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- Journals and periodicals: 45-20-0003Description: The ‘Eh Sayers’ podcast explores data of interest to Canadians, like social or news-worthy topics. It also aims to foster data literacy and deliver insight into the lives of Canadians by exploring the data the agency produces and tying it to real life situations through storytelling.Release date: 2024-06-06
- Articles and reports: 11-633-X2022002Description:
This paper provides a description of the conceptual framework of the modernized system of national quality-of-life statistics that Statistics Canada is planning to implement within the next 5 to 10 years. Consistent with 50 years of dialogue on the improvement of social statistics, the conceptual framework proposes the adoption of a micro-level approach to describe how society operates and help create a cohesive and integrated system of quality-of-life statistics.
Release date: 2022-06-01 - Articles and reports: 11-633-X2021006Description:
This paper describes the current thinking at Statistics Canada about future directions in social statistics. It describes how the system of statistics on social statistics (which would be renamed quality of life statistics) will look like in the next 5 to 10 years if Statistics Canada adopts the transformative methodologies and dissemination products that are needed to meet the growing demand for more disaggregated, timely, granular, accessible and more responsive statistics on quality of life.
Release date: 2022-01-31 - Articles and reports: 11-633-X2021007Description:
Statistics Canada continues to use a variety of data sources to provide neighbourhood-level variables across an expanding set of domains, such as sociodemographic characteristics, income, services and amenities, crime, and the environment. Yet, despite these advances, information on the social aspects of neighbourhoods is still unavailable. In this paper, answers to the Canadian Community Health Survey on respondents’ sense of belonging to their local community were pooled over the four survey years from 2016 to 2019. Individual responses were aggregated up to the census tract (CT) level.
Release date: 2021-11-16 - Articles and reports: 11-633-X2021001Description:
Using data from the Canadian Housing Survey, this project aimed to construct a measure of social inclusion, using indicators identified by the Canada Mortgage and Housing Corporation (CMHC), to report a social inclusion score for each geographic stratum separately for dwellings that are and are not in social and affordable housing. This project also sought to examine associations between social inclusion and a set of economic, social and health variables.
Release date: 2021-01-05 - Articles and reports: 75-006-X201800154979Description:
In anticipation of legislation (Bill C-45) legalizing cannabis for non medical use coming into force, Statistics Canada has undertaken a thorough review of its capability to evaluate the bill’s impact. This document focuses on the agency’s social statistics system—specifically, surveys and administrative databases designed to collect information related to health and health care; law enforcement; the justice system and community safety and well-being; education; and labour.
Release date: 2018-10-12 - Articles and reports: 13-605-X201700114840Description:
Statistics Canada is presently preparing the statistical system to be able to gauge the impact of the transition from illegal to legal non-medical cannabis use and to shed light on the social and economic activities related to the use of cannabis thereafter. While the system of social statistics captures some information on the use of cannabis, updates will be required to more accurately measure health effects and the impact on the judicial system. Current statistical infrastructure used to more comprehensively measure the use and impacts of substances such as tobacco and alcohol could be adapted to do the same for cannabis. However, available economic statistics are largely silent on the role illegal drugs play in the economy. Both social and economic statistics will need to be updated to reflect the legalization of cannabis and the challenge is especially great for economic statistics This paper provides a summary of the work that is now under way toward these ends.
Release date: 2017-09-15 - 8. Using national registrations to correct for selective non-response: political preference of ethnic groups ArchivedArticles and reports: 11-522-X20010016268Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
This paper deals with non-response bias, discussing a few approaches in this field. It is demonstrated that non-response bias as to voter turnout is lower in a survey on living conditions than in a purely political survey. In addition, auxiliary information from registrations is used to investigate non-response and its bias among ethnic groups. Response rates among ethnic minority groups are rather low, but there is no evidence that response rates are less in lower social class areas. Correcting for limited socioeconomic deviations does not affect the distributions of political preference.
Release date: 2002-09-12 - Articles and reports: 11F0019M1995081Geography: CanadaDescription:
Users of socio-economic statistics typically want more and better information. Often, these needs can be met simply by more extensive data collections, subject to usual concerns over financial costs and survey respondent burdens. Users, particularly for public policy purposes, have also expressed a continuing, and as yet unfilled, demand for an integrated and coherent system of socio-economic statistics. In this case, additional data will not be sufficient; the more important constraint is the absence of an agreed conceptual approach.
