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All (19)

All (19) (0 to 10 of 19 results)

  • Public use microdata: 89F0002X
    Description: The SPSD/M is a static microsimulation model designed to analyse financial interactions between governments and individuals in Canada. It can compute taxes paid to and cash transfers received from government. It is comprised of a database, a series of tax/transfer algorithms and models, analytical software and user documentation.
    Release date: 2024-04-12

  • Table: 21-26-0003
    Description: The Open Database of Businesses contains the names, addresses and locations of businesses. It also includes information on the type of business and legal nature of business, when supplied by the data providers.

    This database is compiled from both open and publicly available data sources and is made available under the Open Government License - Canada.
    Release date: 2023-11-28

  • Data Visualization: 71-607-X2020014
    Description: This map viewer displays select databases released as part of the Linkable Open Data Environment (LODE) initiative.
    Release date: 2023-05-23

  • Table: 34-26-0003
    Description: The Open Database of Infrastructure contains the locations of bridges, tunnels, solid waste facilities, pedestrian and cycling paths, public transit stops, and potable water, stormwater and wastewater infrastructure.

    This database is compiled from both open and publicly available data sources and is made available under the Open Government License - Canada.
    Release date: 2023-05-08

  • Table: 32-26-0005
    Description: The Open Database of Greenhouses (ODG) is a collection of digitized greenhouses across Canada. ODG is derived from high resolution earth observation imagery captured between 2017-2021, and provided by open data portals, partnerships and agreements controlled by municipal or provincial governments, or by companies which hold an existing National Standing Offer with the Federal Government. The current version (version 1.0) of the ODG contains approximately 2,400 greenhouse records and is released as open data under the Open Government Licence - Canada and provided as zipped shapefiles.
    Release date: 2023-02-02

  • Articles and reports: 11-633-X2023001
    Description:

    This paper provides an update to the work of Abbes et al. (2022a) and to the Canadian Patent Research Database (CPRD). The CPRD was created to study patenting, an important indicator of innovative activity, at the micro level.

    Release date: 2023-01-12

  • Table: 17-20-00022022001
    Description: The Canadian Social Environment Typology (CanSET) data file on cluster membership by dissemination area is a downloadable data file. The file includes information on the variables that were used to create the clusters and a data table with cluster options on membership by dissemination area.
    Release date: 2022-05-09

  • Articles and reports: 11-633-X2022005
    Description:

    This paper documents the use of the Worldwide Patent Statistical Database (PATSTAT), a global patent application database created by the European Patent Office, to create the Canadian Research Patent Database at Statistics Canada. Innovation is an important driver of the economy, and patent statistics are recognized as a useful measure of innovative activity. The current version of the Canadian Research Patent Database focuses on the worldwide patent applications of businesses with an address in Canada (Canada-resident businesses).

    Release date: 2022-04-19

  • Articles and reports: 18-001-X2021003
    Description:

    Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images. The CNNs use the structure of the façade in the building’s image for classification. Multiple state-of-the-art CNNs are finetuned to accomplish the classification task. The trained models provide a proof of concept and show that CNNs can be used to classify buildings using their street-view imagery. The training and validation performance of the trained CNNs are measured. Furthermore, the trained CNNs are evaluated on a separate test set of street-view imagery. This approach can be used to augment the information available on openly accessible databases, such as the Open Database of Buildings.

    Release date: 2022-01-21

  • Table: 21-26-0002
    Description: The Open Database of Recreational and Sport Facilities (ODRSF) is a listing of recreational and sport facilities across Canada from open sources. Facilities are classified into one of the following eighteen types: trails, sports fields, arenas, athletic parks, beaches, casinos, community centres, gyms, marinas, parks, playgrounds, pools, race tracks, rinks, skate parks, splash pads, stadiums, and miscellaneous. The listing contains the names, addresses, and geo coordinates of facilities, as well as the facility type as assigned in the data source. The ODRSF is based on data from authoritative sources that include among them provincial, territorial and municipal governments. The ODRSF is released as open data under the Open Government License - Canada and provided as a zipped comma-separated values (.csv) file.
    Release date: 2021-09-28
Data (11)

Data (11) (0 to 10 of 11 results)

  • Public use microdata: 89F0002X
    Description: The SPSD/M is a static microsimulation model designed to analyse financial interactions between governments and individuals in Canada. It can compute taxes paid to and cash transfers received from government. It is comprised of a database, a series of tax/transfer algorithms and models, analytical software and user documentation.
    Release date: 2024-04-12

  • Table: 21-26-0003
    Description: The Open Database of Businesses contains the names, addresses and locations of businesses. It also includes information on the type of business and legal nature of business, when supplied by the data providers.

    This database is compiled from both open and publicly available data sources and is made available under the Open Government License - Canada.
    Release date: 2023-11-28

  • Data Visualization: 71-607-X2020014
    Description: This map viewer displays select databases released as part of the Linkable Open Data Environment (LODE) initiative.
    Release date: 2023-05-23

  • Table: 34-26-0003
    Description: The Open Database of Infrastructure contains the locations of bridges, tunnels, solid waste facilities, pedestrian and cycling paths, public transit stops, and potable water, stormwater and wastewater infrastructure.

