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- Survey on Savings for Persons with Disabilities (1)
- COVID-19 epidemiological reports (1)
- Impacts of COVID-19 on Canadian Victim Services (1)
- Survey of Monthly Credit Aggregates (1)
- Impacts of COVID-19 on Health Care Workers: Infection Prevention and Control (ICHCWIPC) (1)
- Survey on Mental Health and Stressful Events (SMHSE) (1)
- Nursing and Residential Care Facility Survey (NRCFS) (1)
- Survey on Before and After School Care in Canada (1)
- COVID-19 Vaccination Coverage Survey (1)
- House of Commons Canada (1)
- Provincial and Territorial Culture Indicators (1)
- Provincial and Territorial Tourism Satellite Account (1)
- Natural Resources Indicators (NRI) (1)
- Covid 19 Restrictions indexes; Daily (1)
- Covid 19 Restrictions indexes; Monthly (1)
- ESDC Employee Wellness Survey (1)
- Indigenous Peoples Economic Account (IPEA) (1)
- Canada Revenue Agency (1)
- Natural Resources Canada (1)
- Natural Resources Canada (Glaciers) (1)
Results
All (9,968)
All (9,968) (60 to 70 of 9,968 results)
- Journals and periodicals: 89-654-XDescription: The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem.Release date: 2024-05-28
- Stats in brief: 11-001-X202414823725Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-27
- Stats in brief: 11-001-X202414834943Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-27
- Stats in brief: 11-627-M2024025Description: From April 2nd to May 6th, 2024, Statistics Canada conducted the Canadian Survey on Business Conditions. The purpose of this survey is to collect information on businesses in Canada related to emerging issues. This infographic presents key results from this.Release date: 2024-05-27
- Stats in brief: 11-001-X202414524744Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-24
- Stats in brief: 11-001-X20241453682Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-24
- Articles and reports: 75-006-X202400100004Description: Using data from the 2021 Census, this study investigates the financial impact of the COVID-19 pandemic on racialized workers, focusing on the change in median employment income from 2019 to 2020, and the extent to which payments from the Canada Emergency Response Benefit offset income losses in 2020 among workers affected by the pandemic. Differences between racialized and non-racialized workers are investigated, along with differences among groups of racialized workers, as well as the intersectionality of race and gender.Release date: 2024-05-23
- Stats in brief: 11-001-X20241442896Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-23
- Journals and periodicals: 11-632-XDescription: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.Release date: 2024-05-23
- Journals and periodicals: 75-006-XGeography: CanadaDescription: This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.Release date: 2024-05-23
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Stats in brief (2,662)
Stats in brief (2,662) (50 to 60 of 2,662 results)
- Stats in brief: 11-001-X202413029863Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-09
- Stats in brief: 11-001-X202412938307Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-08
- Stats in brief: 45-20-00032024003Description: Are you feeling like it's a little bit harder to bring home the bacon... from the grocery store? The latest data indicate that food prices have mostly stabilized... but why does it feel like the cost of feeding your family is still going up? Today, we're talking food inflation with StatCan's resident smart cookie Taylor Mitchell.Release date: 2024-05-08
- Stats in brief: 11-627-M2024021Description: This infographic focuses on innovation and business strategy in Canada, based on data from the 2022 Survey of Innovation and Business Strategy. It presents the long-term strategy for innovative businesses and non-innovative businesses, the innovation rate and intellectual property(IP) ownership for multinational businesses and non-multinational businesses, the competition, and the skill shortages in Canadian businesses.Release date: 2024-05-08
- Stats in brief: 11-001-X202412318843Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-02
- Stats in brief: 11-001-X202412217623Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-01
- Stats in brief: 11-001-X20241224824Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-01
- Stats in brief: 11-001-X20241214881Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-04-30
- Stats in brief: 11-627-M2024016Description: This infographic uses data from the 2018 and 2022 Canadian Internet Use Survey to examine patterns and trends in online banking by population groups.Release date: 2024-04-30
- Stats in brief: 11-001-X2024120951Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-04-29
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Articles and reports (6,983)
Articles and reports (6,983) (60 to 70 of 6,983 results)
- Articles and reports: 11-522-X202200100001Description: Record linkage aims at identifying record pairs related to the same unit and observed in two different data sets, say A and B. Fellegi and Sunter (1969) suggest each record pair is tested whether generated from the set of matched or unmatched pairs. The decision function consists of the ratio between m(y) and u(y),probabilities of observing a comparison y of a set of k>3 key identifying variables in a record pair under the assumptions that the pair is a match or a non-match, respectively. These parameters are usually estimated by means of the EM algorithm using as data the comparisons on all the pairs of the Cartesian product ?=A×B. These observations (on the comparisons and on the pairs status as match or non-match) are assumed as generated independently of other pairs, assumption characterizing most of the literature on record linkage and implemented in software tools (e.g. RELAIS, Cibella et al. 2012). On the contrary, comparisons y and matching status in ? are deterministically dependent. As a result, estimates on m(y) and u(y) based on the EM algorithm are usually bad. This fact jeopardizes the effective application of the Fellegi-Sunter method, as well as automatic computation of quality measures and possibility to apply efficient methods for model estimation on linked data (e.g. regression functions), as in Chambers et al. (2015). We propose to explore ? by a set of samples, each one drawn so to preserve independence of comparisons among the selected record pairs. Simulations are encouraging.Release date: 2024-03-25
