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Survey or statistical program
- Income and Financial Data of Individuals, Preliminary T1 Family File (9)
- Annual Income Estimates for Census Families and Individuals (T1 Family File) (5)
- Longitudinal Immigration Database (4)
- Longitudinal and International Study of Adults (2)
- Census of Population (1)
- Longitudinal Administrative Databank (1)
- Life After Service Survey (1)
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All (22)
All (22) (0 to 10 of 22 results)
- Articles and reports: 11-633-X2024001Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years.Release date: 2024-01-22
- Articles and reports: 36-28-0001202301100004Description: There is considerable policy interest in engaging hard-to-reach populations in Canada and integrating them into the tax system so they can receive the benefits intended to support them. Using the Longitudinal Immigration Database, this study provides insights into the tax-filing behaviour of newly landed immigrants and their families over time in Canada.Release date: 2023-11-22
- Data Visualization: 71-607-X2019006Description:
This interactive tool allows users to visualize income data of tax filers and their dependants by sex and age for Canada, provinces/territories and census metropolitan area/census agglomeration. It shows the most recent data available from the Annual income estimates for Census families and individuals (T1 Family file).
Release date: 2023-07-17 - Articles and reports: 11-633-X2022009Description:
The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years.
This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.
Release date: 2022-12-05 - Articles and reports: 11-633-X2021008Description:
The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years. The IMDB includes Immigration, Refugees and Citizenship Canada (IRCC) administrative records which contain exhaustive information about immigrants who were admitted to Canada since 1952. It also includes data about non-permanent residents who have been issued temporary resident permits since 1980. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.
Release date: 2021-12-06 - Articles and reports: 89-648-X2020002Description:
Administrative data sets have become increasingly popular sources of information to study mobility across generations. However, the inclusion of parent-child pairs depends on the primary purpose for which the data was collected. In the case of tax records, both parents and children must have worked and filed their taxes, and the children's labour market entry must have happened before they left the parental home. This paper documents selection in samples of parent-child pairs constructed from personal income tax records from Canada, and discusses implications for intergenerational research. It takes advantage of the fact that Statistics Canada's Longitudinal and International Study of Adults (LISA) includes both survey and administrative data to inform the nature and severity of the resulting sample selection. Results show that respondents who were successfully linked to their parents are more educated, and are more likely to have grown up in better educated, nuclear families. However, correcting for sample selection suggests that there is no bias in unadjusted estimates.
Release date: 2020-03-17 - Articles and reports: 89-648-X2020003Description:
This study investigates the suitability of Canada's Longitudinal and International Study of Adults (LISA) for research on intergenerational income mobility. The LISA combines survey data, collected biennially since 2012, and the personal income tax records of both respondents and their past and present family members. In comparison, existing work on intergenerational mobility in Canada has often used the Intergenerational Income Database (IID), a purely administrative dataset based on the universe of tax filers. The IID's size has allowed researchers to describe the experience of mobility of narrowly defined geographic units and cohorts. However, its potential to investigate the mechanisms underlying these patterns is limited, given the small set of variables it informs. As such, the LISA is a promising candidate to further our understanding of the drivers of mobility. This study reproduces the analysis from four key papers that have documented the intergenerational transmission of income in Canada using the IID. Despite having a much smaller sample size and a different approach to the establishment of parent-child links, it finds that the LISA produces results that are consistent with the existing literature. This study also explores the sensitivity of rank-rank estimates to the choice of different specification and present results that will guide the methodological choices to be made by users of the LISA intergenerational family files in combination with LISA variables from the survey data.
Release date: 2020-03-17 - Articles and reports: 75F0002M2019008Description:
The primary objective of this study is to describe the general income trends pre- and post-release for veterans released from the regular forces since 1998. It also provides some directions for future work. This study is part of the Life After Service Studies (LASS) research program. LASS is a partnership between Veterans Affairs Canada, the Department of National Defence and Statistics Canada. For this income study, information on veterans was linked to the T1 Family File (income data on tax filers and their family) produced by Statistics Canada.
Release date: 2019-08-28 - 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 - Surveys and statistical programs – Documentation: 72-211-XDescription:
Data on investment income, Registered Retirement Savings Plan (RRSP) contributions and charitable donations are derived from income tax returns.The data for the products associated with this release are derived from an early version of the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA).
