Keyword search
Filter results by
Search HelpKeyword(s)
Subject
Type
Year of publication
Survey or statistical program
- Annual Income Estimates for Census Families and Individuals (T1 Family File) (4)
- Longitudinal and International Study of Adults (2)
- Corporation Financial Statistics (1)
- Corporation Taxation Statistics (1)
- Financial and Taxation Statistics for Enterprises (1)
- Pension Plans in Canada (1)
- Agriculture Taxation Data Program (1)
- Adult Education and Training Survey (1)
- Survey of Labour and Income Dynamics (1)
- Income and Financial Data of Individuals, Preliminary T1 Family File (1)
- Annual Survey of Research and Development in Canadian Industry (1)
- Federal Science Expenditures and Personnel, Activities in the Social Sciences and Natural Sciences (1)
- Labour Productivity Measures - Provinces and Territories (Annual) (1)
Results
All (30)
All (30) (0 to 10 of 30 results)
- Public use microdata: 89F0002XDescription: 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: 2024-08-26
- Surveys and statistical programs – Documentation: 72-212-X2024001Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.Release date: 2024-06-27
- Data Visualization: 71-607-X2023001Description: This interactive dashboard allows users to examine financial and employment variables for enterprises aggregated at the industry and industry aggregation level, as well as at the provincial, territorial and regional level.
Financial statistics are based on the Financial and Taxation Statistics for Enterprises product (survey 2510) and are calculated to the province and territory level using employment allocation factors based on profiled data from the Business Register and administrative data from the Canada Revenue Agency T4 Supplemental file.
The employment data has been aggregated at the industry and industry aggregation level, using the annual provincial program of Canadian Productivity Accounts (survey 5103) which produces annual data on jobs by province and territory.
Release date: 2024-05-13 - Surveys and statistical programs – Documentation: 72-212-X2023001Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.Release date: 2023-07-12
- 5. T1 Family File, Final Estimates, 2020 ArchivedSurveys and statistical programs – Documentation: 72-212-X2022001Description:
Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
Release date: 2022-08-09 - 6. T1 Family File, Final Estimates, 2019 ArchivedSurveys and statistical programs – Documentation: 72-212-X2021001Description:
Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
Release date: 2021-07-15 - Data Visualization: 71-607-X2021008Description:
The Agriculture Taxation Data Program (ATDP) is an annual census of tax filer records used to estimate a range of financial agricultural variables including detailed farm revenues and expenses as well as incomes of farm families. This interactive data visualization tool is a visual library for exploring and analyzing ATDP data. Its features allow the creation of charts for targeted inquiries. Data are available at the national and provincial level. Users can also drilldown the data using filters such as farm type and revenue class.
Release date: 2021-03-26 - 8. T1 Family File, Final Estimates, 2018 ArchivedSurveys and statistical programs – Documentation: 72-212-X2020001Description:
Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
Release date: 2020-09-02 - 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
Data (4)
Data (4) ((4 results))
- Public use microdata: 89F0002XDescription: 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: 2024-08-26
- Data Visualization: 71-607-X2023001Description: This interactive dashboard allows users to examine financial and employment variables for enterprises aggregated at the industry and industry aggregation level, as well as at the provincial, territorial and regional level.
Financial statistics are based on the Financial and Taxation Statistics for Enterprises product (survey 2510) and are calculated to the province and territory level using employment allocation factors based on profiled data from the Business Register and administrative data from the Canada Revenue Agency T4 Supplemental file.
The employment data has been aggregated at the industry and industry aggregation level, using the annual provincial program of Canadian Productivity Accounts (survey 5103) which produces annual data on jobs by province and territory.
Release date: 2024-05-13 - Data Visualization: 71-607-X2021008Description:
The Agriculture Taxation Data Program (ATDP) is an annual census of tax filer records used to estimate a range of financial agricultural variables including detailed farm revenues and expenses as well as incomes of farm families. This interactive data visualization tool is a visual library for exploring and analyzing ATDP data. Its features allow the creation of charts for targeted inquiries. Data are available at the national and provincial level. Users can also drilldown the data using filters such as farm type and revenue class.
