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All (24,610)
All (24,610) (0 to 10 of 24,610 results)
- Table: 33-10-0036-01Geography: CanadaFrequency: DailyDescription:
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: 2024-10-11 - Table: 33-10-0398-01Geography: Population centreFrequency: WeeklyDescription:
The RT-LBCI is released as an experimental statistic. It is intended to provide a real-time signal on business activities following the disruptions brought about by the pandemic and through the recovery phase.
Release date: 2024-10-11 - Table: 34-10-0285-01Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area partFrequency: MonthlyDescription: Monthly building and demolition permits value of construction by type of structure and type of work.Release date: 2024-10-11
- Table: 34-10-0285-02Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area partFrequency: MonthlyDescription: Monthly building and demolition permits value of construction by type of structure and type of work, percentage change (x1,000).Release date: 2024-10-11
- Table: 13-10-0863-01Geography: Canada, Geographical region of CanadaFrequency: OccasionalDescription: In collaboration with the Public Health Agency of Canada (PHAC), this table provides Canadians and researchers with data to monitor only the confirmed cases of coronavirus (COVID-19) in Canada. This table will provide an aggregate summary of the data available in the publication 13-26-0003.Release date: 2024-10-11
- Table: 13-10-0864-01Geography: Canada, Geographical region of CanadaFrequency: OccasionalDescription: In collaboration with the Public Health Agency of Canada (PHAC), this table provides Canadians and researchers with data to monitor only the confirmed cases of coronavirus (COVID-19) in Canada. This table will provide an aggregate summary of the data available in the publication 13-26-0003.Release date: 2024-10-11
- Table: 14-10-0017-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by sex and detailed age group, last 5 months.Release date: 2024-10-11
- Table: 14-10-0017-02Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by sex and detailed age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.Release date: 2024-10-11
- Table: 14-10-0019-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by educational attainment, sex and age group, last 5 months.Release date: 2024-10-11
- Table: 14-10-0021-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Unemployment rate, participation rate, and employment rate by type of student during school months, sex and age group, last 5 months.Release date: 2024-10-11
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Data (12,155)
Data (12,155) (0 to 10 of 12,155 results)
- Table: 33-10-0036-01Geography: CanadaFrequency: DailyDescription:
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: 2024-10-11 - Table: 33-10-0398-01Geography: Population centreFrequency: WeeklyDescription:
The RT-LBCI is released as an experimental statistic. It is intended to provide a real-time signal on business activities following the disruptions brought about by the pandemic and through the recovery phase.
Release date: 2024-10-11 - Table: 34-10-0285-01Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area partFrequency: MonthlyDescription: Monthly building and demolition permits value of construction by type of structure and type of work.Release date: 2024-10-11
- Table: 34-10-0285-02Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area partFrequency: MonthlyDescription: Monthly building and demolition permits value of construction by type of structure and type of work, percentage change (x1,000).Release date: 2024-10-11
- Table: 13-10-0863-01Geography: Canada, Geographical region of CanadaFrequency: OccasionalDescription: In collaboration with the Public Health Agency of Canada (PHAC), this table provides Canadians and researchers with data to monitor only the confirmed cases of coronavirus (COVID-19) in Canada. This table will provide an aggregate summary of the data available in the publication 13-26-0003.Release date: 2024-10-11
- Table: 13-10-0864-01Geography: Canada, Geographical region of CanadaFrequency: OccasionalDescription: In collaboration with the Public Health Agency of Canada (PHAC), this table provides Canadians and researchers with data to monitor only the confirmed cases of coronavirus (COVID-19) in Canada. This table will provide an aggregate summary of the data available in the publication 13-26-0003.Release date: 2024-10-11
- Table: 14-10-0017-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by sex and detailed age group, last 5 months.Release date: 2024-10-11
- Table: 14-10-0017-02Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by sex and detailed age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.Release date: 2024-10-11
- Table: 14-10-0019-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by educational attainment, sex and age group, last 5 months.Release date: 2024-10-11
- Table: 14-10-0021-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Unemployment rate, participation rate, and employment rate by type of student during school months, sex and age group, last 5 months.Release date: 2024-10-11
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Analysis (10,047)
Analysis (10,047) (9,930 to 9,940 of 10,047 results)
- 9,931. Ratio estimation with subsampling the nonrespondents ArchivedArticles and reports: 12-001-X198600214463Description:
The procedure of subsampling the nonrespondents suggested by Hansen and Hurwitz (1946) is considered. Post-stratification prior to the subsampling is examined. For the mean of a characteristic of interest, ratio estimators suitable for different practical situations are proposed and their merits are examined. Suitable ratio estimators are also suggested for the situations in which the Hard-Core are present.
Release date: 1986-12-15 - 9,932. The treatment of missing survey data ArchivedArticles and reports: 12-001-X198600114404Description:
Missing survey data occur because of total nonresponse and item nonresponse. The standard way to attempt to compensate for total nonresponse is by some form of weighting adjustment, whereas item nonresponses are handled by some form of imputation. This paper reviews methods of weighting adjustment and imputation and discusses their properties.
Release date: 1986-06-16 - 9,933. On the definitions of response rates ArchivedArticles and reports: 12-001-X198600114437Description:
In this paper, different types of response/nonresponse and associated measures such as rates are provided and discussed together with their implications on both estimation and administrative procedures. The missing data problems lead to inconsistent terminology related to nonresponse such as completion rates, eligibility rates, contact rates, and refusal rates, many of which can be defined in different ways. In addition, there are item nonresponse rates as well as characteristic response rates. Depending on the uses, the rates may be weighted or unweighted.