- Articles and reports: 11-522-X202200100002Description: The authors used the Splink probabilistic linkage package developed by the UK Ministry of Justice, to link census data from England and Wales to itself to find duplicate census responses. A large gold standard of confirmed census duplicates was available meaning that the results of the Splink implementation could be quality assured. This paper describes the implementation and features of Splink, gives details of the settings and parameters that we used to tune Splink for our particular project, and gives the results that we obtained.Release date: 2024-03-25
- Articles and reports: 11-522-X202200100003Description: Estimation at fine levels of aggregation is necessary to better describe society. Small area estimation model-based approaches that combine sparse survey data with rich data from auxiliary sources have been proven useful to improve the reliability of estimates for small domains. Considered here is a scenario where small area model-based estimates, produced at a given aggregation level, needed to be disaggregated to better describe the social structure at finer levels. For this scenario, an allocation method was developed to implement the disaggregation, overcoming challenges associated with data availability and model development at such fine levels. The method is applied to adult literacy and numeracy estimation at the county-by-group-level, using data from the U.S. Program for the International Assessment of Adult Competencies. In this application the groups are defined in terms of age or education, but the method could be applied to estimation of other equity-deserving groups.Release date: 2024-03-25
- 64. Labour Force Survey initiatives under Statistics Canada’s Disaggregated Data Action Plan ArchivedArticles and reports: 11-522-X202200100004Description: In accordance with Statistics Canada’s long-term Disaggregated Data Action Plan (DDAP), several initiatives have been implemented into the Labour Force Survey (LFS). One of the more direct initiatives was a targeted increase in the size of the monthly LFS sample. Furthermore, a regular Supplement program was introduced, where an additional series of questions are asked to a subset of LFS respondents and analyzed in a monthly or quarterly production cycle. Finally, the production of modelled estimates based on Small Area Estimation (SAE) methodologies resumed for the LFS and will include a wider scope with more analytical value than what had existed in the past. This paper will give an overview of these three initiatives.Release date: 2024-03-25
- 65. Application of sampling variance smoothing methods for small area proportion estimation ArchivedArticles and reports: 11-522-X202200100005Description: Sampling variance smoothing is an important topic in small area estimation. In this paper, we propose sampling variance smoothing methods for small area proportion estimation. In particular, we consider the generalized variance function and design effect methods for sampling variance smoothing. We evaluate and compare the smoothed sampling variances and small area estimates based on the smoothed variance estimates through analysis of survey data from Statistics Canada. The results from real data analysis indicate that the proposed sampling variance smoothing methods work very well for small area estimation.Release date: 2024-03-25
- 66. ABS DataLab output checking tools ArchivedArticles and reports: 11-522-X202200100006Description: The Australian Bureau of Statistics (ABS) is committed to improving access to more microdata, while ensuring privacy and confidentiality is maintained, through its virtual DataLab which supports researchers to undertake complex research more efficiently. Currently, the DataLab research outputs need to follow strict rules to minimise disclosure risks for clearance. However, the clerical-review process is not cost effective and has potential to introduce errors. The increasing number of statistical outputs from different projects can potentially introduce differencing risks even though these outputs from different projects have met the strict output rules. The ABS has been exploring the possibility of providing automatic output checking using the ABS cellkey methodology to ensure that all outputs across different projects are protected consistently to minimise differencing risks and reduce costs associated with output checking.Release date: 2024-03-25
- Articles and reports: 11-522-X202200100007Description: 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-X202200100008Description: 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-X202200100009Description: 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
- 70. Children born into vulnerability: Challenges encountered in a Quebec longitudinal survey ArchivedArticles and reports: 11-522-X202200100010Description: 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
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Journals and periodicals (323)
Journals and periodicals (323) (40 to 50 of 323 results)
- Table: 57-003-XDescription: This publication presents energy balance sheets in natural units and heat equivalents in primary and secondary forms, by province. Each balance sheet shows data on production, trade, interprovincial movements, conversion and consumption by sector. Analytical tables and details on non-energy products are also included. It includes explanatory notes, a historical energy summary table and data analysis. The publication also presents data on natural gas liquids, electricity generated from fossil fuels, solid wood waste and spent pulping liquor.Release date: 2023-11-20
- Journals and periodicals: 98-20-0003Description: Once every five years, the Census of Population provides a detailed and comprehensive statistical portrait of Canada that is vital to our country. It is the primary source of sociodemographic data for specific population groups such as lone-parent families, Indigenous peoples, immigrants, seniors and language groups.
