Analysis

Description:

As the tenth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to reduce inequalities within and among countries by 2030. This 2022 infographic provides an overview of indicators underlying the tenth Sustainable Development Goal in support of reduced inequalities, and the statistics and data sources used to monitor and report on this goal in Canada.

Description: As the sixteenth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels by 2030. This 2020 infographic provides an overview of indicators underlying the sixteenth Sustainable Development Goal in support of peace, justice and strong institutions, and the statistics and data sources used to monitor and report on this goal in Canada.

Description:

This Juristat article provides information on the collection, through the Uniform Crime Reporting Survey, of unfounded criminal incidents in Canada, including sexual assaults. It will provide background on the collection of these data and an overview of the actions taken by the Canadian Centre for Justice Statistics - a division at Statistics Canada - and the Police Information and Statistics Committee of the Canadian Association of Chiefs of Police to revise the Uniform Crime Reporting Survey to address data quality and reporting issues, and to reinstate collection of information on unfounded criminal incidents.

Description:

This infographic denotes the process taken by Statistics Canada in collaboration with data providers and other stakeholders to review and standardize the collection of data on unfounded incidents through the Uniform Crime Reporting Survey, and the release of data to the public.

Description:

This feasibility report provides a blueprint for improving data on fraud in Canada through a survey of businesses and through amendments to the Uniform Crime Reporting (UCR) Survey. Presently, national information on fraud is based on official crime statistics reported by police services to the Uniform Crime Reporting Survey. These data, however, do not reflect the true nature and extent of fraud in Canada due to under-reporting of fraud by individuals and businesses, and due to inconsistencies in the way frauds are counted within the UCR Survey. This feasibility report concludes that a better measurement of fraud in Canada could be obtained through a survey of businesses. The report presents the information priorities of government departments, law enforcement and the private sector with respect to the issue of fraud and makes recommendations on how a survey of businesses could help fulfill these information needs.

To respond to information priorities, the study recommends surveying the following types of business establishments: banks, payment companies (i.e. credit card and debit card companies), selected retailers, property and casualty insurance carriers, health and disability insurance carriers and selected manufacturers. The report makes recommendations regarding survey methodology and questionnaire content, and provides estimates for timeframes and cost.

The report also recommends changes to the UCR Survey in order to improve the way in which incidents are counted and to render the data collected more relevant with respect to the information priorities raised by government, law enforcement and the private sector during the feasibility study.

Description:

This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

In order to compensate for unreported, missing, unreasonable, or unusable data, the Uniform Crime Reporting (UCR) Program conducts data estimations and imputations using a variety of statistical methods. This paper illustrates how offence and arrest data are estimated using a variety of different approaches. The paper also points out the strengths and the shortcomings of each approach.

Description:

This infographic denotes the process taken by Statistics Canada in collaboration with data providers and other stakeholders to review and standardize the collection of data on unfounded incidents through the Uniform Crime Reporting Survey, and the release of data to the public.

Description:

As the tenth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to reduce inequalities within and among countries by 2030. This 2022 infographic provides an overview of indicators underlying the tenth Sustainable Development Goal in support of reduced inequalities, and the statistics and data sources used to monitor and report on this goal in Canada.

Description: As the sixteenth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels by 2030. This 2020 infographic provides an overview of indicators underlying the sixteenth Sustainable Development Goal in support of peace, justice and strong institutions, and the statistics and data sources used to monitor and report on this goal in Canada.

Description:

This Juristat article provides information on the collection, through the Uniform Crime Reporting Survey, of unfounded criminal incidents in Canada, including sexual assaults. It will provide background on the collection of these data and an overview of the actions taken by the Canadian Centre for Justice Statistics - a division at Statistics Canada - and the Police Information and Statistics Committee of the Canadian Association of Chiefs of Police to revise the Uniform Crime Reporting Survey to address data quality and reporting issues, and to reinstate collection of information on unfounded criminal incidents.

Description:

This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

In order to compensate for unreported, missing, unreasonable, or unusable data, the Uniform Crime Reporting (UCR) Program conducts data estimations and imputations using a variety of statistical methods. This paper illustrates how offence and arrest data are estimated using a variety of different approaches. The paper also points out the strengths and the shortcomings of each approach.

Description:

This feasibility report provides a blueprint for improving data on fraud in Canada through a survey of businesses and through amendments to the Uniform Crime Reporting (UCR) Survey. Presently, national information on fraud is based on official crime statistics reported by police services to the Uniform Crime Reporting Survey. These data, however, do not reflect the true nature and extent of fraud in Canada due to under-reporting of fraud by individuals and businesses, and due to inconsistencies in the way frauds are counted within the UCR Survey. This feasibility report concludes that a better measurement of fraud in Canada could be obtained through a survey of businesses. The report presents the information priorities of government departments, law enforcement and the private sector with respect to the issue of fraud and makes recommendations on how a survey of businesses could help fulfill these information needs.

To respond to information priorities, the study recommends surveying the following types of business establishments: banks, payment companies (i.e. credit card and debit card companies), selected retailers, property and casualty insurance carriers, health and disability insurance carriers and selected manufacturers. The report makes recommendations regarding survey methodology and questionnaire content, and provides estimates for timeframes and cost.

The report also recommends changes to the UCR Survey in order to improve the way in which incidents are counted and to render the data collected more relevant with respect to the information priorities raised by government, law enforcement and the private sector during the feasibility study.