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All (24,682)

All (24,682) (0 to 10 of 24,682 results)

  • Articles and reports: 85-002-X202400100007
    Description: This Juristat article provides updated information on how incidents of sexual assault proceed through the criminal justice system, from police to courts. It also focuses on the characteristics of these incidents, victims, and accused persons that are associated with different outcomes at various stages of the process.
    Release date: 2024-11-06

  • Stats in brief: 11-627-M2024049
    Description: The infographic presents data on Canadian Veterans with disabilities, including the types of disabilities, prevalence amongst age groups, potential causes, unmet needs for assistive aids, devices or technologies, and the proportion of Veterans receiving disability benefits.
    Release date: 2024-11-06

  • Stats in brief: 11-627-M2024050
    Description: Utilizing data from the 2022 Canadian Survey on Disability, this infographic highlights the trends and experiences of persons with pain-related disabilities. This release is part of a series of infographics that focus on specific disability types.
    Release date: 2024-11-06

  • Stats in brief: 11-627-M2024051
    Description: This infographic provides information on how incidents of sexual assault proceed through the criminal justice system, from police to courts.
    Release date: 2024-11-06

  • Data Visualization: 71-607-X2024005
    Description: This interactive dashboard provides access to current and historical average price data for selected food products in a dynamic and customizable format. The price data is available for Canada and the provinces. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

    This web-based application is updated monthly, as soon as the data for the latest reference month is released in The Daily.
    Release date: 2024-11-06

  • Stats in brief: 11-001-X202431123765
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-11-06

  • Stats in brief: 11-001-X202431138526
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-11-06

  • Stats in brief: 11-001-X202431139281
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-11-06

  • Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2024-11-06

  • Data Visualization: 71-607-X
    Description: 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: 2024-11-06
Data (12,185)

Data (12,185) (0 to 10 of 12,185 results)

  • Data Visualization: 71-607-X2024005
    Description: This interactive dashboard provides access to current and historical average price data for selected food products in a dynamic and customizable format. The price data is available for Canada and the provinces. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

    This web-based application is updated monthly, as soon as the data for the latest reference month is released in The Daily.
    Release date: 2024-11-06

  • Data Visualization: 71-607-X
    Description: 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: 2024-11-06

  • Table: 10-10-0127-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 6 series, with data starting from 1951 (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 ...), Type of reserve (6 items: Convertible foreign currencies; other than United States; Total; Canada's official international reserves; Gold; Convertible foreign currencies; United States dollars ...).
    Release date: 2024-11-06

  • 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: 2024-11-06

  • Table: 10-10-0141-01
    Geography: Canada
    Frequency: Daily
    Description: This table contains 6 series, with data starting from 1999 (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 reserve (6 items: Total, Canada's official international reserves; Convertible foreign currencies, United States dollars;Convertible foreign currencies, other than United States; Gold; ...).
    Release date: 2024-11-06

  • Table: 18-10-0245-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Monthly average retail prices for selected products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.
    Release date: 2024-11-06

  • Table: 18-10-0245-02
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Monthly average retail prices for selected food products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.
    Release date: 2024-11-06

  • Table: 21-10-0060-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of automotive repair and maintenance (NAICS 8111), annual, for five years of data.
    Release date: 2024-11-06

  • Table: 21-10-0061-01
    Geography: Canada
    Frequency: Annual
    Description: The operating expenses by North American Industry Classification System (NAICS) which include all members under industry expenditures, for automotive repair and maintenance (NAICS 81111, 81112 and 81119), annual (percent), for five years of data.
    Release date: 2024-11-06

  • Table: 21-10-0062-01
    Geography: Canada
    Frequency: Annual
    Description: The sales by type of client based on the North American Industry Classification System (NAICS) which include all members under type of client, for automotive repair and maintenance (NAICS 81111, 81112 and 81119), annual, for five years of data.
    Release date: 2024-11-06
Analysis (10,087)

Analysis (10,087) (9,950 to 9,960 of 10,087 results)

  • Articles and reports: 12-001-X198700214607
    Description:

    Household surveys generally use separate procedures for estimating characteristics of persons and those of families. An integrated procedure is proposed and a least-squares estimator introduced to achieve this end. The estimator is shown to be unbiased under certain general conditions. Using data from the Canadian Labour Force Survey, variances for the estimator are calculated and shown to compare favourably to those from current procedures.

    Release date: 1987-12-15

  • Articles and reports: 12-001-X198700214608
    Description:

    A hybrid technique is described that employs both conventional and raking ratio estimation to handle the case when the population frequencies N_ij in a two-dimensional table are known, but some of the observed frequencies n_ij are small (or zero). Results are provided on the approach taken as it has evolved in the Corporate Statistics of Income Program over the last several years. Changes are still being considered and these will be discussed as well.

