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This report contains data from the GST/HST New Housing Rebate File (1996-2000) including: average fair market value; average rebate; total value of rebates; and total value of housing sales. Annual breakdowns are available by province, Census Metropolitan Areas/Census Agglomerations (CMA/CA), and component Census Subdivisions (CSDs) of each CMA/CA.

The 2001 Participation and Activity Limitation Survey (PALS) is a post-censal survey of adults and children whose everyday activities are limited because of a condition or health problem. A sample of those persons who answered "Yes" to the 2001 Census disability filter questions were included in the PALS survey population. Approximately 35,000 adults and 8,000 children living in private, and some collective, households in the 10 provinces were selected to participate in the survey. The data were collected in the fall of 2001. The survey was last conducted after the 1991 Census under the title of the 1991 Health and Activity Limitation Survey (HALS). This report presents an overview of the methodological and content changes between the 1991 HALS and the 2001 PALS. The major differences include new census disability filter questions, a new sampling plan and new questionnaire content.

The 2001 Participation and Activity Limitation Survey (PALS) is a post-censal survey of adults and children whose everyday activities are limited because of a condition or health problem. A sample of those persons who answered 'Yes' to the 2001 Census disability filter questions were included in the PALS survey population. Approximately 35,000 adults and 8,000 children living in private and some collective households in the 10 provinces were selected to participate in the survey. The data were collected after the 2001 Census, in the fall of 2001.

These tables contain data on the number of adults and children with disabilities, disability rates, as well as the type and severity of disability, by age and sex, for Canada and the provinces.

This 2001 Census profile shows marital status, common-law status, families, dwellings, households and collectives variables .

The profiles provide a statistical overview of various geographic areas based on a large number of detailed variables. Groups of variables, referred to as electronic components of profiles, was made available in each of the eight major releases. Together they form a complete profile.

The profiles are part of the census standard data products, which are data tables extracted from the 2001 Census database.

They contain statistical information about all population, household, dwelling and family characteristics.

Like most statistical agencies, Statistics Canada publishes three Gross Domestic Product (GDP) series. These are the output-based GDP, the income-based GDP and the expenditure-based GDP. This document is aimed at describing the concepts, definitions, classifications and statistical methods underlying the output-based GDP series, also known as GDP by industry or simply monthly GDP.

The report is organized into seven chapters. Chapter 1 defines what GDP by industry is, describes its various uses and how it connects with the other components of the Canadian System of National Accounts. Chapter 2 deals with the calculation of the GDP by industry estimates. Chapter 3 examines industry and commodity classification schemes. Chapter 4 discusses the subject of deflation. The choice of deflators, the role of the base year and the method of rebasing are all addressed in this chapter. Chapter 5 looks at such technical issues as benchmarking, trading day and seasonal adjustment. Chapter 6 is devoted to the presentation of the GDP by industry, detailing the format, release dates and modes of dissemination, as well as the need and the frequency of revising the estimates. Finally, Chapter 7 reviews the historical development of monthly GDP from 1926 to the present.

The Forward Sortation Areas Boundary File Reference Guide is available for the following product: Forward Sortation Areas Boundary File (Catalogue no. 92F0170XCE). The reference guide describes the content and applications of these products, as well as data quality, record layouts and other information.

Institutions in the higher education sector usually have records of funds received by them specifically for research and development , and some can provide lists of research projects carried out by staff. The research and development expenditure estimates are based on reports of payments awarded to institutions through the annual survey of the Canadian Association of University Business Officers (CAUBO).

Gross domestic expenditures on research and development (GERD) represents total research and development expenditures performed in a country's national territory during a given year. GERD includes R&D performed within a country and funded from abroad but excludes payments sent abroad for research and development performed in other countries.

This table shows 2001 Census data for the following levels of geography: Canada, provinces, territories, census divisions, census subdivisions and dissemination areas.

This table is part of the topic "Housing," which presents 2001 Census data on dwellings, including structural type of dwelling, number of rooms and bedrooms, condition of dwelling and period of construction, as well as data on households, including household maintainer and tenure (owned, rented and band housing).

It is also possible to subscribe to all the day-of-release bundles. Refer to Catalogue No. 97F0023XCB for more information

This table shows 2001 Census data for the following levels of geography: census metropolitan areas, tracted census agglomerations and census tracts.

