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Results
All (9)
All (9) ((9 results))
- Articles and reports: 75F0002M2021008Description:
As Canada begins the recovery from the health and economic impacts of the COVID-19 pandemic, there are concerns for the financial well-being of Canadians and a heightened awareness of the importance of financial resilience. This paper looks at how Canadians are reporting their financial difficulties on the Labour Force Survey, expands on research into how the weekly income of Canadians has been affected, and examines changes in the Seymour Financial Resilience IndexTM over the pandemic period. This report is the result of a collaboration between Statistics Canada and Seymour Consulting Inc.
Release date: 2021-09-09 - Articles and reports: 75F0002M2021006Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-07-28 - Articles and reports: 11F0019M2021006Description:
The overall objective of this paper is to provide an overview of selected approaches to measuring and reporting well-being in Canada and internationally, and to identify opportunities to move forward with new and enhanced measures to address current social, economic and environmental issues facing Canada that may impact the well-being of its population. This report highlights six trends and proposes a range of data development and measurement activities to advance well-being measurement in the following key areas: digitization, affordability and economic uncertainty, the quality of jobs, social cohesion, neighbourhoods and the built environment and climate change.
Release date: 2021-07-12 - Stats in brief: 45-28-0001202100100021Description:
The Canada Emergency Response Benefit program (CERB) was introduced to provide financial support to employees and self-employed workers in Canada who were directly impacted by the COVID-19 pandemic. This article examines the proportion of 2019 workers who received CERB payments in 2020 by various characteristics. CERB take-up rates are presented by industry, earnings group in 2019, sex, age group and province, as well as for population groups designated as visible minorities, immigrants and Indigenous people. Some factors that help explain differences in take-up rates among these groups of workers are also examined.
Release date: 2021-06-02 - Articles and reports: 75F0002M2021002Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional sources of data, and accounts for new pandemic relief programs introduced after September 2020. Population coverage is improved, and experimental estimates are updated and extended through December 2020. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-03-23 - Articles and reports: 75F0002M2020004Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.
Release date: 2020-12-18 - 7. Getting to know Canada's top 1%, 2018 ArchivedStats in brief: 11-627-M2020081Description:
Income data for Canadian tax filers shed light on the distribution of income in 2018. This infographic illuminates selected characteristics of the top 1% of tax filers in Canada that year, including information on age, gender, and geographic location. The top 1% of tax filers is defined as the 1% of tax filers with the highest total incomes when ranked nationally. These estimates are for a pre-pandemic period and do not reflect any impacts of COVID-19. However, they do provide a baseline for analysing changes to the top of the income distribution during the pandemic period, once those data become available.
Release date: 2020-11-18 - Articles and reports: 75F0002M2019007Description:
Not having a Social Insurance Number (SIN) and not filing taxes may represent challenges to access government programs and supports such as the Canada Education Savings Grant (CESG) and the Canada Learning Bond (CLB). Limited data availability has prevented a full assessment of the extent of these access challenges. This study attempts to address this knowledge gap by analyzing overall differences in SIN possession and tax-filing uptake by family income, levels of parental education, family type and Indigenous identity of the child and age of children using the 2016 Census data augmented with tax-filing and Social Insurance Number possession indicator flags.
Release date: 2019-06-21 - Articles and reports: 75F0002M2010002Description:
This report compares the aggregate income estimates as published by four different statistical programs. The System of National Accounts provides a portrait of economic activity at the macro economic level. The three other programs considered generate data from a micro-economic perspective: two are survey based (Census of Population and Survey of Labour and Income Dynamics) and the third derives all its results from administrative data (Annual Estimates for Census Families and Individuals). A review of the conceptual differences across the sources is followed by a discussion of coverage issues and processing discrepancies that might influence estimates. Aggregate income estimates with adjustments where possible to account for known conceptual differences are compared. Even allowing for statistical variability, some reconciliation issues remain. These are sometimes are explained by the use of different methodologies or data gathering instruments but they sometimes also remain unexplained.