    This database is compiled from both open and publicly available data sources and is made available under the Open Government License - Canada.
    Release date: 2023-05-08

  • Table: 32-26-0005
    Description: The Open Database of Greenhouses (ODG) is a collection of digitized greenhouses across Canada. ODG is derived from high resolution earth observation imagery captured between 2017-2021, and provided by open data portals, partnerships and agreements controlled by municipal or provincial governments, or by companies which hold an existing National Standing Offer with the Federal Government. The current version (version 1.0) of the ODG contains approximately 2,400 greenhouse records and is released as open data under the Open Government Licence - Canada and provided as zipped shapefiles.
    Release date: 2023-02-02

  • Table: 17-20-00022022001
    Description: The Canadian Social Environment Typology (CanSET) data file on cluster membership by dissemination area is a downloadable data file. The file includes information on the variables that were used to create the clusters and a data table with cluster options on membership by dissemination area.
    Release date: 2022-05-09

  • Table: 21-26-0002
    Description: The Open Database of Recreational and Sport Facilities (ODRSF) is a listing of recreational and sport facilities across Canada from open sources. Facilities are classified into one of the following eighteen types: trails, sports fields, arenas, athletic parks, beaches, casinos, community centres, gyms, marinas, parks, playgrounds, pools, race tracks, rinks, skate parks, splash pads, stadiums, and miscellaneous. The listing contains the names, addresses, and geo coordinates of facilities, as well as the facility type as assigned in the data source. The ODRSF is based on data from authoritative sources that include among them provincial, territorial and municipal governments. The ODRSF is released as open data under the Open Government License - Canada and provided as a zipped comma-separated values (.csv) file.
    Release date: 2021-09-28

  • Profile of a community or region: 46-26-0001
    Description: The Open Database of Addresses (ODA) is a listing of address points across Canada. The database contains addresses and geo coordinates. The ODA is based on data from authoritative sources that include among them provincial, territorial and municipal governments. The ODA is released as open data under the Open Government License - Canada and provided as a collection of compressed CSV files.
    Release date: 2021-04-29

  • Profile of a community or region: 21-26-0001
    Description: The Open Database of Cultural and Art Facilities (ODCAF) is a listing of cultural and art facilities across Canada. Facilities are classified in to one of the following nine types: art or cultural centre, festival site, gallery, heritage or historic site, library or archive, museum, theatre/performance and concert hall, and miscellaneous.

    The listing contains the names, addresses, and geo coordinates of facilities, as well as the facility type as assigned in the data source. The ODCAF is based on data from authoritative sources that include among them provincial, territorial and municipal governments, and professional associations.

    The ODCAF is released as open data under the Open Government License - Canada and provided as a zipped comma-separated values (.csv) file.

    Release date: 2020-10-02

  • Table: 50-503-X
    Description:

    The Canadian Freight Analysis Framework (CFAF) integrates data from several sources to create a comprehensive picture of freight flows across the country by geography, commodity and mode of transport. The framework database estimates tonnage, value, and tonne-kilometers by origin and destination, by commodity type, and by mode. The database can be used in a variety of analyses including, for example, assessing highway capacity and forecasting traffic, evaluating investments in infrastructure, examining trade flows, and analyzing policies such as road pricing and multimodal freight programs. The data are provided in spreadsheet format for ease of use. A data dictionary in HTML format is also included to provide information on the variables available in the database. By referring to the CFAF dictionary, data users will gain a better understanding of the data.

    Release date: 2020-05-14
Analysis (8)

Analysis (8) ((8 results))

  • Articles and reports: 11-633-X2023001
    Description:

    This paper provides an update to the work of Abbes et al. (2022a) and to the Canadian Patent Research Database (CPRD). The CPRD was created to study patenting, an important indicator of innovative activity, at the micro level.

    Release date: 2023-01-12

  • Articles and reports: 11-633-X2022005
    Description:

    This paper documents the use of the Worldwide Patent Statistical Database (PATSTAT), a global patent application database created by the European Patent Office, to create the Canadian Research Patent Database at Statistics Canada. Innovation is an important driver of the economy, and patent statistics are recognized as a useful measure of innovative activity. The current version of the Canadian Research Patent Database focuses on the worldwide patent applications of businesses with an address in Canada (Canada-resident businesses).

    Release date: 2022-04-19

  • Articles and reports: 18-001-X2021003
    Description:

    Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images. The CNNs use the structure of the façade in the building’s image for classification. Multiple state-of-the-art CNNs are finetuned to accomplish the classification task. The trained models provide a proof of concept and show that CNNs can be used to classify buildings using their street-view imagery. The training and validation performance of the trained CNNs are measured. Furthermore, the trained CNNs are evaluated on a separate test set of street-view imagery. This approach can be used to augment the information available on openly accessible databases, such as the Open Database of Buildings.

    Release date: 2022-01-21

  • 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

  • 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: 82-003-X202000800001
    Description:

    This study fills this gap by examining the self-reported mental health (SRMH) of immigrants by admission category and other immigration dimensions (e.g., source world region and duration since landing) and making comparisons with Canadian-born respondents to a population-based survey.

    Release date: 2020-08-19

  • Articles and reports: 13-605-X201900100009
    Description:

    In this paper a preliminary set of statistical estimates of the amounts invested in Canadian data, databases and data science in recent years are presented. The results indicate rapid growth in investment in data, databases and data science over the last three decades and a significant accumulation of these kinds of capital over time.

    Release date: 2019-07-10

  • Articles and reports: 13-605-X201900100008
    Description:

    This paper aims to expand the current national accounting concepts and statistical methods for measuring data in order to shed light on some highly consequential changes in society that are related to the rising usage of data. The paper concludes by discussing possible methods that can be used to assign an economic value to the various elements in the information chain and tests these concepts and methods by presenting results for Canada as a first attempt to measure the value of data.

    Release date: 2019-06-24
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