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Survey or statistical program
- Survey of Household Spending (6)
- Survey of Labour and Income Dynamics (4)
- Census of Population (3)
- National Gross Domestic Product by Income and by Expenditure Accounts (1)
- Survey of Financial Security (1)
- Food Expenditure Survey (1)
- Annual Income Estimates for Census Families and Individuals (T1 Family File) (1)
- Canadian Income Survey (1)
Results
All (17)
All (17) (0 to 10 of 17 results)
- Public use microdata: 95M0007XDescription: Microdata files are unique among census products in that they give users access to unaggregated data. This makes the public use microdata files (PUMFs) powerful research tools. Each file contains anonymous individual responses on a large number of variables. The PUMF user can group and manipulate these variables to suit his/her own data and research requirements. Tabulations not included in other census products can be created or relationships between variables can be analysed by using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people. All subject-matter covered by the census is included in the microdata files. However, to ensure the anonymity of the respondents, geographic identifiers have been restricted to the provinces/territories and large metropolitan areas. Microdata files have traditionally been disseminated on magnetic tape, which required access to a mainframe computer. For the first time, the 1991 PUMFs will also be available on CD-ROM for microcomputer applications. This file contains data based on a 3% of the population enumerated in the 1991 Census. It provides information on the demographic, social and economic characteristics of the Canadian population. The Individual File allows users to return to the base unit of the census, enabling them to group and manipulate the data to suit their own data and research requirements.
This product provides two basic tools to assist users in accessing and using the 1991 Census Public Use Microdata File - Individuals CD-ROM.
Release date: 2023-09-12 - Public use microdata: 95M0008XDescription: Microdata files are unique among census products in that they give users access to unaggregated data. This makes the public use microdata files (PUMFs) powerful research tools. Each file contains anonymous individual responses on a large number of variables. The PUMF user can group and manipulate these variables to suit his/her own data and research requirements. Tabulations not included in other census products can be created or relationships between variables can be analysed by using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people. All subject-matter covered by the census is included in the microdata files. However, to ensure the anonymity of the respondents, geographic identifiers have been restricted to the provinces/territories and large metropolitan areas. Microdata files have traditionally been disseminated on magnetic tape, which required access to a mainframe computer. For the first time, the 1991 PUMFs will also be available on CD-ROM for microcomputer applications. This file contains data based on a 3% of the population enumerated in the 1991 Census. It provides information on the demographic, social and economic characteristics of the Canadian population. The Households and Housing File allows users to return to the base unit of the census, enabling them to group and manipulate the data to suit their own data and research requirements.
This product provides two basic tools to assist users in accessing and using the 1991 Census Public Use Microdata File - Households and Housing CD-ROM.
Release date: 2023-09-12 - Articles and reports: 75F0002M2022001Description:
Periodically, income statistics are updated to reflect the most recent population estimates derived after the census. Accordingly, with the release of the 2020 data from the Canadian Income Survey (CIS), Statistics Canada has revised estimates for 2012 to 2019 using totals from population estimates based on the 2016 Census. This paper presents a comparison between revised and unrevised estimates for key income series, and describes other modifications made to CIS variables.
Release date: 2022-03-23 - Articles and reports: 75F0002M2012003Description:
The release of the 2010 Survey of Labour and Income Dynamics (SLID) data coincided with a historical revision of the 2006 to 2009 results. The survey weights were updated to take into account new population estimates based on the 2006 Census rather than the 2001 Census. This paper presents a summary of the impact of this revision on the 2006-2009 survey estimates.
Release date: 2012-11-01 - Articles and reports: 75F0002M2010004Description:
Statistics Canada introduced its Low Income Measure (LIM) in 1991 as a complement to its Low Income Cut-Offs (LICOs). The Low Income Measure (LIM) is a dollar threshold that delineates low-income in relation to the median income and different versions of this measure are in wide use internationally. Over the intervening 25 years there have been a number of useful methodological and conceptual developments in the area of low income measurement. To make the Canadian LIM methodology consistent with international norms and practices, a revision of the Statistics Canada LIM methodology appears desirable.
This paper describes three modifications to the LIM that Statistics Canada plans to introduce in 2010: replacing the economic family by household; replacing the current LIM equivalence scale by the square root of household size; and taking household size into consideration in determining the low-income thresholds. The paper explains the rationale behind each modification and demonstrates the impacts the revisions will have on low-income statistics in comparison with those under the existing LIM. Overall the revisions do not have any significant effect on broad historic trends in low-income statistics in Canada. However, compared to the existing LIM the revised LIM produces lower estimates of low-income incidence for certain groups of individuals such as unattached non-elderly individuals.
