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All (24,189)

All (24,189) (0 to 10 of 24,189 results)

  • Table: 14-10-0204-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 years.
    Release date: 2024-03-28

  • Table: 14-10-0206-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Average hourly earnings for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 years.
    Release date: 2024-03-28

  • Table: 14-10-0207-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    This table contains 42120 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...);  Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...);  Sex (3 items: Both sexes; Males; Females);  Employment type (3 items: Total, employment type; Paid worker; Self-employed);  Response (9 items: Total, satisfaction with work-home balance; Very satisfied or satisfied; Very satisfied; Satisfied; ...);  Estimates (4 items: Number of persons; Percentage of persons; Low 95% confidence interval, percent; High 95% confidence interval, percent).

    Release date: 2024-03-28

  • Table: 14-10-0208-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Average weekly hours for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 years.
    Release date: 2024-03-28

  • Table: 14-10-0210-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Average hourly earnings (including overtime) for salaried employees, by North American Industry Classification System (NAICS), last 5 years.
    Release date: 2024-03-28

  • Table: 14-10-0212-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Number of hours in a standard work week for salaried employees, by North American Industry Classification System (NAICS), last 5 years.
    Release date: 2024-03-28

  • Table: 13-10-0374-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Every 5 years
    Description: Differences in the number and proportion of persons with and without disabilities, by age group and gender, Canada, provinces and territories.
    Release date: 2024-03-28

  • Table: 13-10-0375-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Every 5 years
    Description: Differences in the number and proportion of persons with disabilities with either mild, moderate, severe, or very severe disabilities, by age group and gender, Canada, provinces and territories.
    Release date: 2024-03-28

  • Table: 13-10-0376-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Every 5 years
    Description: Differences in the type of disabilities persons with disabilities have, by age group and gender, Canada, provinces and territories.
    Release date: 2024-03-28

  • Table: 13-10-0377-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Every 5 years
    Description: Differences between persons with and without disabilities in terms of those who are employed, unemployed, or not in the labour force, by age group and gender, Canada, provinces and territories.
    Release date: 2024-03-28
Data (11,949)

Data (11,949) (0 to 10 of 11,949 results)

  • Table: 14-10-0204-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 years.
    Release date: 2024-03-28

  • Table: 14-10-0206-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Average hourly earnings for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 years.
    Release date: 2024-03-28

  • Table: 14-10-0207-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    This table contains 42120 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...);  Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...);  Sex (3 items: Both sexes; Males; Females);  Employment type (3 items: Total, employment type; Paid worker; Self-employed);  Response (9 items: Total, satisfaction with work-home balance; Very satisfied or satisfied; Very satisfied; Satisfied; ...);  Estimates (4 items: Number of persons; Percentage of persons; Low 95% confidence interval, percent; High 95% confidence interval, percent).

    Release date: 2024-03-28

  • Table: 14-10-0208-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Average weekly hours for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 years.
    Release date: 2024-03-28

  • Table: 14-10-0210-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Average hourly earnings (including overtime) for salaried employees, by North American Industry Classification System (NAICS), last 5 years.
    Release date: 2024-03-28

  • Table: 14-10-0212-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Number of hours in a standard work week for salaried employees, by North American Industry Classification System (NAICS), last 5 years.
    Release date: 2024-03-28

  • Table: 13-10-0374-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Every 5 years
    Description: Differences in the number and proportion of persons with and without disabilities, by age group and gender, Canada, provinces and territories.
    Release date: 2024-03-28

  • Table: 13-10-0375-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Every 5 years
    Description: Differences in the number and proportion of persons with disabilities with either mild, moderate, severe, or very severe disabilities, by age group and gender, Canada, provinces and territories.
    Release date: 2024-03-28

  • Table: 13-10-0376-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Every 5 years
    Description: Differences in the type of disabilities persons with disabilities have, by age group and gender, Canada, provinces and territories.
    Release date: 2024-03-28

  • Table: 13-10-0377-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Every 5 years
    Description: Differences between persons with and without disabilities in terms of those who are employed, unemployed, or not in the labour force, by age group and gender, Canada, provinces and territories.
    Release date: 2024-03-28
Analysis (9,882)

Analysis (9,882) (30 to 40 of 9,882 results)

