Science and technology

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Data (494)

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  • Data Visualization: 71-607-X2020010
    Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.
    Release date: 2024-08-21

  • Data Visualization: 71-607-X2022018
    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).
    Release date: 2024-08-15

  • Table: 33-10-0175-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    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.

    Release date: 2024-07-31

  • Table: 33-10-0179-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    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.

    Release date: 2024-07-31

  • Table: 33-10-0184-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    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).

    Release date: 2024-07-31

  • Table: 33-10-0198-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    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).

    Release date: 2024-07-31

  • Table: 33-10-0199-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    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.

    Release date: 2024-07-31

  • Table: 33-10-0200-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    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.

    Release date: 2024-07-31

  • Table: 33-10-0201-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    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.

    Release date: 2024-07-31

  • Table: 33-10-0202-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    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.

    Release date: 2024-07-31
Analysis (534)

Analysis (534) (40 to 50 of 534 results)

  • Articles and reports: 11-626-X2020024
    Description:

    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.

    Release date: 2020-11-02

  • Articles and reports: 11-626-X2020025
    Description:

    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.

    Release date: 2020-11-02

  • Stats in brief: 11-627-M2020075
    Description:

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

    Release date: 2020-11-02

  • Articles and reports: 11-633-X2020004
    Description:

    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.

    Release date: 2020-11-02

  • Articles and reports: 11-637-X202000100009
    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.
    Release date: 2020-10-20

  • Stats in brief: 11-627-M2020072
    Description:

    This infographic provides an overview of the Canadian Research and Development Classification (CRDC), a national standard jointly developed by the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC), and Statistics Canada.

    Release date: 2020-10-05

  • Articles and reports: 11F0019M2020015
    Description:

    Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.

    Release date: 2020-09-24

  • Stats in brief: 45-28-0001202000100033
    Description:

    Over the past few decades, computer technology has gradually changed workplaces, leading to a reduction of routine and manual job tasks, and an increase in non-routine, cognitive tasks. More recent developments in artificial intelligence and machine learning could be even more far-reaching, as they are designed to execute tasks that were traditionally considered non-automatable.

    Release date: 2020-06-29

  • Stats in brief: 11-001-X202018122563
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-06-29

  • Articles and reports: 11F0019M2020011
    Description:

    The recent development of several artificial intelligence applications—such as driverless vehicles, robo-writers and computer-aided medical diagnostics—has led to concerns about the role of human workers in the future workforce. The COVID-19 pandemic has added to these concerns, as businesses may turn to new artificial intelligence technologies to perform work activities not traditionally regarded as automatable, such as social tasks. While previous studies have estimated the share of Canadian workers at high risk of automation-related job transformation, this study is the first to examine in great detail the automation risks faced by different groups of workers.

    Release date: 2020-06-29
Reference (43)

Reference (43) (40 to 50 of 43 results)

  • Surveys and statistical programs – Documentation: 5198
    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.

  • Surveys and statistical programs – Documentation: 5216
    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).

  • Surveys and statistical programs – Documentation: 5291
    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.

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