Release date: 2018-02-14
Data (1)
Data (1) ((1 result))
- Data Visualization: 71-607-X2019006Description:
This interactive tool allows users to visualize income data of tax filers and their dependants by sex and age for Canada, provinces/territories and census metropolitan area/census agglomeration. It shows the most recent data available from the Annual income estimates for Census families and individuals (T1 Family file).
Release date: 2023-07-17
Analysis (8)
Analysis (8) ((8 results))
- Articles and reports: 11-633-X2024001Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years.Release date: 2024-01-22
- Articles and reports: 36-28-0001202301100004Description: There is considerable policy interest in engaging hard-to-reach populations in Canada and integrating them into the tax system so they can receive the benefits intended to support them. Using the Longitudinal Immigration Database, this study provides insights into the tax-filing behaviour of newly landed immigrants and their families over time in Canada.Release date: 2023-11-22
- Articles and reports: 11-633-X2022009Description:
The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years.
This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.
Release date: 2022-12-05 - Articles and reports: 11-633-X2021008Description:
The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years. The IMDB includes Immigration, Refugees and Citizenship Canada (IRCC) administrative records which contain exhaustive information about immigrants who were admitted to Canada since 1952. It also includes data about non-permanent residents who have been issued temporary resident permits since 1980. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.
Release date: 2021-12-06 - Articles and reports: 89-648-X2020002Description:
Administrative data sets have become increasingly popular sources of information to study mobility across generations. However, the inclusion of parent-child pairs depends on the primary purpose for which the data was collected. In the case of tax records, both parents and children must have worked and filed their taxes, and the children's labour market entry must have happened before they left the parental home. This paper documents selection in samples of parent-child pairs constructed from personal income tax records from Canada, and discusses implications for intergenerational research. It takes advantage of the fact that Statistics Canada's Longitudinal and International Study of Adults (LISA) includes both survey and administrative data to inform the nature and severity of the resulting sample selection. Results show that respondents who were successfully linked to their parents are more educated, and are more likely to have grown up in better educated, nuclear families. However, correcting for sample selection suggests that there is no bias in unadjusted estimates.
Release date: 2020-03-17 - Articles and reports: 89-648-X2020003Description:
This study investigates the suitability of Canada's Longitudinal and International Study of Adults (LISA) for research on intergenerational income mobility. The LISA combines survey data, collected biennially since 2012, and the personal income tax records of both respondents and their past and present family members. In comparison, existing work on intergenerational mobility in Canada has often used the Intergenerational Income Database (IID), a purely administrative dataset based on the universe of tax filers. The IID's size has allowed researchers to describe the experience of mobility of narrowly defined geographic units and cohorts. However, its potential to investigate the mechanisms underlying these patterns is limited, given the small set of variables it informs. As such, the LISA is a promising candidate to further our understanding of the drivers of mobility. This study reproduces the analysis from four key papers that have documented the intergenerational transmission of income in Canada using the IID. Despite having a much smaller sample size and a different approach to the establishment of parent-child links, it finds that the LISA produces results that are consistent with the existing literature. This study also explores the sensitivity of rank-rank estimates to the choice of different specification and present results that will guide the methodological choices to be made by users of the LISA intergenerational family files in combination with LISA variables from the survey data.
Release date: 2020-03-17 - Articles and reports: 75F0002M2019008Description:
The primary objective of this study is to describe the general income trends pre- and post-release for veterans released from the regular forces since 1998. It also provides some directions for future work. This study is part of the Life After Service Studies (LASS) research program. LASS is a partnership between Veterans Affairs Canada, the Department of National Defence and Statistics Canada. For this income study, information on veterans was linked to the T1 Family File (income data on tax filers and their family) produced by Statistics Canada.
Release date: 2019-08-28 - 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
Reference (1)
Reference (1) ((1 result))
- Surveys and statistical programs – Documentation: 72-211-XDescription:
Data on investment income, Registered Retirement Savings Plan (RRSP) contributions and charitable donations are derived from income tax returns.The data for the products associated with this release are derived from an early version of the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA).
Release date: 2018-02-14
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