  • Articles and reports: 11-522-X202200100007
    Description: With the availability of larger and more diverse data sources, Statistical Institutes in Europe are inclined to publish statistics on smaller groups than they used to do. Moreover, high impact global events like the Covid crisis and the situation in Ukraine may also ask for statistics on specific subgroups of the population. Publishing on small, targeted groups not only raises questions on statistical quality of the figures, it also raises issues concerning statistical disclosure risk. The principle of statistical disclosure control does not depend on the size of the groups the statistics are based on. However, the risk of disclosure does depend on the group size: the smaller a group, the higher the risk. Traditional ways to deal with statistical disclosure control and small group sizes include suppressing information and coarsening categories. These methods essentially increase the (mean) group sizes. More recent approaches include perturbative methods that have the intention to keep the group sizes small in order to preserve as much information as possible while reducing the disclosure risk sufficiently. In this paper we will mention some European examples of special focus group statistics and discuss the implications on statistical disclosure control. Additionally, we will discuss some issues that the use of perturbative methods brings along: its impact on disclosure risk and utility as well as the challenges in proper communication thereof.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100008
    Description: The publication of more disaggregated data can increase transparency and provide important information on underrepresented groups. Developing more readily available access options increases the amount of information available to and produced by researchers. Increasing the breadth and depth of the information released allows for a better representation of the Canadian population, but also puts a greater responsibility on Statistics Canada to do this in a way that preserves confidentiality, and thus it is helpful to develop tools which allow Statistics Canada to quantify the risk from the additional data granularity. In an effort to evaluate the risk of a database reconstruction attack on Statistics Canada’s published Census data, this investigation follows the strategy of the US Census Bureau, who outlined a method to use a Boolean satisfiability (SAT) solver to reconstruct individual attributes of residents of a hypothetical US Census block, based just on a table of summary statistics. The technique is expanded to attempt to reconstruct a small fraction of Statistics Canada’s Census microdata. This paper will discuss the findings of the investigation, the challenges involved in mounting a reconstruction attack, and the effect of an existing confidentiality measure in mitigating these attacks. Furthermore, the existing strategy is compared to other potential methods used to protect data – in particular, releasing tabular data perturbed by some random mechanism, such as those suggested by differential privacy.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100009
    Description: Education and training is acknowledged as fundamental for the development of a society. It is a complex multidimensional phenomenon, which determinants are ascribable to several interrelated familiar and socio-economic conditions. To respond to the demand of supporting statistical information for policymaking and its monitoring and evaluation process, the Italian National Statistical Institute (Istat) is renewing the education and training statistical production system, implementing a new thematic statistical register. It will be part of the Istat Integrated System of Registers, thus allowing relating the education and training phenomenon to other relevant phenomena, e.g. transition to work.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100010
    Description: Growing Up in Québec is a longitudinal population survey that began in the spring of 2021 at the Institut de la statistique du Québec. Among the children targeted by this longitudinal follow-up, some will experience developmental difficulties at some point in their lives. Those same children often have characteristics associated with higher sample attrition (low-income family, parents with a low level of education). This article describes the two main challenges we encountered when trying to ensure sufficient representativeness of these children, in both the overall results and the subpopulation analyses.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100011
    Description: In 2021, Statistics Canada initiated the Disaggregated Data Action Plan, a multi-year initiative to support more representative data collection methods, enhance statistics on diverse populations to allow for intersectional analyses, and support government and societal efforts to address known inequalities and bring considerations of fairness and inclusion into decision making. As part of this initiative, we are building the Survey Series on People and their Communities, a new probabilistic panel specifically designed to collect data that can be disaggregated according to racialized group. This new tool will allow us to address data gaps and emerging questions related to diversity. This paper will give an overview of the design of the Survey Series on People and their Communities.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100012
    Description: At Statistics Netherlands (SN) for some economic sectors two partly-independent intra-annual turnover index series are available: a monthly series based on survey data and a quarterly series based on value added tax data for the smaller units and re-used survey data for the other units. SN aims to benchmark the monthly turnover index series to the quarterly census data on a quarterly basis. This cannot currently be done because the tax data has a different quarterly pattern: the turnover is relatively large in the fourth quarter of the year and smaller in the first quarter. With the current study we aim to describe this deviating quarterly pattern at micro level. In the past we developed a mixture model using absolute turnover levels that could explain part of the quarterly patterns. Because the absolute turnover levels differ between the two series, in the current study we use a model based on relative quarterly turnover levels within a year.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100013
    Description: Respondents to typical household surveys tend to significantly underreport their potential use of food aid distributed by associations. This underreporting is most likely related to the social stigma felt by people experiencing great financial difficulty. As a result, survey estimates of the number of recipients of that aid are much lower than the direct counts from the associations. Those counts tend to overestimate due to double counting. Through its adapted protocol, the Enquête Aide alimentaire (EAA) collected in late 2021 in France at a sample of sites of food aid distribution associations, controls the biases that affect the other sources and determines to what extent this aid is used.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100014
    Description: Ethnic minorities are often underrepresented in survey research, due to the challenges many researchers face in including these populations. While some studies discuss several methods in comparison, few have directly compared these methods empirically, leaving researchers seeking to include ethnic minorities in their studies unsure of their best options. In this article, I briefly review the methodological and ethical reasons for increasing ethnic minority representation in social science research, as well as challenges of doing so. I then present findings from ten studies which empirically compare methods of sampling and/or recruiting ethnic minority individuals. Finally, I discuss some implications for future research.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100015
    Description: We present design-based Horvitz-Thompson and multiplicity estimators of the population size, as well as of the total and mean of a response variable associated with the elements of a hidden population to be used with the link-tracing sampling variant proposed by Félix-Medina and Thompson (2004). Since the computation of the estimators requires to know the inclusion probabilities of the sampled people, but they are unknown, we propose a Bayesian model which allows us to estimate them, and consequently to compute the estimators of the population parameters. The results of a small numeric study indicate that the performance of the proposed estimators is acceptable.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100016
    Description: To overcome the traditional drawbacks of chain sampling methods, the sampling method called “network sampling with memory” was developed. Its unique feature is to recreate, gradually in the field, a frame for the target population composed of individuals identified by respondents and to randomly draw future respondents from this frame, thereby minimizing selection bias. Tested for the first time in France between September 2020 and June 2021, for a survey among Chinese immigrants in Île-de-France (ChIPRe), this presentation describes the difficulties encountered during collection—sometimes contextual, due to the pandemic, but mostly inherent to the method.
    Release date: 2024-03-25
Reference (1,885)