    Release date: 1987-12-15

  • Articles and reports: 12-001-X198700214609
    Description:

    The Hansen-Hurwitz (1943) strategy is known to be inferior to the Horvitz-Thompson (1952) strategy associated with a number of IPPS (inclusion probability proportional to size) sampling procedures. The present paper presents a simpler proof of these results and therefore has some pedagogic interest.

    Release date: 1987-12-15

  • Articles and reports: 12-001-X198700114465
    Description:

    The two-stage rejection rule telephone sample design described by Waksberg (1978) is modified to improve the efficiency of telephone surveys of the U.S. Black population. Experimental tests of sample design alternatives demonstrate that: a) use of rough stratification based on telephone exchange names and states; b) use of large cluster definitions (200 and 400 consecutive numbers) at the first stage; and c) rejection rules based on racial status of the household combine to offer improvements in the relative precision of a sample, given fixed resources. Cost and error models are examined to simulate design alternatives.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114466
    Description:

    This paper presents results from methodological experiments comparing telephone and face-to-face interviewing in surveys of the general population. The relatively low level of telephone ownership in the United Kingdom, especially among the less privileged, argues the need for a dual-mode approach combining telephone interviews with face-to-face interviews for those without telephones. This approach depends on the absence of differential mode-effects on the answers obtained or on the ability to account for these effects when they occur.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114467
    Description:

    Demands for statistics on all aspects of our lives, our society and our economy continue to grow. At the same time statistical agencies share with many respondents a growing concern over the mounting burden of response to surveys. One result of the search for alternative methods of satisfying statistical demands has been an increased emphasis on the use of administrative records for statistical purposes. This paper reviews recent experience at Statistics Canada in this area and discusses obstacles to the greater use of administrative records. Approaches to rendering administrative systems more useful for statistical purposes are reviewed, together with some important concerns related to information protection and record linkage.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114468
    Description:

    The National Agricultural Statistics Service, U.S. Department of Agriculture, conducts yield surveys for a variety of field crops in the United States. While field sampling procedures for various crops differ, the same basic survey design is used for all crops. The survey design and current estimators are reviewed. Alternative estimators of yield and production and of the variance of the estimators are presented. Current estimators and alternative estimators are compared, both theoretically and in a Monte Carlo simulation.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114509
    Description:

    This paper discusses three problems that have been a major preoccupation among researchers and practitioners of seasonal adjustment in statistical bureaus for the last ten years. These problems are: (l) the use of concurrent seasonal factors versus seasonal factor forecasts for current seasonal adjustment; (2) finding an optimal pattern of revisions for series seasonally adjusted with concurrent factors; and (3) smoothing highly irregular seasonally adjusted data.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114510
    Description:

    The method of minimum Q^(T) estimation for complex survey designs proposed by Singh (1985) provides asymptotically efficient estimates of model parameters analogous to Neyman’s (1949) min X^2 estimation procedure for simple random samples. The Q^(T) can be viewed as a X^2 type statistic for categorical survey data, and min Q^(T) estimates provide a robust alternative to Weighted Least Squares estimates, which often display unstable behaviour for complex surveys. In this paper, the min Q^(T) method is first described and then illustrated for the problem of estimating parameters of a logit model for survey estimates of unemployment rates which are obtained from the October 1980 Canadian LFS data cross-classified according to age-education covariate categories. It is seen that the trace efficiency of smoothed estimates obtained by Kumar and Rao (1986), who applied the method of pseudo maximum likelihood estimates (pseudo mle) to the same problem can be slightly improved by the min Q^(T) method. Interestingly enough, pseudo mle for individual cells behave much the same way as the efficient min Q^(T) estimates for the particular LFS example.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114511
    Description:

    A new unequal probability sampling scheme for selecting n(> 2) units without replacement from a finite population is proposed. This scheme ensures that the inclusion probabilities are proportional to sizes. It has the advantage of simplicity in selection and estimation and also provides a non-negative variance estimator. The variance of the Horvitz-Thompson (H-T) estimator under the proposed scheme is shown to be smaller than that of the customary estimator in probability proportional to size sampling with replacement. The proposed scheme also compares favourably with the without replacement scheme suggested by Sampford (1967) in an empirical study on a few natural populations.

    Release date: 1987-06-15
Reference (1,936)

Reference (1,936) (20 to 30 of 1,936 results)

  • Surveys and statistical programs – Documentation: 91-620-X
    Description: 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-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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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
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