Release date: 2010-04-06
Stats in brief (2)
Stats in brief (2) ((2 results))
- Stats in brief: 45-28-0001202100100021Description:
The Canada Emergency Response Benefit program (CERB) was introduced to provide financial support to employees and self-employed workers in Canada who were directly impacted by the COVID-19 pandemic. This article examines the proportion of 2019 workers who received CERB payments in 2020 by various characteristics. CERB take-up rates are presented by industry, earnings group in 2019, sex, age group and province, as well as for population groups designated as visible minorities, immigrants and Indigenous people. Some factors that help explain differences in take-up rates among these groups of workers are also examined.
Release date: 2021-06-02 - 2. Getting to know Canada's top 1%, 2018 ArchivedStats in brief: 11-627-M2020081Description:
Income data for Canadian tax filers shed light on the distribution of income in 2018. This infographic illuminates selected characteristics of the top 1% of tax filers in Canada that year, including information on age, gender, and geographic location. The top 1% of tax filers is defined as the 1% of tax filers with the highest total incomes when ranked nationally. These estimates are for a pre-pandemic period and do not reflect any impacts of COVID-19. However, they do provide a baseline for analysing changes to the top of the income distribution during the pandemic period, once those data become available.
Release date: 2020-11-18
Articles and reports (7)
Articles and reports (7) ((7 results))
- Articles and reports: 75F0002M2021008Description:
As Canada begins the recovery from the health and economic impacts of the COVID-19 pandemic, there are concerns for the financial well-being of Canadians and a heightened awareness of the importance of financial resilience. This paper looks at how Canadians are reporting their financial difficulties on the Labour Force Survey, expands on research into how the weekly income of Canadians has been affected, and examines changes in the Seymour Financial Resilience IndexTM over the pandemic period. This report is the result of a collaboration between Statistics Canada and Seymour Consulting Inc.
Release date: 2021-09-09 - Articles and reports: 75F0002M2021006Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-07-28 - Articles and reports: 11F0019M2021006Description:
The overall objective of this paper is to provide an overview of selected approaches to measuring and reporting well-being in Canada and internationally, and to identify opportunities to move forward with new and enhanced measures to address current social, economic and environmental issues facing Canada that may impact the well-being of its population. This report highlights six trends and proposes a range of data development and measurement activities to advance well-being measurement in the following key areas: digitization, affordability and economic uncertainty, the quality of jobs, social cohesion, neighbourhoods and the built environment and climate change.
Release date: 2021-07-12 - Articles and reports: 75F0002M2021002Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional sources of data, and accounts for new pandemic relief programs introduced after September 2020. Population coverage is improved, and experimental estimates are updated and extended through December 2020. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-03-23 - Articles and reports: 75F0002M2020004Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.
Release date: 2020-12-18 - Articles and reports: 75F0002M2019007Description:
Not having a Social Insurance Number (SIN) and not filing taxes may represent challenges to access government programs and supports such as the Canada Education Savings Grant (CESG) and the Canada Learning Bond (CLB). Limited data availability has prevented a full assessment of the extent of these access challenges. This study attempts to address this knowledge gap by analyzing overall differences in SIN possession and tax-filing uptake by family income, levels of parental education, family type and Indigenous identity of the child and age of children using the 2016 Census data augmented with tax-filing and Social Insurance Number possession indicator flags.
Release date: 2019-06-21 - Articles and reports: 75F0002M2010002Description:
This report compares the aggregate income estimates as published by four different statistical programs. The System of National Accounts provides a portrait of economic activity at the macro economic level. The three other programs considered generate data from a micro-economic perspective: two are survey based (Census of Population and Survey of Labour and Income Dynamics) and the third derives all its results from administrative data (Annual Estimates for Census Families and Individuals). A review of the conceptual differences across the sources is followed by a discussion of coverage issues and processing discrepancies that might influence estimates. Aggregate income estimates with adjustments where possible to account for known conceptual differences are compared. Even allowing for statistical variability, some reconciliation issues remain. These are sometimes are explained by the use of different methodologies or data gathering instruments but they sometimes also remain unexplained.
Release date: 2010-04-06
Journals and periodicals (0)
Journals and periodicals (0) (0 results)
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