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All (24,393) (60 to 70 of 24,393 results)

61. Employment by class of worker, monthly, seasonally adjusted
Table: 14-10-0288-02
Geography: Canada, Province or territory
Frequency: Monthly
Description: Number of employees by class of worker and sex. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Release date: 2024-07-05
62. Actual hours worked at main job by industry, monthly, seasonally adjusted, last 5 months
Table: 14-10-0289-01
Geography: Canada
Frequency: Monthly
Description: Number of employed persons by actual hours worked at main job and North American Industry Classification System (NAICS), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Release date: 2024-07-05
63. Actual hours worked at main job by industry, monthly, seasonally adjusted
Table: 14-10-0289-02
Geography: Canada
Frequency: Monthly
Description: Number of employed persons by actual hours worked at main job and North American Industry Classification System (NAICS). Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Release date: 2024-07-05
64. Labour force characteristics by industry, monthly, seasonally adjusted, last 5 months
Table: 14-10-0291-01
Geography: Canada
Frequency: Monthly
Description:
Number of persons in the labour force (employment and unemployment) and unemployment rate by North American Industry Classification System (NAICS), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Release date: 2024-07-05
65. Labour force characteristics by industry, monthly, seasonally adjusted
Table: 14-10-0291-02
Geography: Canada
Frequency: Monthly
Description:
Number of persons in the labour force (employment and unemployment) and unemployment rate by North American Industry Classification System (NAICS). Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Release date: 2024-07-05
66. Labour force characteristics by territory, three-month moving average, seasonally adjusted and unadjusted, last 5 months
Table: 14-10-0292-01
Geography: Province or territory
Frequency: Monthly
Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by territory, sex and age group, last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Release date: 2024-07-05
67. Labour force characteristics by territory, three-month moving average, seasonally adjusted
Table: 14-10-0292-02
Geography: Province or territory
Frequency: Monthly
Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by territory, sex and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Release date: 2024-07-05
68. Employment by occupation, monthly, seasonally adjusted, last 5 months
Table: 14-10-0310-01
Geography: Canada
Frequency: Monthly
Description: Number of employees by National Occupational Classification (NOC), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Release date: 2024-07-05
69. Employment by occupation, monthly, seasonally adjusted
Table: 14-10-0310-02
Geography: Canada
Frequency: Monthly
Description: Number of employees by National Occupational Classification (NOC). Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
Release date: 2024-07-05
70. Average usual hours and wages by selected characteristics, monthly, unadjusted for seasonality, last 5 months
Table: 14-10-0320-01
Geography: Canada
Frequency: Monthly
Description: Average usual hours and wages of employees (full- and part-time) by age group, sex, union coverage, job permanency, and National Occupational Classification (NOC), last 5 months.
Release date: 2024-07-05

Data (12,032)

Data (12,032) (0 to 10 of 12,032 results)

1. Historical (real-time) releases of Consumer Price Index (CPI) statistics, measures of core inflation - Bank of Canada definitions
Table: 18-10-0259-01
Frequency: Monthly
Description: Historical (real-time) releases of the measures of core inflation, with data from 1989 (not all combinations necessarily have data for all years). Data are presented for the current release and previous four releases. Users can select other releases that are of interest to them.
Release date: 2024-07-08
2. Quarterly retail commodity sales
Table: 20-10-0071-01
Geography: Canada
Frequency: Quarterly
Description:
Retail sales, by commodities classified under the North American Product Classification System (NAPCS) Canada 2022 and by North American Industry Classification System (NAICS) 2022, quarterly, Canada.

Release date: 2024-07-08
3. Monthly retail commodity sales
Table: 20-10-0080-01
Geography: Canada
Frequency: Monthly
Description: Retail sales, by commodities classified under the North American Product Classification System (NAPCS) Canada 2022, monthly, Canada.
Release date: 2024-07-08
4. Historical (real-time) releases of monthly retail trade, sales
Table: 20-10-0081-01
Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area part
Frequency: Monthly
Description: Historical releases of retail trade sales, available for all members under release and adjustment dimensions, for Canada, provinces and territories, available on a monthly basis in dollars x 1,000.
Release date: 2024-07-08
5. Historical (real-time) releases of monthly retail sales, price, and volume
Table: 20-10-0082-01
Geography: Canada
Frequency: Monthly
Description: Historical (real-time) releases of retail sales, price, and volume, available for all members under North American Industry Classification System (NAICS) dimension, for Canada, available on a monthly basis, seasonally adjusted, in dollars x 1,000,000.
Release date: 2024-07-08
6. 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: 2024-07-08
7. 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: 2024-07-08
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: 2024-07-08
9. 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: 2024-07-08
10. Daily average foreign exchange rates in Canadian dollars, Bank of Canada
Table: 33-10-0036-01
Geography: Canada
Frequency: Daily
Description:
This table contains 27 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 (27 items: Australian dollar, daily average; Brazilian real, daily average; Chinese renminbi, daily average; European euro, daily average; ...).
Release date: 2024-07-08

Analysis (9,994)

