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Results
All (26,491)
All (26,491) (0 to 10 of 26,491 results)
- 1. Manufacturing sales, by industry for 15 Selected Census Metropolitan Areas - Open in new window/tabTable: 16-10-0011-01Geography: Census metropolitan areaFrequency: MonthlyDescription:
Monthly Canadian manufacturer's sales for 15 census metropolitan areas (CMA) for durable and non-durable goods by North American Industry Classification System (NAICS). Data in thousands of dollars. Unadjusted and seasonally adjusted data available from January 2013 to the current reference month. Not all combinations are available.
Release date: 2026-05-15 - Table: 16-10-0012-01Geography: CanadaFrequency: MonthlyDescription: Monthly capacity utilization rates for Canadian manufacturers by North American Industry Classification System (NAICS), from January 2017 to the current reference month.Release date: 2026-05-15
- Table: 16-10-0013-01Geography: CanadaFrequency: MonthlyDescription: Canadian Sales of goods manufactured (shipments), new orders, unfilled orders, inventories, raw materials, goods or work in process, finished goods, and inventory to sales ratios for durable and non-durable goods by North American Industry Classification System (NAICS) for reference periods January 2002 to the current reference month. Not all combinations are available. Values are in constant dollars.Release date: 2026-05-15
- Table: 16-10-0047-01Geography: CanadaFrequency: MonthlyDescription:
Monthly Canadian manufacturers' sales, new orders, unfilled orders, raw materials, goods or work in process, finished goods, total inventories, inventory to sales ratios and finished goods to sales ratios for durable and non-durable goods by North American Industry Classification System (NAICS), in dollars unless otherwise noted. Unadjusted and seasonally adjusted values available from January 1992 to the current reference month.
Release date: 2026-05-15 - Table: 16-10-0047-02Geography: CanadaFrequency: MonthlyDescription:
Monthly manufacturers' sales, inventories, orders and inventory-to-sales ratios, for motor vehicle and motor vehicle parts manufacturing industries, and motor vehicle body and trailer manufacturing industries, in dollars unless otherwise noted.
Release date: 2026-05-15 - Table: 16-10-0048-01Geography: Province or territoryFrequency: MonthlyDescription:
Monthly provincial and territorial manufacturing sales, by North American Industry Classification System (NAICS), data in thousands of dollars. Unadjusted and seasonally adjusted values available from January 1992 to the current reference month. Not all combinations are available.
Release date: 2026-05-15 - Data Visualization: 71-607-XDescription: Statistics Canada produces a variety of interactive visualization tools that present data in a graphical form. These tools provide a useful way of interpreting trends behind our data on various social and economic topics.Release date: 2026-05-15
- 8. Selected United States dollar interest rates, Wednesdays, Bank of Canada - Open in new window/tabTable: 10-10-0138-01Frequency: WeeklyDescription: This table contains 12 series, with data starting from 1954 (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: United States); Rates (12 items: Federal Reserve Bank of New York - discount rate; Prime rate charged by banks; Federal funds rate;Commercial paper, adjusted: 1 month; ...).Release date: 2026-05-15
- Table: 10-10-0139-01Geography: CanadaFrequency: DailyDescription: 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: 2026-05-15
- Table: 10-10-0145-01Geography: CanadaFrequency: WeeklyDescription: This table contains 38 series, with data starting from 1957 (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 (38 items: Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate; Forward premium or discount (-), United States dollars in Canada: 1 month; ...).Release date: 2026-05-15
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Data (13,239)
Data (13,239) (80 to 90 of 13,239 results)
- Table: 14-10-0048-02Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of multiple jobholders by usual hours worked at main job and all jobs, last 5 months.Release date: 2026-05-08
- Table: 14-10-0050-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employed persons by job tenure, type of work (full- and part-time employment), gender, and age group, monthly.Release date: 2026-05-08
- Table: 14-10-0054-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employed persons by job tenure, North American Industry Classification System (NAICS) and gender.Release date: 2026-05-08
- Table: 14-10-0058-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of unemployed persons by type of work sought and search method, gender and age group, monthly.Release date: 2026-05-08
- Table: 14-10-0063-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.Release date: 2026-05-08
- Table: 14-10-0065-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Average hourly and weekly wage rate, and median hourly and weekly wage rate by permanent and temporary employees, union coverage, gender, and age group, monthly.Release date: 2026-05-08
- Table: 14-10-0067-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employees by establishment size, North American Industry Classification System (NAICS), gender, and age group, monthly.Release date: 2026-05-08
- Table: 14-10-0069-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employees covered and not covered by a union, by North American Industry Classification System (NAICS), gender, and age group.Release date: 2026-05-08
- Table: 14-10-0071-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of permanent and temporary employees by North American Industry Classification System (NAICS), gender and age group.Release date: 2026-05-08
- Table: 14-10-0075-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employees working overtime (weekly) and average overtime hours by North American Industry Classification System (NAICS), gender and age group, last 5 months.Release date: 2026-05-08
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Analysis (10,753)
Analysis (10,753) (10,690 to 10,700 of 10,753 results)
