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Data for Canada, provinces and territories are shown in this table.

This table is part of the topic 'Income and earnings,' which presents data on the income of Canadian individuals, families, and households in the year 2005, including the composition of income, and data that serve to measure low income, known as the low income cut-off (LICO). The data also include the household incomes of Canadians by family type, age, and geography, as well as the household incomes of certain population groups (e.g., immigrants).

The composition of income includes earnings, income from government sources, and investments.

It is possible to subscribe to all the day-of-release bundles. Refer to Catalogue no. 97-569-XCB for more information.

This table is available free on the Internet, Catalogue no. 97-563-XWE2006010.

Data for Canada, provinces and territories are shown in this table.

This table is part of the topic 'Income and earnings,' which presents data on the income of Canadian individuals, families, and households in the year 2005, including the composition of income, and data that serve to measure low income, known as the low income cut-off (LICO). The data also include the household incomes of Canadians by family type, age, and geography, as well as the household incomes of certain population groups (e.g., immigrants).

The composition of income includes earnings, income from government sources, and investments.

It is possible to subscribe to all the day-of-release bundles. Refer to Catalogue no. 97-569-XCB for more information.

This table is available free on the Internet, Catalogue no. 97-563-XWE2006061.

This table presents selected demographic, cultural, labour force, educational and income characteristics focusing on ethnic origins.

This table presents selected demographic, cultural, labour force, educational and income characteristics focusing on aboriginal identity.

This table presents selected demographic, cultural, labour force, educational and income characteristics focusing on Inuit regions.

This table presents selected demographic, cultural, labour force, educational and income characteristics focusing on registered Indian status.

This table presents selected demographic, cultural, labour force, educational and income characteristics focusing on occupations.

This table presents selected demographic, cultural, labour force, educational and income characteristics focusing on industries.

This table presents selected demographic, cultural, labour force, educational and income characteristics focusing on ethnic origins.

This table presents selected demographic, cultural, labour force, educational and income characteristics focusing on immigration status and period of immigration.

Using 2006 Census data, this profile provides a statistical overview of the Aboriginal peoples variables for urban areas.

In the census product line, groups of variables, such as this one, are referred to as release components of profiles. These are made available with the major releases of variables of the census cycle, starting with age and sex. Together, they will form a complete cumulative profile of all the variables for each level of geography, plus one cumulative profile for the dissolved census subdivisions.

Starting with the age and sex major day of release, and on major days of release thereafter, profile component data will be available for particular topics at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area, census agglomeration and census tract levels, and at the federal electoral district (based on the 2003 Representation Order) level. Profile component data for all other standard areas, including dissemination areas, urban areas, designated places and forward sortation areas, will be available approximately four weeks after the major days of release.

In the census product line, groups of variables, such as this one, are referred to as release components of profiles. These are made available with the major releases of variables of the census cycle, starting with age and sex. Together, they will form a complete cumulative profile of all the variables for each level of geography, plus one cumulative profile for the dissolved census subdivisions.

Starting with the age and sex major day of release, and on major days of release thereafter, profile component data will be available for particular topics at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area, census agglomeration and census tract levels, and at the federal electoral district (based on the 2003 Representation Order) level. Profile component data for all other standard areas, including dissemination areas, urban areas, designated places and forward sortation areas, will be available approximately four weeks after the major days of release.

The profiles include agricultural statistics on population and farm operators, land use and land practices, farm finances, crops and horticulture, and livestock for most communities at the census consolidated subdivision (CCS), census division (CD) and census agriculture region (CAR) geographic levels. The 2006 Agriculture Community Profiles provide free information from Statistics Canada's 2006 Census of Agriculture data.

This bulletin contains preliminary annual statistics on airports. The data are taken from the NAV CANADA aircraft movements system and are sent to Statistics Canada electronically.

The data in this bulletin represent preliminary monthly statistics for airports which provide their data in an electronic format from the NAV CANADA aircraft movements system (NCAMS).

This profile contains free information on the Aboriginal identity population for various Canadian communities where the Aboriginal identity population count is 250 or more. Canadian communities include: cities, towns, villages, Indian reserves and Indian settlements, counties or their equivalents, and metropolitan areas.

Using 2006 Census data, this profile provides a statistical overview of the Aboriginal peoples variables for Canada, provinces, territories, census divisions and census subdivisions.

In the census product line, groups of variables, such as this one, are referred to as release components of profiles. These are made available with the major releases of variables of the census cycle, starting with age and sex. Together, they will form a complete cumulative profile of all the variables for each level of geography, plus one cumulative profile for the dissolved census subdivisions.

