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  • 1. Employment characteristics for persons with and without disabilities, annual - Open in new window/tab
    Table: 14-10-0479-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Annual
    Description: Employment estimates by class of worker, province, gender, age group and disability, annual.
    Release date: 2026-05-19
  • 2. Employment by industry for persons with and without disabilities, annual - Open in new window/tab
    Table: 14-10-0479-02
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Annual
    Description: Employment estimates by North American Industry Classification System (NAICS), province, gender, age group and disability, annual.
    Release date: 2026-05-19
  • 3. Employment by occupation for persons with and without disabilities, annual - Open in new window/tab
    Table: 14-10-0479-03
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Annual
    Description: Employment estimates by National Occupational Classification (NOC), province, gender, age group and disability, annual.
    Release date: 2026-05-19
  • 4. Employment by job tenure for persons with and without disabilities, annual - Open in new window/tab
    Table: 14-10-0479-04
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Annual
    Description: Employment estimates by job tenure, province, gender, age group and disability, annual.
    Release date: 2026-05-19
  • 5. Building permits March 2026 - Open in new window/tab
    Stats in brief: 11-001-X20261393592
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-05-19
  • 6. Consumer Price Index April 2026 - Open in new window/tab
    Stats in brief: 11-001-X20261393665
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-05-19
  • 7. Consumer Price Index Data Visualization Tool - Open in new window/tab
    Data Visualization: 71-607-X2018016
    Description: This interactive dashboard provides access to current and historical Consumer Price Index (CPI) data in a dynamic and customizable format. Key indicators such as the 12-month and 1-month inflation rates and price trends are presented in interactive charts, allowing users to compare and analyze price changes of all the goods and services in the CPI basket over time as well as across geography (national, provincial and territorial levels).

    Other CPI indicators available in this tool include the Bank of Canada’s core measures of inflation, seasonally adjusted inflation rates, and CPI basket weights.

    This web-based application is updated monthly, as soon as the data for the latest reference month is released in The Daily.

    Release date: 2026-05-19
  • 8. New Housing Price Index: Interactive Dashboard - Open in new window/tab
    Data Visualization: 71-607-X2019013
    Description: This web application provides access to new housing prices data for Canada and 27 census metropolitan areas (CMA). The maps, charts and tables draw from information collected from respondents who provide information on Canada's new housing prices. The interactive dashboard allows users to visualize statistics on new housing prices' monthly and annual movements and on rankings by CMAs of the largest monthly price movements.
    Release date: 2026-05-19
  • 9. Wholesale and Retail Services Price Indexes: Interactive Tool - Open in new window/tab
    Data Visualization: 71-607-X2019015
    Description: This dashboard highlights the latest data for the Wholesale Services Price Index (WSPI) and the Retail Services Price Index (RSPI). The WSPI and the RSPI are indicators of change in the price of wholesaling and retailing services in Canada. This price is defined as a margin, which is the difference between the selling price and the purchase price of products sold. With this tool, data users can explore current and historical trends for various types of wholesaling and retailing services. Key indicators such as the latest quarterly and year-over-year (annual) changes, as well as services price trends are presented in interactive charts, allowing users to compare and analyze services price changes over time for different types of services. The interactive tool also allows users to rank subsectors based on their relative importance (2013 weights) to the overall Canadian wholesale or retail sector . This web-based application is updated quarterly, as soon as data for the latest reference period are released in The Daily.
    Release date: 2026-05-19
  • 10. Building permits: Interactive Dashboard - Open in new window/tab
    Data Visualization: 71-607-X2021005
    Description: Building permits: Interactive Dashboard can be used to visualize monthly data or trend analysis of the value of permits issued by Canadian municipalities as well as monthly changes on residential units created. The user can view those data by selecting reference period, geography, type of building structure and value type for seasonal adjustment.
    Release date: 2026-05-19
Data (13,239)

Data (13,239) (150 to 160 of 13,239 results)

Analysis (10,752)

Analysis (10,752) (10,690 to 10,700 of 10,752 results)

  • 10,691. An empirical investigation of an improved method of measuring correlated response variance - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100003
    Description: 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
  • 10,692. Selecting a sample of size n with PPSWOR from a finite population - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100004
    Description: 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
  • 10,693. On the inclusion of large units in simple random sampling - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100005
    Description: 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
  • 10,694. Unbiased estimation of proportions under sequential sampling - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100006
    Description: 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
  • 10,695. 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 Archived
    Articles and reports: 12-001-X197800254832
    Description: 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
  • 10,696. Large scale imputation of survey data - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254833
    Description: 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
  • 10,697. Some methods for updating sample survey frames and their effects on estimation - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254834
    Description: 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
  • 10,698. Alternative estimators in PPS sampling - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254835
    Description: 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
  • 10,699. Non-response and imputation - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254830
    Description: 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
  • 10,700. The evolution of a national statistical agency - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254831
    Description:

    A chronological account of the development of Canada’s central statistical agency is presented in this paper with emphasis on the importance of adapting the organization to the demands of the times.

    Release date: 1978-12-15
Reference (2,027)

Reference (2,027) (100 to 110 of 2,027 results)

  • 101. Guide to the Job Vacancy and Wage Survey, 2024 - Open in new window/tab
    Surveys and statistical programs – Documentation: 75-514-G2024001
    Description: 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
  • 102. Guide to the Job Vacancy and Wage Survey - Open in new window/tab
    Surveys and statistical programs – Documentation: 75-514-G
    Description: 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
  • 103. Regional Discussion Report: Review of First Nations, Métis and Inuit questions for the 2026 Census of Population - Open in new window/tab
    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
  • 104. Regional discussion report: Review of First Nations, Métis and Inuit questions on the census - Open in new window/tab
    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
  • 105. Canadian Research and Development Classification (CRDC) - Open in new window/tab
    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
  • 106. 2026 Census of Population Content Consultation Results: What we heard from Canadians - Open in new window/tab
    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
  • 107. Census Program Content Consultation Report - Open in new window/tab
    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
  • 108. Study on the Underclassification of Children Eligible for Instruction in the Minority Official Language in the 2021 Census - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-26-0008
    Description: 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 Archived
    Surveys and statistical programs – Documentation: 89-657-X2024002
    Description: 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
  • 110. Indigenous Peoples Technical Report, Census of Population - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-307-X
    Description:

    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
Other (1)

Other (1) ((1 result))

  • 1. Data Visualization: Best Practices - Open in new window/tab
    89-26-0005
    Description: 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

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