- Articles and reports: 12-001-X197900100002Description: This paper includes a description of interviewer techniques and procedures used to minimize non-response, an outline of methods used to monitor and control non-response, and a discussion of how non-respondents are treated in the data processing and estimation stages of the Canadian Labour Force Survey. Recent non-response rates as well as data on the characteristics of non-respondents are also given. It is concluded that a yearly non-response rate of approximately 5 percent is probably the best that can be achieved in the Labour Force Survey.Release date: 1979-06-15
- 10,692. An empirical investigation of an improved method of measuring correlated response variance - Open in new window/tab ArchivedArticles and reports: 12-001-X197900100003Description: Two methods for estimating the correlated response variance of a survey estimator are studied by way of both theoretical comparison and empirical investigation. The variance of these estimators is discussed and the effects of outliers examined. Finally, an improved estimator is developed and evaluated.Release date: 1979-06-15
- 10,693. Selecting a sample of size n with PPSWOR from a finite population - Open in new window/tab ArchivedArticles and reports: 12-001-X197900100004Description: Let U = {1, 2, …, i, …, N} be a finite population of N identifiable units. A known “size measure” x_i is associated with unit i; i = 1, 2, ..., N. A sampling procedure for selecting a sample of size n (2 < n < N) with probability proportional to size (PPS) and without replacement (WOR) from the population is proposed. With this method, the inclusion probability is proportional to size (IPPS) for each unit in the population.Release date: 1979-06-15
- Articles and reports: 12-001-X197900100005Description: Approximate cutoff rules for stratifying a population into a take-all and take-some universe have been given by Dalenius (1950) and Glasser (1962). They expressed the cutoff value (that value which delineates the boundary of the take-all and take-some) as a function of the mean, the sampling weight and the population variance. Their cutoff values were derived on the assumption that a single random sample of size n was to be drawn without replacement from the population of size N.In the present context, exact and approximate cutoff rules have been worked out for a similar situation. Rather than providing the sample size of the sample, the precision (coefficient of variation) is given. Note that in many sampling situations, the sampler is given a set of objectives in terms of reliability and not sample size. The result is particularly useful for determining the take-all - take-some boundary for samples drawn from a known population. The procedure is also extended to ratio estimation.Release date: 1979-06-15
- 10,695. Unbiased estimation of proportions under sequential sampling - Open in new window/tab ArchivedArticles and reports: 12-001-X197900100006Description: Under a sequential sampling plan, the proportion defective in the sample is generally a biased estimator of the population value. In this paper, an unbiased estimator is given. Also, an unbiased estimator of its variance is derived. These results are applied to an estimation problem from the 1976 Canadian Census.Release date: 1979-06-15
- 10,696. The application of a systematic method of automatic edit and imputation to the 1976 Canadian Census of Population and Housing - Open in new window/tab ArchivedArticles and reports: 12-001-X197800254832Description: I.P. Fellegi and D. Holt proposed a systematic approach to automatic edit and imputation. An implementation of this proposal was a Generalized Edit and Imputation System by the Hot-Deck Approach, that was utilized in the edit and imputation of the 1976 Canadian Census of Population and Housing. This paper discusses that application, evaluating the strengths and weaknesses of the methodology with some empirical evidence. The system will be considered in relation to the general issues of the edit and imputation of survey data. Some directions for future developments will also be considered.Release date: 1978-12-15
- 10,697. Large scale imputation of survey data - Open in new window/tab ArchivedArticles and reports: 12-001-X197800254833Description: Owners of small businesses complain about the quantity of forms they are required to collectors of statistics. Administrative data are an alternative source but do not usually include all the information required by the survey takers.The “Tax Data Imputation System” makes use of tax data collected from a large number of businesses by Revenue Canada and data obtained by sample survey for a small subset of these businesses. Survey data is imputed (estimated) for all the businesses not actually surveyed using a “hot-deck” technique, with adjustments made to ensure certain edit rules are satisfied. The results of a simulation study suggest that this procedure has reasonable statistical properties. Estimators (of means or totals) are unbiased with variances of comparable size to the corresponding ratio estimators.Release date: 1978-12-15
- 10,698. Some methods for updating sample survey frames and their effects on estimation - Open in new window/tab ArchivedArticles and reports: 12-001-X197800254834Description: Frames designed for continuous surveys are sometimes used for ad hoc surveys which require selection of sampling units separate from those selected for the continuous survey. This paper presents an unbiased extension of Keyfitz’s (1951) sample updating method to the case where a portion of the frame has been reserved for surveys other than the main continuous survey. A simple although biased alternative is presented. The scope under Platek and Singh’s (1975) design strategy for an area based continuous survey requiring updating is then expanded to encompass rotation of first stage units, establishment of a separate special survey sub-frame, and procedures to prevent re-selection of ultimate sampling units. The methods are evaluated in a Monte Carlo study using Census data to simulate the design for the Canadian Labour Force Survey.Release date: 1978-12-15