Starting with the age and sex major day of release, and on major days of release thereafter, profile component data will be available for particular topics at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area, census agglomeration and census tract levels, and at the federal electoral district (based on the 2003 Representation Order) level. Profile component data for all other standard areas, including dissemination areas, urban areas, designated places and forward sortation areas, will be available approximately four weeks after the major days of release.

Using 2006 Census data, this profile provides a statistical overview of the Aboriginal peoples variables for census metropolitan areas and census agglomerations.

In the census product line, groups of variables, such as this one, are referred to as release components of profiles. These are made available with the major releases of variables of the census cycle, starting with age and sex. Together, they will form a complete cumulative profile of all the variables for each level of geography, plus one cumulative profile for the dissolved census subdivisions.

Starting with the age and sex major day of release, and on major days of release thereafter, profile component data will be available for particular topics at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area, census agglomeration and census tract levels, and at the federal electoral district (based on the 2003 Representation Order) level. Profile component data for all other standard areas, including dissemination areas, urban areas, designated places and forward sortation areas, will be available approximately four weeks after the major days of release.

This table is available free on the Internet, Catalogue no. 94-578-XWE2006004.

Using 2006 Census data, this profile provides a statistical overview of the Aboriginal peoples variables for census metropolitan areas, tracted census agglomerations and census tracts.

In the census product line, groups of variables, such as this one, are referred to as release components of profiles. These are made available with the major releases of variables of the census cycle, starting with age and sex. Together, they will form a complete cumulative profile of all the variables for each level of geography, plus one cumulative profile for the dissolved census subdivisions.

Starting with the age and sex major day of release, and on major days of release thereafter, profile component data will be available for particular topics at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area, census agglomeration and census tract levels, and at the federal electoral district (based on the 2003 Representation Order) level. Profile component data for all other standard areas, including dissemination areas, urban areas, designated places and forward sortation areas, will be available approximately four weeks after the major days of release.

Using 2006 Census data, this profile provides a statistical overview of the Aboriginal peoples variables for Canada, provinces, territories and federal electoral districts (2003 Representation Order).

In the census product line, groups of variables, such as this one, are referred to as release components of profiles. These are made available with the major releases of variables of the census cycle, starting with age and sex. Together, they will form a complete cumulative profile of all the variables for each level of geography, plus one cumulative profile for the dissolved census subdivisions.

Starting with the age and sex major day of release, and on major days of release thereafter, profile component data will be available for particular topics at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area, census agglomeration and census tract levels, and at the federal electoral district (based on the 2003 Representation Order) level. Profile component data for all other standard areas, including dissemination areas, urban areas, designated places and forward sortation areas, will be available approximately four weeks after the major days of release.

The European Community Household Panel (ECHP) is a panel survey covering a wide range of topics regarding economic, social and living conditions. In particular, it makes it possible to calculate disposable equivalized household income, which is a key variable in the study of economic inequity and poverty. To obtain reliable estimates of the average of this variable for regions within countries it is necessary to have recourse to small area estimation methods. In this paper, we focus on empirical best linear predictors of the average equivalized income based on "unit level models" borrowing strength across both areas and times. Using a simulation study based on ECHP data, we compare the suggested estimators with cross-sectional model-based and design-based estimators. In the case of these empirical predictors, we also compare three different MSE estimators. Results show that those estimators connected to models that take units' autocorrelation into account lead to a significant gain in efficiency, even when there are no covariates available whose population mean is known.

Coverage deficiencies are estimated and analysed for the 2000 population census in Switzerland. For the undercoverage component, the estimation is based on a sample independent of the census and a match with the census. For the overcoverage component, the estimation is based on a sample drawn from the census list and a match with the rest of the census. The over- and undercoverage components are then combined to obtain an estimate of the resulting net coverage. This estimate is based on a capture-recapture model, named the dual system, combined with a synthetic model. The estimators are calculated for the full population and different subgroups, with a variance estimated by a stratified jackknife. The coverage analyses are supplemented by a study of matches between the independent sample and the census in order to determine potential errors of measurement and location in the census data.