This table is part of the topic "Housing," which presents 2001 Census data on dwellings, including structural type of dwelling, number of rooms and bedrooms, condition of dwelling and period of construction, as well as data on households, including household maintainer and tenure (owned, rented and band housing).

It is also possible to subscribe to all the day-of-release bundles. Refer to Catalogue No. 97F0023XCB for more information.

This table shows 2001 Census data for the following levels of geography: census metropolitan areas, tracted census agglomerations and census tracts.

This table is part of the topic "Housing," which presents 2001 Census data on dwellings, including structural type of dwelling, number of rooms and bedrooms, condition of dwelling and period of construction, as well as data on households, including household maintainer and tenure (owned, rented and band housing).

It is also possible to subscribe to all the day-of-release bundles. Refer to Catalogue No. 97F0023XCB for more information.

This table shows 2001 Census data for the following levels of geography: Canada, provinces, territories and forward sortation areas.

This table is part of the topic "Housing," which presents 2001 Census data on dwellings, including structural type of dwelling, number of rooms and bedrooms, condition of dwelling and period of construction, as well as data on households, including household maintainer and tenure (owned, rented and band housing).

It is also possible to subscribe to all the day-of-release bundles. Refer to Catalogue No. 97F0023XCB for more information.

This table shows 2001 Census data for the following levels of geography: census metropolitan areas, census agglomerations and census tracts.

This table is part of the topic "Housing," which presents 2001 Census data on dwellings, including structural type of dwelling, number of rooms and bedrooms, condition of dwelling and period of construction, as well as data on households, including household maintainer and tenure (owned, rented and band housing).

It is also possible to subscribe to all the day-of-release bundles. Refer to Catalogue No. 97F0023XCB for more information.

This table shows 2001 Census data for the following levels of geography: census metropolitan areas, census agglomerations and census tracts.

This table is part of the topic "Housing," which presents 2001 Census data on dwellings, including structural type of dwelling, number of rooms and bedrooms, condition of dwelling and period of construction, as well as data on households, including household maintainer and tenure (owned, rented and band housing).

It is also possible to subscribe to all the day-of-release bundles. Refer to Catalogue No. 97F0023XCB for more information.

This table shows 2001 Census data for the following levels of geography: Canada, provinces, territories and forward sortation areas.

This table is part of the topic "Housing," which presents 2001 Census data on dwellings, including structural type of dwelling, number of rooms and bedrooms, condition of dwelling and period of construction, as well as data on households, including household maintainer and tenure (owned, rented and band housing).

It is also possible to subscribe to all the day-of-release bundles. Refer to Catalogue No. 97F0023XCB for more information.

Using 2001 Census data, this profile provides a statistical overview of the marital status and common-law status variables for Canada, provinces, territories and forward sortation areas.

On each of the days of release, profile component data will be available for particular topics at the Canada, province/territory, census division and census subdivision levels. Profile component data for all other standard areas, including census metropolitan areas, census agglomerations, census tracts, federal electoral districts (based on the 1996 Representation Order), dissemination areas and forward sortation areas, will be available approximately four weeks after the initial release.

In the census product line, groups of variables, such as this one, are referred to as electronic components of profiles. These are made available in each of the eight major releases of variables of the census cycle. 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.

Using 2001 Census data, this profile provides a statistical overview of the marital status and common-law status variables for census metropolitan areas and census agglomerations.

On each of the days of release, profile component data will be available for particular topics at the Canada, province/territory, census division and census subdivision levels. Profile component data for all other standard areas, including census metropolitan areas, census agglomerations, census tracts, federal electoral districts (based on the 1996 Representation Order), dissemination areas and forward sortation areas, will be available approximately four weeks after the initial release.

In the census product line, groups of variables, such as this one, are referred to as electronic components of profiles. These are made available in each of the eight major releases of variables of the census cycle. 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.

Using 2001 Census data, this profile provides a statistical overview of the marital status and common-law status variables for census metropolitan areas, tracted census agglomerations and census tracts.

On each of the days of release, profile component data will be available for particular topics at the Canada, province/territory, census division and census subdivision levels. Profile component data for all other standard areas, including census metropolitan areas, census agglomerations, census tracts, federal electoral districts (based on the 1996 Representation Order), dissemination areas and forward sortation areas, will be available approximately four weeks after the initial release.

In the census product line, groups of variables, such as this one, are referred to as electronic components of profiles. These are made available in each of the eight major releases of variables of the census cycle. 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.