Release date: 1986-06-16 - 9,934. Some optimality results in the presence of nonresponse ArchivedArticles and reports: 12-001-X198600114438Description:
Using the optimal estimating functions for survey sampling estimation (Godambe and Thompson 1986), we obtain some optimality results for nonresponse situations in survey sampling.
Release date: 1986-06-16 - 9,935. Basic ideas of multiple imputation for nonresponse ArchivedArticles and reports: 12-001-X198600114439Description:
Multiple imputation is a technique for handling survey nonresponse that replaces each missing value created by nonresponse by a vector of possible values that reflect uncertainty about which values to impute. A simple example and brief overview of the underlying theory are used to introduce the general procedure.
Release date: 1986-06-16 - 9,936. Imputation options in a generalized edit and imputation system ArchivedArticles and reports: 12-001-X198600114440Description:
Statistics Canada has undertaken a project to develop a generalized edit and imputation system, the intent of which is to meet the processing requirements of most of its surveys. The various approaches to imputation for item non-response, which have been proposed, will be discussed. Important issues related to the implementation of these proposals into a generalized setting will also be addressed.
Release date: 1986-06-16 - 9,937. The maximum likelihood method for non-response in sample surveys ArchivedArticles and reports: 12-001-X198600114441Description:
The analysis of survey data becomes difficult in the presence of incomplete responses. By the use of the maximum likelihood method, estimators for the parameters of interest and test statistics can be generated. In this paper the maximum likelihood estimators are given for the case where the data is considered missing at random. A method for imputing the missing values is considered along with the problem of estimating the change points in the mean. Possible extensions of the results to structured covariances and to non-randomly incomplete data are also proposed.
Release date: 1986-06-16 - 9,938. Statistical editing and imputation for periodic business surveys ArchivedArticles and reports: 12-001-X198600114442Description:
For periodic business surveys which are conducted on a monthly, quarterly or annual basis, the data for responding units must be edited and the data for non-responding units must be imputed. This paper reports on methods which can be used for editing and imputing data. The editing is comprised of consistency and statistical edits. The imputation is done for both total non-response and partial non-response.
Release date: 1986-06-16 - 9,939. Practical criteria for definition of weighting classes ArchivedArticles and reports: 12-001-X198600114443Description:
When the technique of adjustment using weighting classes is applied to compensate for the effect of non-response, several questions arise that call for precise and quantified answers: How does the choice of the variables used for definition of the classes affect total root-mean-square error, in particular non-response bias and sampling variance? What rule and what procedure should be followed in choosing the adjustment variables? On the basis of what criterion can the optimal sizes for the weighting classes be established? Finally, when this procedure is applied to compensate for non-response with respect to specific elements of a questionnaire, how can strongly correlated ancillary variables be used effectively when they themselves are affected by non-response? This article is addressed to those professionals working at a practical level who are seeking guidelines.
Release date: 1986-06-16 - 9,940. A study of the effects of imputation groups in the nearest neighbour imputation method for the National Farm Survey ArchivedArticles and reports: 12-001-X198600114444Description:
A new processing system using the nearest neighbour (N-N) imputation method is being implemented for the National Farm Survey (NFS). An empirical study was conducted to determine if the NFS estimates would be affected by using imputation groups based on type of farm. For the specific imputation rule examined, the study showed evidence that the effect might be small.
Release date: 1986-06-16
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Reference (1,934)
Reference (1,934) (10 to 20 of 1,934 results)
- Surveys and statistical programs – Documentation: 98-20-00032021033Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to explain how to add geographies in the 2021 Census Profile and to present the various downloading options to see the data.Release date: 2024-07-10
- Surveys and statistical programs – Documentation: 72-212-XDescription: Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.Release date: 2024-06-27
- Surveys and statistical programs – Documentation: 72-212-X2024001Description: 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: 2024-06-27
- Geographic files and documentation: 92-162-GDescription: This reference guide is intended for users of the Census Subdivisions Boundary File. The guide provides an overview of the file, the general methodology used to create it, and important technical information for users.Release date: 2024-06-26
- Geographic files and documentation: 92-162-XDescription: The Census Subdivision Boundary File contains the boundaries of all census subdivisions which combined cover all of Canada. A census subdivision is a municipality or an area treated as an equivalent to a municipality for statistical purposes (for example, Indian reserves and unorganized territories). The file provides a framework for mapping and spatial analysis using commercially available geographic information systems (GIS) or other mapping software.
The Census Subdivision Boundary File is portrayed in Lambert conformal conic projection and is based on the North American Datum of 1983 (NAD83). A reference guide is available (92-162-G).
Release date: 2024-06-26 - Geographic files and documentation: 92-500-GDescription: This reference guide is intended for users of the Road Network File. The guide provides an overview of the file, the general methodology used to create it, and important technical information for users.Release date: 2024-06-26
- Geographic files and documentation: 92-500-XGeography: CanadaDescription: The Road Network File (RNF) is a digital representation of Canada's national road network, containing information such as street names, types, directions and address ranges. The information comes from the National Geographic Database (NGD).
A reference guide is available (92-500-G).
Release date: 2024-06-26 - Notices and consultations: 92F0009XDescription: This report provides a summary of changes to municipal boundaries, status and names. The list is usually produced on an annual basis for changes that occurred during the previous year. A five year list is produced on Census of population years.Release date: 2024-06-26
- Surveys and statistical programs – Documentation: 91-620-XDescription: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.Release date: 2024-06-24
- Surveys and statistical programs – Documentation: 75-514-GDescription: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.Release date: 2024-06-18
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