Analysis (9,994) (20 to 30 of 9,994 results)

21. Economic and Social Reports June 2024
Stats in brief: 11-001-X202417822588
Description: Release published in The Daily – Statistics Canada’s official release bulletin
Release date: 2024-06-26
22. 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
23. Economic and Social Reports
Journals and periodicals: 36-28-0001
Description: Economic and Social Reports includes in-depth research, brief analyses, and current economic updates on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. All the papers are institutionally reviewed and the research and analytical papers undergo peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.
Release date: 2024-06-26
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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

Reference (1,892)

Reference (1,892) (10 to 20 of 1,892 results)

11. Latest Developments in the Canadian Economic Accounts
Notices and consultations: 13-605-X
Description: This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.
Release date: 2024-06-05
12. Regional Discussion Report: Review of First Nations, Métis and Inuit questions for the 2026 Census of Population
Notices and consultations: 41-20-00012024001
Description: From November 2022 to March 2023 Statistics Canada undertook a series of discussions to obtain feedback on the questions used to identify First Nations people, Métis and Inuit on the Census of Population and on other Statistics Canada surveys. This report summarizes the feedback received during these discussions.
Release date: 2024-05-29
13. Regional discussion report: Review of First Nations, Métis and Inuit questions on the census
Notices and consultations: 41-20-0001
Description: Engagement on the questions used to identify First Nations people, Métis and Inuit that are included on the Census of Population and on other Statistics Canada surveys is an important part of ensuring high quality and meaningful data are collected. The feedback received during these discussions are presented in these reports.
Release date: 2024-05-29
14. Canadian Research and Development Classification (CRDC)
Classification: 89-26-0004
Description: This classification system was developed conjointly by the Social Sciences and Humanities Research Council of Canada (SSHRC), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), and Statistics Canada which is the custodian. This shared standard classification, inspired by the Frascati Model 2015 of the Organisation for Economic Co-operation and Development (OECD), will be used by the federal granting agencies and Statistics Canada to collect, and disseminate data related to research and development in Canada. The Canadian Research and Development Classification (CRDC) first official version was the 2020 Version 1.0, now being replaced by CRDC Version 2.0. The CRDC is revised within 2 years for minor changes, and every five years for major revisions. CRDC 2020 Version 2.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1,671 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).
Release date: 2024-04-30
15. Technical Reference Guides for the Education and Labour Market Longitudinal Platform (ELMLP)
Surveys and statistical programs – Documentation: 37-20-0001
Description: These reference guides are intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The guide provides an overview of the Postsecondary Student Information System (PSIS) and the Registered Apprenticeship Information System (RAIS), the general methodology used to create longitudinal indicators, and important technical information for users.
Release date: 2024-04-17
16. Census Program Content Consultation Report
Notices and consultations: 92-137-X
Description: User consultation is the first step in determining Census Program content. The findings of content consultations are presented in these reports.
Release date: 2024-04-17
17. 2026 Census of Population Content Consultation Results: What we heard from Canadians
Notices and consultations: 92-137-X2024001
Description: Data from the Census of Population are important for all communities and are vital to plan services that support education, employment, transportation, health care and housing. To maintain the relevance of the census, Statistics Canada evaluates and reviews the census questionnaire content for each census cycle. In preparation for the 2026 Census, Statistics Canada consulted Canadians from fall 2022 to spring 2023. Detailed responses were received from organizations and individuals representing federal, provincial, territorial and local government departments; First Nations people, Métis and Inuit; the general public; academia; special interest groups; and the private sector.
This report focuses on the findings of the 2026 Census data needs consultation and stakeholder discussions. Chapter 1 explains whom we consulted. Chapter 2 describes the strength of census data users’ needs such as the size of the population of interest. Chapter 3 provides an assessment of the perceived data gaps in census content and the availability and suitability of alternative data sources. Chapter 4 focuses on information needs by census topic and how preparations for the 2024 Census Test will help meet these needs.
Release date: 2024-04-17
18. Guide to the Survey of Employment, Payrolls and Hours
Surveys and statistical programs – Documentation: 72-203-G
Description: The Guide to the Survey of Employment, Payrolls and Hours contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection and processing, and data quality. It also provides information on products and services, as well as the survey questionnaire.
Release date: 2024-03-28
19. Education Indicators in Canada: Handbook for the Report of the Pan-Canadian Education Indicators Program
Surveys and statistical programs – Documentation: 81-582-G
Description: This handbook complements the tables of the Pan-Canadian Education Indicators Program (PCEIP). It is a guide that provides general descriptions for each indicator and indicator component. PCEIP has five broad indicator sets: a portrait of the school-age population; financing education systems; elementary and secondary education; postsecondary education; and transitions and outcomes.

The Pan-Canadian Education Indicators Program (PCEIP) is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada.
Release date: 2024-03-28
20. Health Regions: Boundaries and Correspondence with Census Geography
Geographic files and documentation: 82-402-X
Description: Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to latest Census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout).

In addition to the geographic files, this product also includes Census data (basic profile) for health regions.
Release date: 2024-03-27

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