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  • Data Visualization: 71-607-X2024003
    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.
    Release date: 2024-03-22

  • 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: 2024-03-18

  • Stats in brief: 11-627-M2024011
    Description: This infographic examines Canadian exporters in 2021 that have been funded by the federal government through Business Innovation and Growth Support (BIGS) programs. Data is presented by program, countries of export, industry and comparison highlights.
    Release date: 2024-03-15

  • Stats in brief: 11-627-M2024013
    Description: This infographic focuses on product and business process innovation introduced by Canadian businesses during the 2020-2022 period, based on data from the 2022 Survey of Innovation and Business Strategy. It presents the rate of innovation among Canadian businesses, the most common obstacles to innovation reported by businesses, the prevalent types of intellectual property (IP) protection filed by innovation businesses that developed new products, and the role of government support for innovation.
    Release date: 2024-03-12

  • Table: 27-10-0022-01
    Geography: Canada
    Frequency: Annual
    Description: Personnel engaged in research and development, by performing sector, occupational category and type of science for Canada from 2000 to today.
    Release date: 2024-03-12

  • Table: 27-10-0023-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Annual
    Description: Provincial distribution of personnel engaged in research and development, by performing sector and occupational category for provinces and territories from 2000 to today.
    Release date: 2024-03-12

  • Articles and reports: 36-28-0001202400200001
    Description: This paper presents a profile of Canadian women inventors who patent in Canada, based on a rigorous matching methodology and a comprehensive linked dataset that allows examination of not only patent applications, but also various demographic and business characteristics associated with inventors. Using data on patent applications from the Canadian Intellectual Property Office, linked to the Canadian Employer–Employee Dynamics Database from 2005 to 2019, this research seeks to answer the following questions: Who are the women inventors in Canada? What are their demographic characteristics? In what types of businesses do they work? How many are entrepreneurs?
    Release date: 2024-02-28

  • Table: 33-10-0785-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    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.
    Release date: 2024-02-26

  • Table: 36-10-0646-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Annual international imports and exports estimates of the environmental and clean technology products sector, per trading partner, for Canada, provinces and territories.
    Release date: 2024-02-26

  • Stats in brief: 11-001-X20240514881
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-02-20
Data (485)

Data (485) (420 to 430 of 485 results)

Analysis (525)

Analysis (525) (20 to 30 of 525 results)

  • Articles and reports: 11-621-M2021003
    Description:

    This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2018, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.

    Release date: 2021-05-07

  • Articles and reports: 18-001-X2021001
    Description:

    The federal government offers business innovation and growth support through program streams managed by its departments and agencies. In 2017, enterprises in the manufacturing sector accounted for almost one-quarter of the beneficiaries of this support and received almost one-third of the total value of support (Statistics Canada, 2020). The objective of this analysis is to assess the impact of federal growth and innovation support on the employment and revenue of beneficiary enterprises in the manufacturing sector between 2007 and 2017. This analysis suggests that enterprises that received federal support for growth and innovation experienced stronger employment and revenue growth relative to non-beneficiary enterprises. Over the three years following receipt of support, employment growth for beneficiary enterprises averaged 1.8% per year while, on average, enterprises that did not receive support experienced employment declines. Over the same period, the average annual revenue growth of beneficiary enterprises was higher than that of non-beneficiary enterprises by 4.6 percentage points.

    Release date: 2021-04-29

  • Articles and reports: 36-28-0001202100200003
    Description:

    Over the past two decades, Canadians have embraced digital technologies at an unprecedented pace and breadth. The objective of this study is to develop statistical indexes to measure the intensity of digitalization in Canadian industries. Because of the ubiquitous presence of digitalization and businesses’ and individuals’ increasing reliance on digital products and services, it is essential to measure the digitalization in the Canadian economy to better understand its impact so that governments, businesses and other stakeholders can make informed decisions.

    Release date: 2021-02-24

  • Stats in brief: 11-001-X202105528723
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-02-24

  • Stats in brief: 11-001-X202104922343
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-02-18

  • Articles and reports: 36-28-0001202100100004
    Description:

    In recent years, technological advancements in artificial intelligence and machine learning have broadened the realm of tasks that have the potential to be accomplished through automation technology. Consequently, these developments have raised questions about the future of work. Debate on this issue has focused primarily on the risk of job loss attributable to automation, with less attention given to how automation may change the nature of workers’ jobs. This study employs a task-based approach that shifts the focus from job replacement to changes in the nature of Canadians’ work. This approach views occupations as a set of tasks, allowing researchers to assess the effects of automation in the context of changes in occupational tasks.

    Release date: 2021-01-27

  • Stats in brief: 11-001-X202102723403
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-01-27

  • Articles and reports: 18-001-X2020002
    Description:

    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.

    Release date: 2020-12-08

  • Stats in brief: 11-627-M2020087
    Description:

    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.

    Release date: 2020-12-03

  • 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
Reference (43)

Reference (43) (0 to 10 of 43 results)

  • Classification: 12-604-X
    Description:

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

    Release date: 2021-07-30

  • Classification: 89-26-0004
    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).

    Release date: 2020-10-05

  • Notices and consultations: 88F0006X2010001
    Description:

    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.

    Release date: 2010-02-26

  • Surveys and statistical programs – Documentation: 96-328-M2004026
    Description:

    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.

    Release date: 2005-01-28

  • Surveys and statistical programs – Documentation: 96-328-M2004027
    Description:

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

    Release date: 2005-01-28

  • Surveys and statistical programs – Documentation: 11-622-M2003001
    Geography: Canada
    Description:

    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.

    Release date: 2003-05-15

  • Notices and consultations: 88-003-X20020026374
    Geography: Canada
    Description:

    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.

    Release date: 2002-06-14

  • Notices and consultations: 88-003-X20010015591
    Geography: Canada
    Description:

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

    Release date: 2001-03-13

  • Surveys and statistical programs – Documentation: 21-601-M1998034
    Description:

    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.

    Release date: 2000-01-13

  • Surveys and statistical programs – Documentation: 88F0006X1997001
    Description:

    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.

    Release date: 1998-09-25
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