Using 2001 Census data, this profile provides a statistical overview of the marital status and common-law status variables for census metropolitan areas, census agglomerations and census subdivisions.

On each of the days of release, profile component data will be available for particular topics at the Canada, province/territory, census division and census subdivision levels. Profile component data for all other standard areas, including census metropolitan areas, census agglomerations, census tracts, federal electoral districts (based on the 1996 Representation Order), dissemination areas and forward sortation areas, will be available approximately four weeks after the initial release.

In the census product line, groups of variables, such as this one, are referred to as electronic components of profiles. These are made available in each of the eight major releases of variables of the census cycle. 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.

Using 2001 Census data, this profile provides a statistical overview of the marital status and common-law status variables for Canada, provinces, territories and federal electoral districts (by 1996 Representation Order).

On each of the days of release, profile component data will be available for particular topics at the Canada, province/territory, census division and census subdivision levels. Profile component data for all other standard areas, including census metropolitan areas, census agglomerations, census tracts, federal electoral districts (based on the 1996 Representation Order), dissemination areas and forward sortation areas, will be available approximately four weeks after the initial release.

In the census product line, groups of variables, such as this one, are referred to as electronic components of profiles. These are made available in each of the eight major releases of variables of the census cycle. 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.

In this paper, we discuss the application of the bootstrap with a re-imputation step to capture the imputation variance (Shao and Sitter 1996) in stratified multistage sampling. We propose a modified bootstrap that does not require rescaling so that Shao and Sitter's procedure can be applied to the case where random imputation is applied and the first-stage stratum sample sizes are very small. This provides a unified method that works irrespective of the imputation method (random or nonrandom), the stratum size (small or large), the type of estimator (smooth or nonsmooth), or the type of problem (variance estimation or sampling distribution estimation). In addition, we discuss the proper Monte Carlo approximation to the bootstrap variance, when using re-imputation together with resampling methods. In this setting, more care is needed than is typical. Similar results are obtained for the method of balanced repeated replications, which is often used in surveys and can be viewed as an analytic approximation to the bootstrap. Finally, some simulation results are presented to study finite sample properties and various variance estimators for imputed data.

Local polynomial regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed method relies on binning the data on the x-variable and calculating the appropriate survey estimates for the mean of the y-values at each bin. When binning on x has been carried out to the precision of the recorded data, the method is the same as applying the survey weights to the standard criterion for obtaining local polynomial regression estimates. The alternative of using classical polynomial regression is also considered and a criterion is proposed to decide whether the nonparametric approach to modeling should be preferred over the classical approach. Illustrative examples are given from the 1990 Ontario Health Survey.

A compositional time series is defined as a multivariate time series in which each of the series has values bounded between zero and one and the sum of the series equals one at each time point. Data with such characteristics are observed in repeated surveys when a survey variable has a multinomial response but interest lies in the proportion of units classified in each of its categories. In this case, the survey estimates are proportions of a whole subject to a unity-sum constraint. In this paper we employ a state space approach for modelling compositional time series from repeated surveys taking into account the sampling errors. The additive logistic transformation is used in order to guarantee predictions and signal estimates bounded between zero and one which satisfy the unity-sum constraint. The method is applied to compositional data from the Brazilian Labour Force Survey. Estimates of the vector of proportions and the unemployment rate are obtained. In addition, the structural components of the signal vector, such as the seasonals and the trends, are produced.

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.

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.

This, the first issue of 2002 presents an opportunity to recapitulate some of the findings that we have reported during the life of the Bulletin. In an interview, Dr. Fred Gault, Director of Statistics Canada's Science, Innovation and Electronic Information Division, discusses some of the findings on innovation, e-commerce, emerging technologies, Internet use, the telecommunications industry, R&D and commercialization.

Canadian manufacturing firms fall into two groups: The first uses patents and trademarks as a part of successful innovation strategy consisting of regular R&D financed by R&D grants and tax credits introducing world-first innovations. These are usually large firms in the technology-intensive core sector. The second group includes firms of all sizes in all sectors that rely mostly on trade secrets. They typically transfer technology from abroad by introducing Canada-first innovations and rely on government information services more than on R&D grants and tax credits.

In September 2000, a small international group met to develop a survey on knowledge management. Creating the pilot questionnaire required a cooperative effort on behalf of survey taking experts, knowledge management specialists and policy analysts. Bringing together a preliminary questionnaire that met the basic requirements of a group of dynamic and outspoken experts, each with individual and collective objectives was not a simple task.

