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- Census of Population (2)
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- Annual Demographic Estimates: Canada, Provinces and Territories (1)
- Estimates of population, by marital status or legal marital Status, age and sex for July 1, Canada, provinces and territories (1)
- Estimates of the number of census families for July 1st, Canada, provinces and territories (1)
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All (9) ((9 results))
- Surveys and statistical programs – Documentation: 91-620-XDescription: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.Release date: 2022-08-22
- Surveys and statistical programs – Documentation: 91-528-XDescription:
This manual provides detailed descriptions of the data sources and methods used by Statistics Canada to estimate population. They comprise Postcensal and intercensal population estimates; base population; births and deaths; immigration; emigration; non-permanent residents; interprovincial migration; subprovincial estimates of population; population estimates by age, sex and marital status; and census family estimates. A glossary of principal terms is contained at the end of the manual, followed by the standard notation used.
Until now, literature on the methodological changes for estimates calculations has always been spread throughout various Statistics Canada publications and background papers. This manual provides users of demographic statistics with a comprehensive compilation of the current procedures used by Statistics Canada to prepare population and family estimates.
Release date: 2015-11-17 - Surveys and statistical programs – Documentation: 99-010-X2011009Description:
This reference guide provides information that enables users to effectively use, apply and interpret data from the 2011 National Household Survey (NHS). This guide contains definitions and explanations of concepts, classifications, data quality and comparability to other sources. Additional information is included for specific variables to help general users better understand the concepts and questions used in the NHS.
Release date: 2013-05-08 - 4. 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 - 5. Creating and enhancing a population-based linked health database: methods, challenges, and applications ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015662Description:
As the availability of both health utilization and outcome information becomes increasingly important to health care researchers and policy makers, the ability to link person-specific health data becomes a critical objective. This type of linkage of population-based administrative health databases has been realized in British Columbia. The database was created by constructing an historical file of all persons registered with the health care system, and then by probabilistically linking various program files to this 'coordinating' file. The first phase of development included the linkage of hospital discharge data, physician billing data, continuing care data, data about drug costs for the elderly, births data and deaths data. The second phase of development has seen the addition data sources external to the Ministry of Health including cancer incidence data, workers' compensation data, and income assistance data.
Release date: 2000-03-02 - Surveys and statistical programs – Documentation: 11-522-X19990015670Description:
To reach their target audience efficiently, advertisers and media planners need information on which media their customers use. For instance, they may need to know what percentage of Diet Coke drinkers watch Baywatch, or how many AT&T customers have seen an advertisement for Sprint during the last week. All the relevant data could theoretically be collected from each respondent. However, obtaining full detailed and accurate information would be very expensive. It would also impose a heavy respondent burden under current data collection technology. This information is currently collected through separate surveys in New Zealand and in many other countries. Exposure to the major media is measured continuously, and product usage studies are common. Statistical matching techniques provide a way of combining these separate information sources. The New Zealand television ratings database was combined with a syndicated survey of print readership and product usage, using statistical matching. The resulting Panorama service meets the targeting information needs of advertisers and media planners. It has since been duplicated in Australia. This paper discusses the development of the statistical matching framework for combining these databases, and the heuristics and techniques used. These included an experiment conducted using a screening design to identify important matching variables. Studies evaluating and validating the combined results are also summarized. The following three major evaluation criteria were used; accuracy of combined results, statibility of combined results and the preservation of currency results from the component databases. The paper then discusses how the prerequisites for combining the databases were met. The biggest hurdle at this stage was the differences between the analysis techniques used on the two component databases. Finally, suggestions for developing similar statistical matching systems elsewhere will be given.
Release date: 2000-03-02 - Surveys and statistical programs – Documentation: 92-370-XDescription:
Series description
This series includes five general reference products - the Preview of Products and Services; the Catalogue; the Dictionary; the Handbook and the Technical Reports - as well as geography reference products - GeoSuite and Reference Maps.
Product description
Technical Reports examine the quality of data from the 1996 Census, a large and complex undertaking. While considerable effort was taken to ensure high quality standards throughout each step, the results are subject to a certain degree of error. Each report looks at the collection and processing operations and presents results from data evaluation, as well as notes on historical comparability.
Technical Reports are aimed at moderate and sophisticated users but are written in a manner which could make them useful to all census data users. Most of the technical reports have been cancelled, with the exception of Age, Sex, Marital Status and Common-law Status, Coverage and Sampling and Weighting. These reports will be available as bilingual publications as well as being available in both official languages on the Internet as free products.
This report deals with coverage errors, which occured when persons, households, dwellings or families were missed by the 1996 Census or enumerated in error. Coverage errors are one of the most important types of error since they affect not only the accuracy of the counts of the various census universes but also the accuracy of all of the census data describing the characteristics of these universes. With this information, users can determine the risks involved in basing conclusions or decisions on census data.
Release date: 1999-12-14 - Surveys and statistical programs – Documentation: 11-522-X19980015028Description:
We address the problem of estimation for the income dynamics statistics calculated from complex longitudinal surveys. In addition, we compare two design-based estimators of longitudinal proportions and transition rates in terms of variability under large attrition rates. One estimator is based on the cross-sectional samples for the estimation of the income class boundaries at each time period and on the longitudinal sample for the estimation of the longitudinal counts; the other estimator is entirely based on the longitudinal sample, both for the estimation of the class boundaries and the longitudinal counts. We develop Taylor linearization-type variance estimators for both the longitudinal and the mixed estimator under the assumption of no change in the population, and for the mixed estimator when there is change.
Release date: 1999-10-22 - Surveys and statistical programs – Documentation: 81F0004GDescription:
The guide lists and briefly describes the main sources of data, and for each source gives: data coverage, main variables available, strengths and limitation of the data, historical continuity, frequency and means of dissemination, indication of the type of analysis that can be performed.