In this paper we describe a methodology for combining a convenience sample with a probability sample in order to produce an estimator with a smaller mean squared error (MSE) than estimators based on only the probability sample. We then explore the properties of the resulting composite estimator, a linear combination of the convenience and probability sample estimators with weights that are a function of bias. We discuss the estimator's properties in the context of web-based convenience sampling. Our analysis demonstrates that the use of a convenience sample to supplement a probability sample for improvements in the MSE of estimation may be practical only under limited circumstances. First, the remaining bias of the estimator based on the convenience sample must be quite small, equivalent to no more than 0.1 of the outcome's population standard deviation. For a dichotomous outcome, this implies a bias of no more than five percentage points at 50 percent prevalence and no more than three percentage points at 10 percent prevalence. Second, the probability sample should contain at least 1,000-10,000 observations for adequate estimation of the bias of the convenience sample estimator. Third, it must be inexpensive and feasible to collect at least thousands (and probably tens of thousands) of web-based convenience observations. The conclusions about the limited usefulness of convenience samples with estimator bias of more than 0.1 standard deviations also apply to direct use of estimators based on that sample.

In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

This paper focuses on the role of investments in infrastructure in Canada. The size of infrastructure investments relative to other capital stock sets this country apart from most other Organisation for Economic Co-operation and Development countries. The paper reviews the approaches taken by other researchers to define infrastructure. It then outlines a taxonomy to define those assets that should be considered as infrastructure and that can be used to assess the importance of different types of capital investments. It briefly considers how to define the portion of infrastructure that should be considered 'public'. The final two parts of the paper apply the proposed classification system to data on Canada's capital stock, and ask the following questions: how much infrastructure does Canada have and in which sectors of the economy is this infrastructure located? Finally, the paper investigates how Canada's infrastructure has evolved over the last four decades, both in the commercial and non-commercial sectors, and compares these trends with the pattern that can be found in the United States.

This guide focuses on the following demographic variables: Mobility and migration.

Provides information that enables users to effectively use, apply and interpret data from the 2006 Census. Each guide contains definitions and explanations on census concepts, data quality and historical comparability. Additional information will be included for specific variables to help general users better understand the concepts and questions used in the census.

These guides provide information that enables users to effectively use, apply and interpret data from the 2006 Census. Each guide contains definitions and explanations on census concepts, data quality and historical comparability. Additional information will be included for specific variables to help general users better understand the concepts and questions used in the census.

Starting in 1994, the Survey of Labour and Income Dynamics (SLID) will follow individuals and families for at least six years, tracking their labour market experiences, changes in income and family circumstances. An initial proposal for the content of SLID, entitled "Content of the Survey of Labour and Income Dynamics : Discussion Paper", was distributed in February 1992.

That paper served as a background document for consultation with and a review by interested users. The content underwent significant change during this process. Based upon the revised content, a large-scale test of SLID will be conducted in February and May 1993.

The present document outlines the income and wealth content to be tested in May 1993. This document is really a continuation of SLID Research Paper Series 92-01A, which outlines the demographic and labour content used in the January /February 1993 test.

When a survey respondent is asked to recall various events, it is known that the quality of the responses diminishes as the length of recall increases. On the other hand, increasing the frequency of data collection increases both the costs of collection and the burden on the respondents. The paper examines options which attempt to strike a reasonable balance between these factors. As it relates to this decision, the paper also describes how the sample has been designed to ensure that it remains representative of the target population, both for a given year and over time.

The conclusion is that, at this time, SLID should collect labour data in January to cover the previous calendar year and to collect income data in May, again to cover the previous calendar year.

A Preliminary Interview will be conducted on the first panel of SLID, in January 1993, as a supplement to the Labour Force Survey. The first panel is made up of about 20,000 households that are rotating out of the Labour Force Survey in January and February, 1993.

The purpose of this document is to provide a description of the purpose of the SLID Preliminary Interview and the question wordings to be used.

This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

This paper provides an overview of the productivity program at Statistics Canada and a brief description of Canada's productivity performance. The paper defines productivity and the various measures that are used to investigate different aspects of productivity growth. It describes the difference between partial productivity measures (such as labour productivity) and a more complete measure (multifactor productivity) and the advantages and disadvantages of each. The paper explains why productivity is important. It outlines how productivity growth fits into the growth accounting framework and how this framework is used to examine the various sources of economic growth. The paper briefly discusses the challenges that face statisticians in measuring productivity growth. It also provides an overview of Canada's long-term productivity performance and compares Canada to the United States - both in terms of productivity levels and productivity growth rates.

The Record Linkage Overview describes the process used in annual internal record linkage of the Canadian Cancer Registry. The steps include: preparation; pre-processing; record linkage; post-processing; analysis and resolution; resolution entry; and, resolution processing.

The compendium of Canadian Cancer Registry procedures manuals set out the rules for reporting cancer data to the CCR for all provincial and territorial cancer registries.