021
    Surveys and statistical programs – Documentation: 72-212-X2023001
    Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2023-07-12
  • 49. Place of Birth, Generation Status, Citizenship and Immigration Reference Guide, Census of Population, 2021
    Surveys and statistical programs – Documentation: 98-500-X2021007
    Description:

    This reference guide provides information to help users effectively use and interpret place of birth, generation status, citizenship and immigration data from the 2021 Census. This guide contains definitions and explanations of concepts, questions, classifications, data quality and comparability with other sources for this topic.

    Release date: 2023-06-21
  • 50. Census of Population Reference Guide
    Surveys and statistical programs – Documentation: 98-500-X
    Description:

    Provides information that enables users to effectively use, apply and interpret data from the Census of Population. Each guide contains definitions and explanations on census concepts as well as a data quality and historical comparability section. Additional information will be included for specific variables to help users better understand the concepts and questions used in the census.

    Release date: 2023-06-21
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