Reference (1,885) (50 to 60 of 1,885 results)

  • Surveys and statistical programs – Documentation: 71F0031X
    Description:

    This paper introduces and explains modifications made to the Labour Force Survey estimates.

    Release date: 2023-01-30

  • Surveys and statistical programs – Documentation: 37-20-00012023001
    Description:

    This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are based on the longitudinal Postsecondary Student Information System (PSIS) administrative data files. Statistics Canada has derived a series of annual indicators of public postsecondary students including persistence rates, graduation rates, and average time to graduation by educational qualification, field of study, age group and gender for Canada, the provinces, and the three combined Territories.

    Release date: 2023-01-11

  • Notices and consultations: 92-136-G
    Description:

    As is the case in advance of each Census, content consultations are being held with data users. The Census Content Consultation Guide gives you the opportunity to provide input.

    Release date: 2023-01-09

  • Surveys and statistical programs – Documentation: 98-500-X2021004
    Description: This reference guide provides information to help users effectively use and interpret income data from the 2021 Census. This guide contains definitions and explanations of concepts, questions, classifications, data quality and comparability with other sources for this topic.
    Release date: 2022-12-15

  • Surveys and statistical programs – Documentation: 98-500-X2021013
    Description: This reference guide provides information to help users effectively use and interpret education data from the 2021 Census. This guide contains definitions and explanations of concepts, questions, classifications, data quality and comparability with other sources for this topic.
    Release date: 2022-12-01

  • Surveys and statistical programs – Documentation: 98-301-X
    Description: The Census Dictionary is a reference document which contains detailed definitions of Census of Population concepts, variables and geographic terms, as well as historical information.

    By referring to the Census Dictionary, both beginner and intermediate data users will gain a better understanding of the data and how to compare variables between census years.

    The Census Dictionary will be released iteratively starting with geography and non-data dependent topic definitions, tables, figures and appendices with additional content made available based on subsequent topic releases.

    Release date: 2022-11-30

  • Surveys and statistical programs – Documentation: 98-304-X
    Description:

    The Guide to the Census of Population is a reference document that describes the various phases of the 2021 Census of Population. The guide provides an overview of content determination, sampling design, collection, data processing, data quality assessment, confidentiality guidelines and dissemination. It also includes response rates and other data quality information. This product may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the 2021 Census of Population.

    The Guide to the Census of Population combines information previously available in the Overview of the Census, National Household Survey User Guide and the Data Quality and Confidentiality Standards and Guidelines from 2011. 

    Release date: 2022-11-30

  • Surveys and statistical programs – Documentation: 98-304-X2021001
    Description: The Guide to the Census of Population is a reference document that describes the various phases of the 2021 Census of Population. The guide provides an overview of content determination, sampling design, collection, data processing, data quality assessment, confidentiality guidelines and dissemination. It also includes response rates and other data quality information. This product may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the 2021 Census of Population.
    Release date: 2022-11-30

  • Surveys and statistical programs – Documentation: 98-500-X2016013
    Description:

    This guide focuses on the following topic: education. This reference guide provides information that enables users to effectively use, apply and interpret data from the 2016 Census. This guide contains definitions and explanations of concepts, classifications, data quality and comparability to other sources. Additional information is included for specific variables to help general users better understand the concepts and questions used in the census.

    Release date: 2022-11-30

  • Surveys and statistical programs – Documentation: 98-500-X2021003
    Description:

    This reference guide provides information to help users effectively use and interpret language data from the 2021 Census. This guide contains definitions and explanations of concepts, questions, classifications, data quality and comparability with other sources for this topic.

    Release date: 2022-11-30
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