Analysis

COVID-19 A data perspective

COVID-19: A data perspective: Explore key economic trends and social challenges that arise as the COVID-19 situation evolves.

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All (55) (0 to 10 of 55 results)

  • Stats in brief: 11-001-X202225619277
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-09-13

  • Stats in brief: 11-001-X20222443592
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-09-01

  • Stats in brief: 11-001-X202220918843
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-07-28

  • Stats in brief: 11-001-X202220725563
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-07-26

  • Stats in brief: 11-001-X202220017623
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-07-19

  • Stats in brief: 11-001-X202214419114
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-05-24

  • Stats in brief: 11-001-X202211119129
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-04-21

  • Stats in brief: 11-001-X202205611961
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-02-25

  • 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

  • Stats in brief: 11-001-X20213213677
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-11-17
Stats in brief (26)

Stats in brief (26) (0 to 10 of 26 results)

Articles and reports (26)

Articles and reports (26) (0 to 10 of 26 results)

  • 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: 46-28-0001202100200001
    Description:

    The Canadian Housing Statistics Program (CHSP) uses new sales data to explore property and buyer characteristics in a three-part series that focuses on Nova Scotia, New Brunswick and British Columbia. As the first part of this series, this article examines properties sold from January 1 to December 31, 2018, providing new information on the geographic distribution of sales, as well as the property types, sale prices and living areas of properties sold.

    Release date: 2021-08-11

  • 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: 11-637-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

  • Articles and reports: 46-28-0001201900100002
    Description:

    This article analyzes the income characteristics of residential property owners in British Columbia, Ontario and Nova Scotia. It provides new information on owners who claimed the home buyers' amount tax credit in 2017 to offer insights on the income of first-time home buyers and their properties. This article also explores the relationship between owner income and property values, and investigates income distributions of owners in selected areas.

    Release date: 2019-12-05

  • Articles and reports: 11-626-X2019011
    Description:

    From 1980 to 2017, Canada welcomed 1,088,000 refugees, an average of about 30,000 per year. For many refugees, homeownership is an important milestone in their path to social and economic integration. This article in the Economic Insights series highlights new data on homeownership among residents who came to Canada as resettled refugees. It reports on how the stock of refugee-owned housing in Vancouver and Toronto compares to that of Canadian-born residents, highlighting differences in property values across various segments of the housing market. Information on the location, age and size of properties and on the age and income of property owners is used to assess relative differences in property values between the two groups. Estimates are based on data developed by the Canadian Housing Statistics Program, released in December 2018.

    Release date: 2019-06-18

  • Articles and reports: 11-626-X2019001
    Geography: Census metropolitan area
    Description:

    This article in the Economic Insights series highlights new data on the ownership of residential properties in Toronto and Vancouver. It focuses solely on residential properties owned by Canadian residents, and evaluates how the housing assets of immigrants differ from those owned by Canadian-born residents. It reports on the prevalence of immigrant ownership for different types of housing, including single-detached houses, semi-detached houses, row houses and condominium apartments, and compares the property values of Canadian-born and immigrant-owned assets. Information on the location, age and size of properties is used to assess differences in the relative value of immigrant-owned housing.

    Release date: 2019-01-29

  • Articles and reports: 13-605-X201501314302
    Description:

    Statistics Canada releases an estimate of capital expenditure from the Capital and Repair Expenditure Survey and an estimate of gross fixed capital formation as part of the Canadian System of Macroeconomic Accounts. This note will explain and provide the adjustments applied to the capital expenditure estimate to achieve the measure of gross fixed capital formation.

    Release date: 2015-12-14

  • Articles and reports: 11-626-X2015048
    Description:

    This article in the Economic Insights series reports on the capital expenditure estimates for 2014 and the expenditure intentions for 2015, released by Statistics Canada on July 6th 2015. The article examines changes in the pace and composition of non-residential capital spending, highlighting key movements in the data for these reference years.

    Release date: 2015-07-06

  • Articles and reports: 11-626-X2013022
    Geography: Canada
    Description:

    This Economic Insights article reports on the composition of capital expenditures in Canada. It highlights major changes in the distribution of aggregate capital spending over the last decade, as investments in structural assets accelerated in resource-based regions. The article also discusses the new preliminary actual estimates for 2012 and the investment intentions for 2013. It is one of a series of Economic Insights articles designed to facilitate ongoing assessments of the Canadian economy.

    Release date: 2013-02-27
Journals and periodicals (3)

Journals and periodicals (3) ((3 results))

  • Journals and periodicals: 61-205-X
    Description:

    This publication presents capital and repair expenditures on construction and on machinery and equipment for divisions and industries at the Canada level and by division at the provincial level. The report also provides the split between private and public investment. The tabulations focus on capital spending intentions for the coming year, preliminary estimates of actual investment for the current year and the actual investment for the previous year. The investment data are gathered from about 25,000 establishments and establishment groups in Canadian businesses, institutions and governments.

    Release date: 2014-02-28

  • Journals and periodicals: 11-402-X
    Geography: Canada
    Description:

    Presented in almanac style, the 2012 Canada Year Book contains more than 500 pages of tables, charts and succinct analytical articles on every major area of Statistics Canada's expertise. The Canada Year Book is the premier reference on the social and economic life of Canada and its citizens.

    Release date: 2012-12-24

  • 3. Canada E-Book Archived
    Journals and periodicals: 11-404-X
    Geography: Canada
    Description:

    The Canada e-Book is an online version of the Canada Year Book with texts, tables, charts and audio clips that present the country's economic and social trends. The Canada e-Book illustrates Canada and Canadians under four broad headings: The Land, The People, The Economy, and The State. You will find a wealth of information on topics including the human imprint on the environment, population and demography, health, education, household and family life, labour force, arts and leisure, industries, finance, government and justice. All Canadians will enjoy this useful reference that helps explain the social, economic and cultural forces that shape our nation.

    Release date: 2003-05-26
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