Release date: 2010-06-07 - Surveys and statistical programs – Documentation: 62F0026M2010001Description:
This report describes the quality indicators produced for the 2004 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2010-04-26 - Surveys and statistical programs – Documentation: 62F0026M2010002Description:
This report describes the quality indicators produced for the 2005 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2010-04-26 - Surveys and statistical programs – Documentation: 62F0026M2010003Description:
This report describes the quality indicators produced for the 2006 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2010-04-26 - 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 - Articles and reports: 11-522-X200800010996Description:
In recent years, the use of paradata has become increasingly important to the management of collection activities at Statistics Canada. Particular attention has been paid to social surveys conducted over the phone, like the Survey of Labour and Income Dynamics (SLID). For recent SLID data collections, the number of call attempts was capped at 40 calls. Investigations of the SLID Blaise Transaction History (BTH) files were undertaken to assess the impact of the cap on calls.The purpose of the first study was to inform decisions as to the capping of call attempts, the second study focused on the nature of nonresponse given the limit of 40 attempts.
The use of paradata as auxiliary information for studying and accounting for survey nonresponse was also examined. Nonresponse adjustment models using different paradata variables gathered at the collection stage were compared to the current models based on available auxiliary information from the Labour Force Survey.
Release date: 2009-12-03
Data (2)
Data (2) ((2 results))
- Public use microdata: 95M0007XDescription: Microdata files are unique among census products in that they give users access to unaggregated data. This makes the public use microdata files (PUMFs) powerful research tools. Each file contains anonymous individual responses on a large number of variables. The PUMF user can group and manipulate these variables to suit his/her own data and research requirements. Tabulations not included in other census products can be created or relationships between variables can be analysed by using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people. All subject-matter covered by the census is included in the microdata files. However, to ensure the anonymity of the respondents, geographic identifiers have been restricted to the provinces/territories and large metropolitan areas. Microdata files have traditionally been disseminated on magnetic tape, which required access to a mainframe computer. For the first time, the 1991 PUMFs will also be available on CD-ROM for microcomputer applications. This file contains data based on a 3% of the population enumerated in the 1991 Census. It provides information on the demographic, social and economic characteristics of the Canadian population. The Individual File allows users to return to the base unit of the census, enabling them to group and manipulate the data to suit their own data and research requirements.
This product provides two basic tools to assist users in accessing and using the 1991 Census Public Use Microdata File - Individuals CD-ROM.
Release date: 2023-09-12 - Public use microdata: 95M0008XDescription: Microdata files are unique among census products in that they give users access to unaggregated data. This makes the public use microdata files (PUMFs) powerful research tools. Each file contains anonymous individual responses on a large number of variables. The PUMF user can group and manipulate these variables to suit his/her own data and research requirements. Tabulations not included in other census products can be created or relationships between variables can be analysed by using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people. All subject-matter covered by the census is included in the microdata files. However, to ensure the anonymity of the respondents, geographic identifiers have been restricted to the provinces/territories and large metropolitan areas. Microdata files have traditionally been disseminated on magnetic tape, which required access to a mainframe computer. For the first time, the 1991 PUMFs will also be available on CD-ROM for microcomputer applications. This file contains data based on a 3% of the population enumerated in the 1991 Census. It provides information on the demographic, social and economic characteristics of the Canadian population. The Households and Housing File allows users to return to the base unit of the census, enabling them to group and manipulate the data to suit their own data and research requirements.
This product provides two basic tools to assist users in accessing and using the 1991 Census Public Use Microdata File - Households and Housing CD-ROM.
Release date: 2023-09-12
Analysis (6)
Analysis (6) ((6 results))
- Articles and reports: 75F0002M2022001Description:
Periodically, income statistics are updated to reflect the most recent population estimates derived after the census. Accordingly, with the release of the 2020 data from the Canadian Income Survey (CIS), Statistics Canada has revised estimates for 2012 to 2019 using totals from population estimates based on the 2016 Census. This paper presents a comparison between revised and unrevised estimates for key income series, and describes other modifications made to CIS variables.
Release date: 2022-03-23 - Articles and reports: 75F0002M2012003Description:
The release of the 2010 Survey of Labour and Income Dynamics (SLID) data coincided with a historical revision of the 2006 to 2009 results. The survey weights were updated to take into account new population estimates based on the 2006 Census rather than the 2001 Census. This paper presents a summary of the impact of this revision on the 2006-2009 survey estimates.
Release date: 2012-11-01 - Articles and reports: 75F0002M2010004Description:
Statistics Canada introduced its Low Income Measure (LIM) in 1991 as a complement to its Low Income Cut-Offs (LICOs). The Low Income Measure (LIM) is a dollar threshold that delineates low-income in relation to the median income and different versions of this measure are in wide use internationally. Over the intervening 25 years there have been a number of useful methodological and conceptual developments in the area of low income measurement. To make the Canadian LIM methodology consistent with international norms and practices, a revision of the Statistics Canada LIM methodology appears desirable.
