Science and technology

Description: Gross domestic expenditures on research and development, by funder, performer, science type and prices for provinces, territories and selected regions from 1963 to today.

Description: Expenditures on research and development (R&D) by performing sectors. This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Description: Provincial estimates of research and development expenditures in the higher education sector, by funding sector and type of science by provinces, from 2000 to today.

Description: This research study examines the economic impact of the semiconductor industry in Canada in 2020 as it relates to several economic concepts, such as sales and revenue, employment, research and development, and international trade. The study is based on a custom list of 561 firms in the industry provided by Innovation, Science and Economic Development Canada.

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The number of enterprises and the value of support to enterprises broken down into eight employment size categories ranging from 0-4 employees to 500 employees or more.

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The number of enterprises and the value of support to enterprises broken down into nine revenue size categories ranging from 0$ to $250,000 to $500,000,000 or greater.

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The number of enterprises and the value of support to enterprises broken down into various industries of the North American Industrial Classification System (NAICS).

Description: Total domestic expenditures on research and development (R&D) as percentage of gross domestic product (GDP). This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Description: Percentage of total research and development (R&D) expenditure by performing sector. This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Description: Sources of funds for expenditures on research and development (R&D) in the higher education sector. This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Description: This dashboard shows traffic count data that is obtained from traffic camera imagery using a computer vision-based system developed at the Data Exploration and Integration Lab (DEIL) at Statistics Canada. The system periodically pulls traffic imagery from the Application Programmable Interfaces (APIs) of municipal and provincial traffic camera programs. Vehicle detection was implemented using the open source You Only Look Once version 3 (YOLOv3) object detection model that was trained on the Common Objects in Context (COCO) dataset. The output of the model is used to generates real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).

Description: The Census of Environment Geospatial Explorer is web GIS application that lets users visualize thematic maps of Statistics Canada data tables published in the context of the Census of Environment. The application reads statistical data from the Common Output Data Repository (CODR) using Statistics Canada Web Data Services (WDS) and joins them with geospatial data to build and display thematic maps to the user.

Description: Personnel engaged in research and development, by performing sector, occupational category and type of science for Canada from 2000 to today.

Description: Provincial distribution of personnel engaged in research and development, by performing sector and occupational category for provinces and territories from 2000 to today.

Description: Value or potential value created by Generative AI, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2024.

Description: Annual international imports and exports estimates of the environmental and clean technology products sector, per trading partner, for Canada, provinces and territories.

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Percentage of enterprises that co-operated on innovation activities with other businesses or organizations, located in Canada, the United States of America or the rest of the world by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Innovation co-operation is active participation with other businesses or organizations on innovation activities. These activities do not need to have commercial benefit, and exclude contracting out. Innovation co-operation partners include parent, affiliated or subsidiary businesses; suppliers of equipment, materials, components or software; clients or customers from the private sector; clients or customers from the public sector; competitors or other businesses in the sector; consultants and commercial laboratories; universities, colleges or other higher education institutions; government, public or private research institutes; and other co-operation partners.

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Percentage of enterprises for which a specific type of innovation co-operation partner was the most critical for the business's innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Innovation co-operation partners include parent, affiliated or subsidiary businesses; suppliers of equipment, materials, components or software; clients or customers from the private sector; clients or customers from the public sector; competitors or other businesses in the sector; consultants and commercial laboratories; universities, colleges or other higher education institutions; government, public or private research institutes; and other co-operation partners.

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Percentage of enterprises that made use of government programs to aid innovation-related activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Government programs include tax incentive or tax credit programs, grants and contributions programs, training and hiring programs, procurement, and other government programs.

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Percentage of enterprises for which a specific type of government program was the most critical for the business's innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Government programs include tax incentive or tax credit programs, grants and contributions programs, training and hiring programs, procurement, and other government programs.

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Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.

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This publication reports on scientific and technological (S&T) activities involving the generation, dissemination and application of new scientific and technological knowledge, for the provincial governments of: Newfoundland and Labrador, Prince Edward Island, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

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This series, which consists of about six issues per year, presents a variety of science and technology statistics. Each issue concerns a different topic, for example: research and development expenditures and personnel in business enterprises, science and technology expenditures and personnel in the federal government or provincial governments; and estimates of higher education expenditures on research and development.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

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This working paper profiles Canadian firms involved in the development and production of Bioproducts. It provides data on the number and types of Bioproducts firms in 2009, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.

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Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

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This survey collects data to monitor science and technology related activities in Canada and to support the development of science and technology policy.

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The higher education sector is composed of all universities, colleges of technology and other institutes of postsecondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments.

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This bulletin reports on scientific and technological (S&T) activities involving the generation, dissemination and application of new scientific and technological knowledge for the provincial governments of New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

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The concordance table provides a link between data tables and the survey questions from the Survey of Innovation and Business Strategy (SIBS).

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 is the 2020 version 1.0. The CRDC will be revised within 2 years of its first release and on a five-year cycle after that, with possibility of 'evergreening' for minor changes once a year to reflect the changes in the research fields. CRDC 2020 version 1.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1663 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).

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Summary of the technical workshop on Estimates of Research and Development in the Higher Education Sector (HERD), held in Ottawa on October 16, 2009. Data users and experts from universities and colleges, granting councils and provincial and federal government departments proposed general and detailed recommendations for the methodology applied in estimating the HERD.

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The issue of biotechnology in agriculture has generated much debate. This activity is designed to help students better understand biological systems for producing materials and their advantages over synthetic systems.

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This activity looks at the different ways in which technology is used on the farm.

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This report focusses on new studies that analyse information and communications technology industries, science-based industries, high-technology industries and firms, the knowledge-based economy, and knowledge workers.

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Statistics Canada's annual Economic Conference provides a forum for the exchange of empirical research among business, government, research and labour communities. The conference is also a means to promote economic and socio-economic analyses while subjecting existing data to critical assessment as part of an ongoing process of statistical development and review. This year's theme was Innovation in an Evolving Economy. At the May 6-7, 2002 conference there were 12 presentations, based directly on the analysis of Science, Innovation and Electronic Information Division (SIEID) data. These presentations were given by SIEID analysts, by Statistics Canada analysts in other groups, by facilitated access researchers and by analysts using published or commissioned estimates.

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The Quebec Institute of Statistics hosted a forum for Statistics Canada and provincial government experts dealing with the subject of science and technology statistics.

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This paper describes the experiences, the issues and the expectations of the many different players involved in the implementation of document imaging for the Canadian Census of Agriculture.

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Statistics Canada is engaged in a project "Information System for Science and Technology" which purpose is to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The Working papers series is used to publish results of the different initiatives conducted within this project. The produced data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents important data tabulations taken from regular surveys on R&D and S&T and made possible because of the existing Project.