- 10,699. Alternative estimators in PPS sampling - Open in new window/tab ArchivedArticles and reports: 12-001-X197800254835Description: Some estimators alternative to the usual PPS estimator are suggested in this paper for situations where the size measure used for PPS sampling is not correlated with the study variable and where data are available on another supplementary variable (size measure). Properties of these estimators are studied under super-population models and also empirically.Release date: 1978-12-15
- 10,700. Non-response and imputation - Open in new window/tab ArchivedArticles and reports: 12-001-X197800254830Description: The problems of dealing with non-response at various stages of survey planning are discussed with implications for the mean square error, practicality and possible advantages and disadvantages. Conceptual issues of editing and imputation are also considered with regard to complexity and levels of imputation. The methods of imputation include weighting, duplication, and substitution of historical records. The paper includes some methodology on the bias and variance.Release date: 1978-12-15
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Reference (2,027)
Reference (2,027) (90 to 100 of 2,027 results)
- Geographic files and documentation: 16-510-X2024004Description: This product contains specifications intended for users of the urban greenness geospatial files. This document provides important technical information for users and links to methodology.Release date: 2024-11-21
- Surveys and statistical programs – Documentation: 98-303-XDescription: The Coverage Technical Report will present the errors included in census data that result from persons who are either missed (not enumerated) or enumerated more than once. The population coverage error is one of the most important types of errors because it affects the accuracy of not only population counts, but also all the census data results that describe the characteristics of the population universe.Release date: 2024-10-23
- Geographic files and documentation: 16-510-X2024001Description: This product contains gridded datasets of annual and 30-year average estimates of water yield. Tracking water yield—an estimate of renewable water supply derived from National Water Data Archive (HYDAT) streamflow data—provides information to help understand water resources available for human use and ecosystem needs. Annual datasets are available for the years 1971 to 2021 and cover southern Canada. Thirty-year averages are available for 1971-2000, 1981-2010, and 1991-2020. They cover the terrestrial and freshwater extent of Canada, except for the Arctic Archipelago.Release date: 2024-09-19
- Geographic files and documentation: 16-510-X2024002Description: This product contains specifications intended for users of the water yield geospatial files. This document provides important technical information for users and links to methodology.Release date: 2024-09-19
- Surveys and statistical programs – Documentation: 89-653-X2024002Description: This guide is intended to provide a detailed review of both the 2022 IPS and IPS–NIS with respect to subject matter and methodological approaches. It is designed to help data users by serving as a guide to the concepts and measures of the survey as well as the technical details of the survey’s design, field work and data processing. This guide is meant to provide users with helpful information on how to use and interpret survey results. The discussion on data quality also allows users to review the strengths and limitations of the data for their particular needs. Chapter 1 of this guide provides an overview of the 2022 IPS and IPS–NIS by introducing the survey background and objectives. Chapter 2 outlines the survey’s themes and explains the key concepts and definitions used for the survey. Chapters 3 to 6 cover important aspects of the survey methodology, sampling design, data collection and processing. Chapters 7 and 8 review issues of data quality and caution users about comparing 2022 IPS or IPS–NIS data with data from other sources. Chapter 9 outlines the survey products available to the public, including data tables, analytical articles and reference material. The appendices provide a comprehensive list of survey indicators, extra coding categories and standard classifications used on both the IPS and the IPS–NIS. Lastly, a glossary of survey terms and information on confidence intervals is also provided.Release date: 2024-08-14
- Surveys and statistical programs – Documentation: 73-506-GDescription: The Guide to Employment Insurance Statistics (EIS) summarizes the survey methodology and data source and includes a dictionary of concepts and definitions used by the program.Release date: 2024-07-18
- Surveys and statistical programs – Documentation: 98-20-00032021031Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. This video will provide an overview of the major links and products on the main page that are available to all users.Release date: 2024-07-10
- 98. Census of Population web pages: Profile Part 1, How to find and filter data - Open in new window/tabSurveys and statistical programs – Documentation: 98-20-00032021032Description: 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 where to find the most popular standard data product of the Census of Population, the 2021 Census Profile, and how to filter the data.Release date: 2024-07-10
- 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-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
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Other (1)
Other (1) ((1 result))
- 89-26-0005Description: This document provides best practices in data visualization for basic charts. A data visualization product can be created with very different goals and for different audiences with a wide range of expertise. General information applicable to any data visualization product is provided, as well as detailed information for data visualization by chart. This report covers 5 different categories of charts, and presents graphs from the following 5 general categories: pie charts, bar charts, point charts, line charts and maps.Release date: 2023-02-24