This paper describes three modifications to the LIM that Statistics Canada plans to introduce in 2010: replacing the economic family by household; replacing the current LIM equivalence scale by the square root of household size; and taking household size into consideration in determining the low-income thresholds. The paper explains the rationale behind each modification and demonstrates the impacts the revisions will have on low-income statistics in comparison with those under the existing LIM. Overall the revisions do not have any significant effect on broad historic trends in low-income statistics in Canada. However, compared to the existing LIM the revised LIM produces lower estimates of low-income incidence for certain groups of individuals such as unattached non-elderly individuals.
Release date: 2010-06-07 - 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 - Articles and reports: 11-522-X200800010996Description:
In recent years, the use of paradata has become increasingly important to the management of collection activities at Statistics Canada. Particular attention has been paid to social surveys conducted over the phone, like the Survey of Labour and Income Dynamics (SLID). For recent SLID data collections, the number of call attempts was capped at 40 calls. Investigations of the SLID Blaise Transaction History (BTH) files were undertaken to assess the impact of the cap on calls.The purpose of the first study was to inform decisions as to the capping of call attempts, the second study focused on the nature of nonresponse given the limit of 40 attempts.
The use of paradata as auxiliary information for studying and accounting for survey nonresponse was also examined. Nonresponse adjustment models using different paradata variables gathered at the collection stage were compared to the current models based on available auxiliary information from the Labour Force Survey.
Release date: 2009-12-03 - Articles and reports: 11F0019M2002187Geography: CanadaDescription:
Using data from the Assets and Debts Survey of 1984 and the Survey of Financial Security of 1999, we document the evolution of wealth inequality in Canada between 1984 and 1999. Our main findings are as follows: 1) wealth inequality has increased between 1984 and 1999, 2) the growth in wealth inequality has been associated with substantial declines in real average and median wealth for young couples with children and recent immigrants, 3) real median wealth and real average wealth rose much more among family units whose major income recipient is a university graduate than among other family units, 4) real median and average wealth fell among family units whose major income recipient is aged 25-34 and increased among those whose major income recipient is aged 55 and over, 5) the aging of the Canadian population over the 1984-1999 period has tended to reduce wealth inequality, 6) diverging changes in permanent income do not explain a substantial portion of the growing gap between low-wealth and high-wealth family units. Factors that may have contributed to rising wealth inequality - which cannot be quantified with existing data sets - include differences in the growth of inheritances, inter vivos transfers, rates of return on savings and number of years worked full-time. In particular, rates of return on savings may have increased more for wealthy family units than for their poorer counterparts as a result of the booming stock market during the 1990s.
Release date: 2002-02-22
Reference (9)
Reference (9) ((9 results))
- Surveys and statistical programs – Documentation: 62F0026M2010001Description:
This report describes the quality indicators produced for the 2004 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2010-04-26 - Surveys and statistical programs – Documentation: 62F0026M2010002Description:
This report describes the quality indicators produced for the 2005 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2010-04-26 - Surveys and statistical programs – Documentation: 62F0026M2010003Description:
This report describes the quality indicators produced for the 2006 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2010-04-26 - Surveys and statistical programs – Documentation: 13F0026M2007001Description:
This guide will be of assistance when using the public use microdata file (PUMF) of the Survey of Financial Security (SFS) conducted by the Pensions and Wealth Surveys Section of the Income Statistics Division.
Release date: 2007-09-04 - 5. Methodology of the Food Expenditure Survey ArchivedSurveys and statistical programs – Documentation: 62F0026M2005004Description:
The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.
This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.
Release date: 2005-07-08 - Surveys and statistical programs – Documentation: 62F0026M2003001Description:
This report describes the quality indicators produced for the 2001 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates.
Release date: 2003-11-26 - Surveys and statistical programs – Documentation: 75F0002M2002006Description:
This user's guide provides a detailed description of the CD-ROM Income trends in Canada (Catalogue no. 13F0022XCB). It also provides a glossary and a description of the major concepts, as well as an overview of the data source, the Survey of Labour and Income Dynamics (SLID).
Release date: 2002-11-19 - 8. User Guide - Survey of Household Spending, 2000 ArchivedSurveys and statistical programs – Documentation: 62F0026M2001004Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).
Release date: 2001-12-12 - 9. Methodology of the Survey of Household Spending ArchivedSurveys and statistical programs – Documentation: 62F0026M2001003Description:
This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.
Release date: 2001-10-15
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