Science and technology

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

Description:

This interactive data visualization dashboard provides a comprehensive picture of research and development (R&D) activities in Canadian industry. Users will find extensive coverage of characteristics on R&D activities in Canadian industry. The dashboard features information on in-house as well as outsourced R&D expenditures, statistics on energy-related R&D expenditures by area of technology and details on intellectual property product commerce.

Description: This table contains 94976 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...) Country of control (3 items: Total country of control; Canada; Foreign) Energy technology (53 items: Total energy technologies; Fossil fuels; Crude oils and natural gas exploration; Crude oils and natural gas production and storage; ...) Energy-related research and development expenditures (8 items: Total in-house energy-related research and development expenditures; Funded by research and development performing companies (Canada); Funded by federal, provincial or territorial governments; Funded by all other Canadian sources; ...).

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

Description:

This table contains 225 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada);  North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...);  Country of control (3 items: Total country of control; Canada; Foreign).

Description:

This table contains 75 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada);  North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...).

Description:

This table contains 2925 series, with data for years 2014 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...) Country of control (3 items: Total country of control; Canada; Foreign) In-house research and development expenditure types (13 items: Total in-house research and development expenditures; Total current in-house research and development expenditures; Wages and salaries; Other current costs; ...).

Description:

This table contains 30 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Country of control (3 items: Total country of control; Canada; Foreign) Revenue groups (10 items: Total revenue groups; Less than $250,000; $250,000 to $999,999; $1,000,000 to $1,999,999; ...).

Description:

This table contains 33 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Country of control (3 items: Total country of control; Canada; Foreign) Employment size (11 items: Total employment size; 1 to 4 employees; 5 to 9 employees; 10 to 19 employees; ...).

Description:

This interactive data visualization dashboard provides a comprehensive picture of research and development (R&D) activities in Canadian industry. Users will find extensive coverage of characteristics on R&D activities in Canadian industry. The dashboard features information on in-house as well as outsourced R&D expenditures, statistics on energy-related R&D expenditures by area of technology and details on intellectual property product commerce.

Description: This table contains 94976 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...) Country of control (3 items: Total country of control; Canada; Foreign) Energy technology (53 items: Total energy technologies; Fossil fuels; Crude oils and natural gas exploration; Crude oils and natural gas production and storage; ...) Energy-related research and development expenditures (8 items: Total in-house energy-related research and development expenditures; Funded by research and development performing companies (Canada); Funded by federal, provincial or territorial governments; Funded by all other Canadian sources; ...).

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 table contains 225 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada);  North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...);  Country of control (3 items: Total country of control; Canada; Foreign).

Description:

This table contains 75 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada);  North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...).

Description:

This table contains 2925 series, with data for years 2014 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...) Country of control (3 items: Total country of control; Canada; Foreign) In-house research and development expenditure types (13 items: Total in-house research and development expenditures; Total current in-house research and development expenditures; Wages and salaries; Other current costs; ...).

Description:

This table contains 30 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Country of control (3 items: Total country of control; Canada; Foreign) Revenue groups (10 items: Total revenue groups; Less than $250,000; $250,000 to $999,999; $1,000,000 to $1,999,999; ...).

Description:

This table contains 33 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Country of control (3 items: Total country of control; Canada; Foreign) Employment size (11 items: Total employment size; 1 to 4 employees; 5 to 9 employees; 10 to 19 employees; ...).

Description:

This table contains 24 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Country of control (3 items: Total country of control; Canada; Foreign) Research and development expenditure groups (8 items: Total research and development expenditure groups; Less than $50,000; $50,000 to $99,999; $100,000 to $249,999; ...).

Description:

This table contains 1800 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...) Country of control (3 items: Total country of control; Canada; Foreign) Occupational category (8 items: Total in-house research and development personnel; Researchers and research managers; Scientists, social scientists, engineers and researchers; Senior research managers; ...).

Description:

The entrepreneurship indicator database provides data describing the dynamics of a subset of Canadian enterprises, such as the number of active enterprises with one or more employees, the number of high-growth enterprises, the number of births and deaths of active enterprises with one or more employees, the survival of newly created enterprises, and more.

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.

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.

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.

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

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

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.

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

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.

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.

Description: The purpose of this survey was to measure and develop a better understanding of the emerging contribution of biotechnology to the Canadian economy.

Description: The objective of the survey is to assure the availability of pertinent information to monitor science and technology related activities and to support the development of science and technology policy.

Description: The objective of the Survey of Advanced Technology is to collect important information about the extent to which Canadian enterprises use advanced technologies.

Description: The objective of the survey is to provide information on innovation, advanced technology and advanced practices being used in the construction and related industries.

Description: The survey provides information on companies developing new products and processes using biotechnologies.

Description: This survey is being conducted to measure the extent to which knowledge management practices are used or will be used by Canadian businesses.

Description: The objective of the survey is to produce new statistical information on the collection, use and disclosure of human genetic material in Canada.

Description: The objectives of the survey are to produce statistical information on the functional food and natural health product sector and a profile of firms engaged in functional food and/or natural health product related activities in Canada.

Description: The objective of this survey is to collect new statistical information on the nature and extent of product, process, marketing and organizational innovations in the Canadian food processing industry and on other emerging issues in the food processing industry;

Description: The 2015 Bioproducts Production and Development Survey collects information on the characteristics and activities of businesses in Canada that develop and/or produce bioproducts and that collect, separate or refine biomass used in bioproducts.