Release date: 1998-03-30
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Reference (9)
Reference (9) ((9 results))
- Surveys and statistical programs – Documentation: 91-620-XDescription: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.Release date: 2022-08-22
- Surveys and statistical programs – Documentation: 91-528-XDescription:
This manual provides detailed descriptions of the data sources and methods used by Statistics Canada to estimate population. They comprise Postcensal and intercensal population estimates; base population; births and deaths; immigration; emigration; non-permanent residents; interprovincial migration; subprovincial estimates of population; population estimates by age, sex and marital status; and census family estimates. A glossary of principal terms is contained at the end of the manual, followed by the standard notation used.
Until now, literature on the methodological changes for estimates calculations has always been spread throughout various Statistics Canada publications and background papers. This manual provides users of demographic statistics with a comprehensive compilation of the current procedures used by Statistics Canada to prepare population and family estimates.
Release date: 2015-11-17 - Surveys and statistical programs – Documentation: 99-010-X2011009Description:
This reference guide provides information that enables users to effectively use, apply and interpret data from the 2011 National Household Survey (NHS). This guide contains definitions and explanations of concepts, classifications, data quality and comparability to other sources. Additional information is included for specific variables to help general users better understand the concepts and questions used in the NHS.
Release date: 2013-05-08 - 4. 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 - 5. Creating and enhancing a population-based linked health database: methods, challenges, and applications ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015662Description:
As the availability of both health utilization and outcome information becomes increasingly important to health care researchers and policy makers, the ability to link person-specific health data becomes a critical objective. This type of linkage of population-based administrative health databases has been realized in British Columbia. The database was created by constructing an historical file of all persons registered with the health care system, and then by probabilistically linking various program files to this 'coordinating' file. The first phase of development included the linkage of hospital discharge data, physician billing data, continuing care data, data about drug costs for the elderly, births data and deaths data. The second phase of development has seen the addition data sources external to the Ministry of Health including cancer incidence data, workers' compensation data, and income assistance data.
Release date: 2000-03-02 - Surveys and statistical programs – Documentation: 11-522-X19990015670Description:
To reach their target audience efficiently, advertisers and media planners need information on which media their customers use. For instance, they may need to know what percentage of Diet Coke drinkers watch Baywatch, or how many AT&T customers have seen an advertisement for Sprint during the last week. All the relevant data could theoretically be collected from each respondent. However, obtaining full detailed and accurate information would be very expensive. It would also impose a heavy respondent burden under current data collection technology. This information is currently collected through separate surveys in New Zealand and in many other countries. Exposure to the major media is measured continuously, and product usage studies are common. Statistical matching techniques provide a way of combining these separate information sources. The New Zealand television ratings database was combined with a syndicated survey of print readership and product usage, using statistical matching. The resulting Panorama service meets the targeting information needs of advertisers and media planners. It has since been duplicated in Australia. This paper discusses the development of the statistical matching framework for combining these databases, and the heuristics and techniques used. These included an experiment conducted using a screening design to identify important matching variables. Studies evaluating and validating the combined results are also summarized. The following three major evaluation criteria were used; accuracy of combined results, statibility of combined results and the preservation of currency results from the component databases. The paper then discusses how the prerequisites for combining the databases were met. The biggest hurdle at this stage was the differences between the analysis techniques used on the two component databases. Finally, suggestions for developing similar statistical matching systems elsewhere will be given.
Release date: 2000-03-02 - Surveys and statistical programs – Documentation: 92-370-XDescription:
Series description
This series includes five general reference products - the Preview of Products and Services; the Catalogue; the Dictionary; the Handbook and the Technical Reports - as well as geography reference products - GeoSuite and Reference Maps.
Product description
Technical Reports examine the quality of data from the 1996 Census, a large and complex undertaking. While considerable effort was taken to ensure high quality standards throughout each step, the results are subject to a certain degree of error. Each report looks at the collection and processing operations and presents results from data evaluation, as well as notes on historical comparability.
Technical Reports are aimed at moderate and sophisticated users but are written in a manner which could make them useful to all census data users. Most of the technical reports have been cancelled, with the exception of Age, Sex, Marital Status and Common-law Status, Coverage and Sampling and Weighting. These reports will be available as bilingual publications as well as being available in both official languages on the Internet as free products.
This report deals with coverage errors, which occured when persons, households, dwellings or families were missed by the 1996 Census or enumerated in error. Coverage errors are one of the most important types of error since they affect not only the accuracy of the counts of the various census universes but also the accuracy of all of the census data describing the characteristics of these universes. With this information, users can determine the risks involved in basing conclusions or decisions on census data.
Release date: 1999-12-14 - Surveys and statistical programs – Documentation: 11-522-X19980015028Description:
We address the problem of estimation for the income dynamics statistics calculated from complex longitudinal surveys. In addition, we compare two design-based estimators of longitudinal proportions and transition rates in terms of variability under large attrition rates. One estimator is based on the cross-sectional samples for the estimation of the income class boundaries at each time period and on the longitudinal sample for the estimation of the longitudinal counts; the other estimator is entirely based on the longitudinal sample, both for the estimation of the class boundaries and the longitudinal counts. We develop Taylor linearization-type variance estimators for both the longitudinal and the mixed estimator under the assumption of no change in the population, and for the mixed estimator when there is change.
Release date: 1999-10-22 - Surveys and statistical programs – Documentation: 81F0004GDescription:
The guide lists and briefly describes the main sources of data, and for each source gives: data coverage, main variables available, strengths and limitation of the data, historical continuity, frequency and means of dissemination, indication of the type of analysis that can be performed.
Release date: 1998-03-30
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