Release date: 2021-03-26 - Table: 61-219-XDescription:
This publication contains annual aggregate data of Canadian enterprises classified by 67 industry groups. The industry breakdowns are based on the North American Industry Classification System (NAICS Canada 2012). The data include: asset, liability and equity items encompassed in a balance sheet, revenue and expense items as reported on an income statement, a reconciliation of net profit to taxable income and taxes payable, along with several common financial performance ratios.
Release date: 2016-03-17
Analysis (14)
Analysis (14) (0 to 10 of 14 results)
- 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 - 3. A Social Accounting Matrix for Canada ArchivedArticles and reports: 11F0027M2012076Geography: CanadaDescription:
This paper presents a first Social Accounting Matrix (SAM) compiled for Canada. Using data for the year 2000, the authors construct a SAM for the national economy. A SAM extends the National Accounts to allow for a fuller understanding of the socioeconomic system that captures the interdependencies of institutional groups. This paper presents a macro SAM with three micro extensions. The first application expands the household sector through integration with household surveys, showing incomes, outlays, savings, and fiscal transfers of the sector by income quintile and other household attributes. For this exercise, the authors use a market-transaction approach, which introduces a new perspective on household savings that diverges from national accounting concepts and the Canadian System of National Accounts sub-control totals. The second application expands employment income by age, gender, educational attainment, and industry of employment. The third application shows product taxes by type of expenditure and type of tax.
Release date: 2012-02-03 - 4. Migrations: Interprovincial, 2008/2009 ArchivedArticles and reports: 91-209-X201100111514Geography: Canada, Province or territoryDescription:
This article examines patterns of interprovincial migration in Canada, including overall net migration for each province and territory as well as migratiory flows between provinces and territories. Data on interprovincial migration analysed in this article for the years 2007/2008 and 2008/2009, as well as historical data from 1971/1972 are based on administrative files, specifically, income tax files, which are considered final. A brief analysis of the preliminary 2009/2010 data, derived from Canada Child Tax Benefit files, is also included.
Release date: 2011-07-20 - Articles and reports: 13F0026M2010001Description:
Amidst the financial crisis and changes in the labour market, retirement savings plans are subject to greater scrutiny. The retirement income system in Canada stands on both public and private retirement savings plans. This article describes the coverage of Canadian workers by private retirement savings plans. Using cross-sectional tax data from the T1 Family File, we describe the coverage of Canadian employed tax filers aged 15 or more by employer-sponsored pension plans (EPPs) and whether or not they contributed to Registered Retirement Savings Plans (RRSPs) in 1997, 2000, 2003, 2006 and 2008. The share of employed tax filers participating in either type of plan declined from 54% in 1997 to 50% in 2008 and this is mainly driven by a decreasing share of employed tax filers contributing to a RRSP. The share of employed tax filers participating in an EPP remained fairly stable over the period.
Release date: 2010-03-26 - Articles and reports: 11-522-X20050019459Description:
The subject of this paper is the use of administrative data like tax data and social security data for structural business statistics. In this paper also the newly developed statistics on general practitioners is discussed.
Release date: 2007-03-02 - Articles and reports: 88F0006X2005003Description:
This document presents historical tables displaying regional data on business enterprise research and development (R&D) activity. Data are presented in R&D expenditures and personnel, by country of control, data source, employment size and R&D size.
Release date: 2005-01-27 - Articles and reports: 11-522-X20030017708Description:
This article provides an overview of the work to date using GST data at Statistics Canada as direct replacement in imputation or estimation or as a data certification tool.
Release date: 2005-01-26 - Articles and reports: 21-601-M1999041Description:
This study describes registered retirement savings plans (RRSP) contribution habits by farmers. It also looks at the specific characteristics of farm producers and compares them with other groups of workers.
Release date: 2000-01-14 - 10. Measuring the Attractiveness of R&D Tax Incentives: Canada and Major Industrial Countries ArchivedArticles and reports: 88F0006X1999010Description:
This second edition of R&D tax treatment in Canada: a provincial comparison, uses a method developed by the Conference Board of Canada to compare the tax incentives to do research and development (R&D) in each of the provinces. The results contribute to the analysis of regional differences in science and technology activity in Canada, as part of the work of the Science, Innovation and Electronic Information Division of Statistics Canada.