According to the report Profile of Spin-off Firms in the Biotechnology Sector, three out of every 10 companies in Canada's rapidly expanding biotechnology sector in 1999 were spin-offs. These firms, which range from corporate spin-offs to biotechnology companies created by universities and research hospitals, accounted for more than one-quarter of total revenues in 1999.

Given that science and technology skills are a high priority for maintaining Canada's competitive advantage in the new economy, the obvious question is: Where do S&T skills come from and how does Canada compare with other countries? Read the findings from a recent Statistics Canada study that examines the ins and outs of the science stream, starting in Grade 4 through to the workforce.

The Cartographic Boundary Files Reference Guide is available for the following products:

- Provinces and Territories Cartographic Boundary File (Catalogue No. 92F0160XCE).- Census Divisions and Economic Regions Cartographic Boundary Files (Catalogue No. 92F0161XCE)- Census Subdivisions Cartographic Boundary Files (Catalogue No. 92F0162XCE)- Federal Electoral Districts (1996 Representation Order) Cartographic Boundary File (Catalogue No. 92F0163XCE)- Urban Areas Cartographic Boundary File (Catalogue No. 92F0164XCE)- Designated Places Cartographic Boundary File (Catalogue No. 92F0165XCE)- Census Metropolitan Areas and Census Agglomerations Cartographic Boundary File (Catalogue No. 92F0166XCE)- Census Consolidated Subdivisions Cartographic Boundary File (Catalogue No. 92F0167XCE)- Census Tracts Cartographic Boundary Files (Catalogue No. 92F0168XCE)- Dissemination Areas Cartographic Boundary Files (Catalogue No. 92F0169XCE)

The Reference Guide describes the content and applications of these products, as well as data quality, record layouts, and other information.

The 2001 Census defines 27 census metropolitan area (CMAs) and 19 census agglomerations (CAs) with census tracts. This working paper includes three maps for each of these CMAs and CAs. The first map shows the boundary of the CMA/CA and the boundaries of the census subdivision (CSD) components of the CMA/CA for the 1996 Census. The second map shows the transition from 1996 to 2001 (with boundary changes highlighted), and the third map shows the CMA/CA (and component CSDs) as it is defined for the 2001 Census. Accompanying tables list the component census subdivisions and the criteria which they meet to be included in the CMA or CA. The paper describes various factors that can result in changes to the boundaries of CMAs and CAs. For the 2001 Census, municipal restructuring is the factor that has had the greatest impact on the boundaries of some CMAs and CAs.The paper also briefly describes and compares the delineation criteria for metropolitan areas in the United States with those for census metropolitan areas in Canada. An indication is given of the impact on the Canadian CMA program if the American metropolitan area criteria were used.

This book introduces technical aspects of the Statistics Canada Total Work Accounts System (TWAS). The TWAS is designed to facilitate the analysis of issues that require simultaneous consideration of both paid work and unpaid productive work. Its key contribution is to allocate the deemed output of each episode of unpaid work activity to a specific beneficiary or group of beneficiaries (called "destinations"). The guide presents the criteria used to decide the allocation of each work episode to one of the destinations, as well as the pseudo code for DESTIN, the key variable of the System. This pseudo code allows programmers to quickly create the actual programming code needed to derive the DESTIN variable in their own microdata files of diary-based time-use records. The guide also discusses illustrative applications of the System, as well as its key limitations.

As of January 31, 2002 the monthly GDP by industry estimates will include Information and Communications Technologies (ICT) series. Three new aggregation series for the Information and Communications Technologies (ICT) sector and its manufacturing and services components are available back to January 1997 on CANSIM II.

This publication offers a first look at the range of products and services available from the Census of Population, and the Census of Agriculture, of 2001. This publication presents general information on the content, release dates, format, and prices for different products.

Features for the 2001 Census preview include the topics and dates for the main data releases. Reference, geography, analytical, and standard data products are described, as well as custom data services. The Census of Agriculture database serves as the source for additional products and services.

This series includes six general reference products: Preview of Products and Services, Census Dictionary, Catalogue, Standard Products Stubsets, Census Handbook and Technical Reports.

This user's guide provides a detailed description of the CD-ROM Income trends in Canada (13F0022XCB). It also provides a glossary, a description of the major concepts as well as an overview of the data source, the Survey of Labour and Income Dynamics (SLID).