Science and technology

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: This analysis examines Canadian exporters in 2021 that have been funded by the federal government through Business Innovation and Growth Support (BIGS) programs. More specifically, the following analysis covers Canadian exporters at the enterprise level and examines exporters that were engaged in international merchandise trade only. This study also examines supported exporters compared with supported non-exporters and compared with all Canadian exporters.

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: 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.

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Percentage of enterprises that allow the use of personally-owned devices to carry out regular business-related activities by the North American Industry Classification System (NAICS) and size of enterprise.

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Percentage of enterprises that have a specific number of employees that complete tasks related to cyber security as part of their regular responsibilities by the North American Industry Classification System (NAICS) and size of enterprise.

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Percentage of enterprises that use specific risk management arrangements to manage cyber security risks by the North American Industry Classification System (NAICS) and size of enterprise.

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Average spending on specific measures to prevent or detect cyber security incidents by the North American Industry Classification System (NAICS) and size of enterprise.

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Percentage of enterprises for which multinational organizations were among competitors in the main geographical market, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.

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Percentage of enterprises that introduced product (good or service) innovations that were new to one of their markets, new to this business only, and new to one of their markets and new to this business only, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period.

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Percentage of enterprises that conducted specific innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Innovation activities include research and experimental development; acquisition or development of advanced technology; design activities related to other organizations; employee training specifically for innovation projects; consultation activities with external experts or internal workgroups; activities related to the development and implementation of new marketing methods; market preparation activities directly linked to the introduction of new goods or services; and other innovation activities. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

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Percentage of enterprises for which specific reasons for employing personnel outside Canada were not at all important, somewhat important, important, very important or not applicable, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Reasons for employing personnel outside Canada include: reduced labour costs, reduced costs other than labour costs, access to new markets, increased access to supply chains or regional trade networks, increased sales, proximity to important customers, access to specialized knowledge or technologies, tax or other financial incentives, improved logistics, lack of available labour in Canada and other reasons for employing personnel outside Canada. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

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Percentage of enterprises that moved activities from outside Canada into Canada, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period.

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Percentage of enterprises that moved specific business activities from outside Canada into Canada, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Business activities include production of goods, distribution and logistics services, call and help centre services, marketing and sales services, information and communication technology (ICT) services, professional services, engineering and research and development (R&D) services, general management services, and all other business activities.

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Percentage of enterprises for which specific reasons for bringing production of goods activities to Canada were not at all important, somewhat important, important, very important or not applicable, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to production of goods.

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Percentage of enterprises for which specific reasons for bringing distribution and logistics services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to distribution and logistics services.

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Percentage of enterprises for which specific reasons for bringing call and help centre services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to call and help centre services.

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Percentage of enterprises for which specific reasons for bringing marketing and sales services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to marketing and sales services.

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

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This paper presents an open-source system that was developed for automatic estimation of building height from street-view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that was published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). Some of the obtained results for building-height estimation are presented. Some challenging cases and the scalability of the system are discussed as well.

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This infographic uses data from the Business Innovation and Growth Support and Linkable File Environment. It shows the relative distribution of beneficiaries and value of federal support related to business innovation and growth in 2018 by employment size, revenue size and industry.

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Recent improvements in robotics have rekindled ancient fears about the impact of robotics on humankind. Unfortunately, existing data seldom distinguishes robots from other types of automation, so research into their impact so far has been difficult. This article introduces research from a new Statistics Canada dataset, Robots!, on the impact of robots at the firm-level. The article examines the impact of robot investment on firm performance and employment at the enterprise level.

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Prior to the COVID-19 pandemic, advances in artificial intelligence and robotics raised concerns that automation might lead to relatively high unemployment rates in the coming years. This Economic Insights article examines the degree to which Canadians’ views about the impact of automation on net job creation in 1989 materialized three decades later.

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This infographic describes the invesment in robots in the Canadian economy and its impact on employment.

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

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Recent advances in artificial intelligence have rekindled ancient fears that robots will replace humans in the economy. Previous waves of automation changed but did not reduce labour’s role, but robots’ human-like flexibility could make this time different. Whether or not it will is an empirical question that has lacked suitable data to answer. This paper describes the creation of a dataset to fill the evidence gap in Canada. Robots! is firm-level panel data on robot adoption created using Canadian import data. The data identify a substantial amount of the robot investment in the Canadian economy from 1996 to 2017. Although many robots are imported by robotics wholesalers or programmers for resale, the majority of them can be attributed to their final (direct) adopting firm. The data can be used to study the impact of robot adoption at the economic region, industry or firm-level.

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This study examines how employment and organizations have changed in response to robot adoption. As robotics and artificial intelligence (AI) become increasingly used by firms as the next engine of innovation and productivity growth, their effects on labour, firm practices and productivity have become a subject of growing importance. The study provides the most comprehensive evidence possible at the level of individual businesses on the employment and organizational effects of robot investments.

Description: As the ninth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation by 2030. This 2020 infographic provides an overview of indicators underlying the ninth Sustainable Development Goal in support of industry, innovation and infrastructure, and the statistics and data sources used to monitor and report on this goal in Canada.

Description: Gross domestic expenditure on research and development (GERD) is a statistical series, constructed by adding together the intramural expenditures on research and development (R&D) as reported by the performing sectors.

Description: This survey collects information related to research and development (R&D) in post secondary institutions in Canada, in particular information related to faculty teaching, research, administration and service. The data from the survey is an important component in estimating higher education research and development expenditures (HERD).

Description: This survey measures the general familiarity of owners and managers of enterprises across selected industries with intellectual property (IP). The purpose of collecting this information is to help evaluate impacts of Canadian Government programs to educate and raise awareness on the value of intellectual property.

Description: The survey on Research Activities and Commercialization of Intellectual Property in Higher Education collects information on how research conducted and produced in the higher education sector is transferred to the private sector.