An example of a regional difference is the tax incentive to do R&D in a province. There is the federal Scientific Research and Experimental Development tax programme, which has regional variations. Six out of ten provinces have their own incentive programmes and tax rates which differ from province to province. The B-Index analysis of the Conference Board provides a means of comparing tax incentives and of providing an indicator.
Release date: 1999-12-30
Reference (12)
Reference (12) (0 to 10 of 12 results)
- Surveys and statistical programs – Documentation: 72-212-X2024001Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.Release date: 2024-06-27
- Surveys and statistical programs – Documentation: 72-212-X2023001Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.Release date: 2023-07-12
- 3. T1 Family File, Final Estimates, 2020 ArchivedSurveys and statistical programs – Documentation: 72-212-X2022001Description:
Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
Release date: 2022-08-09 - 4. T1 Family File, Final Estimates, 2019 ArchivedSurveys and statistical programs – Documentation: 72-212-X2021001Description:
Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
Release date: 2021-07-15 - 5. T1 Family File, Final Estimates, 2018 ArchivedSurveys and statistical programs – Documentation: 72-212-X2020001Description:
Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
Release date: 2020-09-02 - Surveys and statistical programs – Documentation: 75F0002M2008005Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes. Sample surveys are subject to sampling errors. In order to consider these errors, each estimates presented in the "Income Trends in Canada" series comes with a quality indicator based on the coefficient of variation. However, other factors must also be considered to make sure data are properly used. Statistics Canada puts considerable time and effort to control errors at every stage of the survey and to maximise the fitness for use. Nevertheless, the survey design and the data processing could restrict the fitness for use. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes the set of quality measures of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.
Release date: 2008-08-20 - Surveys and statistical programs – Documentation: 68-514-XDescription:
Statistics Canada's approach to gathering and disseminating economic data has developed over several decades into a highly integrated system for collection and estimation that feeds the framework of the Canadian System of National Accounts.
The key to this approach was creation of the Unified Enterprise Survey, the goal of which was to improve the consistency, coherence, breadth and depth of business survey data.
The UES did so by bringing many of Statistics Canada's individual annual business surveys under a common framework. This framework included a single survey frame, a sample design framework, conceptual harmonization of survey content, means of using relevant administrative data, common data collection, processing and analysis tools, and a common data warehouse.
Release date: 2006-11-20 - Surveys and statistical programs – Documentation: 75F0048M2002001Geography: CanadaDescription:
This report contains both inventory of and guide to sources of publicly available data on the nonprofit sector in Canada and a discussion of the characteristics and limitations of these data.
Release date: 2002-03-21 - Surveys and statistical programs – Documentation: 75F0033M2000003Geography: CanadaDescription:
This report provides an overview of an inventory of publicly available data on the nonprofit sector.
Release date: 2000-06-12 - Surveys and statistical programs – Documentation: 11-522-X19990015642Description:
The Longitudinal Immigration Database (IMDB) links immigration and taxation administrative records into a comprehensive source of data on the labour market behaviour of the landed immigrant population in Canada. It covers the period 1980 to 1995 and will be updated annually starting with the 1996 tax year in 1999. Statistics Canada manages the database on behalf of a federal-provincial consortium led by Citizenship and Immigration Canada. The IMDB was created specifically to respond to the need for detailed and reliable data on the performance and impact of immigration policies and programs. It is the only source of data at Statistics Canada that provides a direct link between immigration policy levers and the economic performance of immigrants. The paper will examine the issues related to the development of a longitudinal database combining administrative records to support policy-relevant research and analysis. Discussion will focus specifically on the methodological, conceptual, analytical and privacy issues involved in the creation and ongoing development of this database. The paper will also touch briefly on research findings, which illustrate the policy outcome links the IMDB allows policy-makers to investigate.
Release date: 2000-03-02
- Date modified: