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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) (60 to 70 of 13,239 results)
- Data Visualization: 71-607-X2023020Description: The "Frontier Counts: Interactive Dashboard" provides access to data on the number of border crossings in an interactive and customizable format. The counts include only those travelling for tourism-related purposes. The dashboard includes four visualizations: leading indicator of air arrivals, leading indicator of land arrivals, returning Canadians, and visitors to Canada.Release date: 2026-05-11
- Table: 24-10-0056-01Frequency: DailyDescription:
The table is part of Frontier Counts. The data comes from the Primary Inspections Kiosks (PIK), from the Canada Border Services Agency (CBSA). Keywords include: airport, arrival, entry, excursionist, overnight, plane, port of entry, same-day, tourism, tourist, travel and visit.
Release date: 2026-05-11 - Table: 24-10-0057-01Geography: Canada, Province or territoryFrequency: DailyDescription:
The table is part of Frontier Counts. The data comes from the Integrated Primary Inspection Line (IPIL), from the Canada Border Services Agency (CBSA). Keywords include: arrival, automobile, car, entry, excursionist, motorcycle, overnight, port of entry, same-day, tourism, tourist, travel and visit.
Release date: 2026-05-11 - Table: 24-10-0058-01Geography: Canada, Province or territoryFrequency: DailyDescription:
The table is part of Frontier Counts. The data comes from the Integrated Primary Inspection Line (IPIL), from the Canada Border Services Agency (CBSA). Keywords include: arrival, automobile, car, entry, international, motorcycle, port of entry, tourism, travel, traveller, visit and visitor.
Release date: 2026-05-11 - Table: 24-10-0059-01Geography: Canada, Province or territoryFrequency: DailyDescription:
The table is part of Frontier Counts. The data comes from the Integrated Primary Inspection Line (IPIL), from the Canada Border Services Agency (CBSA). Keywords include: arrival, crew, entry, international, port of entry, tourism, travel, traveller, visit and visitor.
Release date: 2026-05-11 - Table: 36-10-0491-01Geography: CanadaFrequency: MonthlyDescription:
Vintages of releases of gross domestic product (GDP) at basic prices, by North American Industry Classification System (NAICS) aggregates, by industry, volume measures, monthly.
Release date: 2026-05-11 - 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 gender and detailed age group.Release date: 2026-05-08
- 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 gender 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: 2026-05-08
- 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, gender and age group, monthly.Release date: 2026-05-08
- Table: 14-10-0021-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Unemployment rate, participation rate, and employment rate by type of student during school months, gender and age group, monthly.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)
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- 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
- Surveys and statistical programs – Documentation: 75-514-G2024001Description: 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.Release date: 2024-06-18
- Notices and consultations: 41-20-00012024001Description: 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
- Notices and consultations: 41-20-0001Description: 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
- Classification: 89-26-0004Description: 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
- Notices and consultations: 92-137-X2024001Description: 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
- Notices and consultations: 92-137-XDescription: 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
- Surveys and statistical programs – Documentation: 98-26-0008Description: 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
- 109. Reference guide on the social inclusion indicators for ethnocultural groups in Canada, 2024 - Open in new window/tab ArchivedSurveys and statistical programs – Documentation: 89-657-X2024002Description: 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
- Surveys and statistical programs – Documentation: 98-307-XDescription:
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
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- 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