In order to help users of census products to better understand the various Census of Population concepts, Statistics Canada has developed, in the context of the activities of the 2021 Census and previous censuses, a collection of short videos. These videos are a reference source for users who are new to census concepts or those who have some experience with these concepts, but may need a refresher or would like to expand their knowledge.
Release date: 2023-11-15 - Journals and periodicals: 45-26-0001Description: The Departmental Sustainable Development Strategy (DSDS) outlines departmental actions, with measurable performance indicators, that support the implementation strategies of the 2022-2026 Federal Sustainable Development Strategy. The DSDS further outlines Statistics Canada’s sustainable development vision to produce data to help track whether Canada is moving toward a more sustainable future and highlights projects with links to supporting sustainable development goals.Release date: 2023-11-14
- Journals and periodicals: 62F0026MDescription: This series provides detailed documentation on the issues, concepts, methodology, data quality and other relevant research related to household expenditures from the Survey of Household Spending, the Homeowner Repair and Renovation Survey and the Food Expenditure Survey.Release date: 2023-10-18
- Journals and periodicals: 12-206-XDescription: This report summarizes the annual achievements of the Methodology Research and Development Program (MRDP) sponsored by the Modern Statistical Methods and Data Science Branch at Statistics Canada. This program covers research and development activities in statistical methods with potentially broad application in the agency’s statistical programs; these activities would otherwise be less likely to be carried out during the provision of regular methodology services to those programs. The MRDP also includes activities that provide support in the application of past successful developments in order to promote the use of the results of research and development work. Selected prospective research activities are also presented.Release date: 2023-10-11
- Journals and periodicals: 16-001-MDescription: The series covers environment accounts and indicators, environmental surveys, spatial environmental information and other research related to environmental statistics. The technical paper series is intended to stimulate discussion on a range of environmental topics.Release date: 2023-09-13
- 47. AviationTable: 51-004-XDescription: This bulletin presents the most up-to-date available information extracted from all of the Aviation Statistics Centre's surveys. Regular features include releases on principal statistics for Canada's major air carriers, airport data, fare basis statistics and traffic data for Canada's most important markets.Release date: 2023-07-28
- Journals and periodicals: 21-006-XGeography: CanadaDescription: This series of analytical articles provides insights on the socio-economic environment in rural communities in Canada. New articles will be released periodically.Release date: 2023-07-24
- Journals and periodicals: 89-20-0006Description: Statistics Canada is committed to sharing our knowledge and expertise to help all Canadians develop their data literacy skills by developing a series of data literacy training resources. Data literacy is a key skill needed in the 21st century. It is generally described as the ability to derive meaning from data. Data literacy focuses on the competencies or skills involved in working with data, including the ability to read, analyze, interpret, visualize data, as well as to drive good decision-making.Release date: 2023-07-17
- Journals and periodicals: 81-599-XGeography: CanadaDescription: The fact sheets in this series provide an "at-a-glance" overview of particular aspects of education in Canada and summarize key data trends in selected tables published as part of the Pan-Canadian Education Indicators Program (PCEIP).
The PCEIP mission is to publish a set of statistical measures on education systems in Canada for policy makers, practitioners and the general public to monitor the performance of education systems across jurisdictions and over time. PCEIP is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada (CMEC).
Release date: 2023-06-21
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