In this paper, we briefly review the state of frameworks for social and economic statistics, including the kinds of socio-economic indicators users may want. These indicators are motivated first in general terms from basic principles and intuitive concepts, leaving aside for the moment the practicalities of their construction. We then show how a coherent structure of such indicators might be assembled.
A key implication is that this structure requires a coordinated network of surveys and data collection processes, and higher data quality standards. This in turn implies a breaking down of the "stovepipe" systems that typify much of the survey work in national statistical agencies (i.e. parallel but generally unrelated data "production lines"). Moreover, the data flowing from the network of surveys must be integrated. Since the data of interest are dynamic, the proposed method goes beyond statistical matching to microsimulation modeling. Finally, these ideas are illustrated with preliminary results from the LifePaths model currently under development in Statistics Canada.
Release date: 1995-07-30 - Articles and reports: 12-001-X197900254833Description:
This paper looks at the current state of development of social statistics in Canada. Some key concepts related to statistics and social information are defined and discussed. The availability and analysis of administrative data is highlighted, along with the need for social surveys. Suggestions are made about the types of data analysis needed for the development of social decision models to meet policy requirements. Finally, an outline of priorities for future work toward the effective use of social statistics is given.
Release date: 1979-12-14
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- Journals and periodicals: 45-20-0003Description: The ‘Eh Sayers’ podcast explores data of interest to Canadians, like social or news-worthy topics. It also aims to foster data literacy and deliver insight into the lives of Canadians by exploring the data the agency produces and tying it to real life situations through storytelling.Release date: 2024-06-06
- Articles and reports: 11-633-X2022002Description:
This paper provides a description of the conceptual framework of the modernized system of national quality-of-life statistics that Statistics Canada is planning to implement within the next 5 to 10 years. Consistent with 50 years of dialogue on the improvement of social statistics, the conceptual framework proposes the adoption of a micro-level approach to describe how society operates and help create a cohesive and integrated system of quality-of-life statistics.
Release date: 2022-06-01 - Articles and reports: 11-633-X2021006Description:
This paper describes the current thinking at Statistics Canada about future directions in social statistics. It describes how the system of statistics on social statistics (which would be renamed quality of life statistics) will look like in the next 5 to 10 years if Statistics Canada adopts the transformative methodologies and dissemination products that are needed to meet the growing demand for more disaggregated, timely, granular, accessible and more responsive statistics on quality of life.
Release date: 2022-01-31 - Articles and reports: 11-633-X2021007Description:
Statistics Canada continues to use a variety of data sources to provide neighbourhood-level variables across an expanding set of domains, such as sociodemographic characteristics, income, services and amenities, crime, and the environment. Yet, despite these advances, information on the social aspects of neighbourhoods is still unavailable. In this paper, answers to the Canadian Community Health Survey on respondents’ sense of belonging to their local community were pooled over the four survey years from 2016 to 2019. Individual responses were aggregated up to the census tract (CT) level.
Release date: 2021-11-16 - Articles and reports: 11-633-X2021001Description:
Using data from the Canadian Housing Survey, this project aimed to construct a measure of social inclusion, using indicators identified by the Canada Mortgage and Housing Corporation (CMHC), to report a social inclusion score for each geographic stratum separately for dwellings that are and are not in social and affordable housing. This project also sought to examine associations between social inclusion and a set of economic, social and health variables.
Release date: 2021-01-05 - Articles and reports: 75-006-X201800154979Description:
In anticipation of legislation (Bill C-45) legalizing cannabis for non medical use coming into force, Statistics Canada has undertaken a thorough review of its capability to evaluate the bill’s impact. This document focuses on the agency’s social statistics system—specifically, surveys and administrative databases designed to collect information related to health and health care; law enforcement; the justice system and community safety and well-being; education; and labour.
Release date: 2018-10-12 - Articles and reports: 13-605-X201700114840Description:
Statistics Canada is presently preparing the statistical system to be able to gauge the impact of the transition from illegal to legal non-medical cannabis use and to shed light on the social and economic activities related to the use of cannabis thereafter. While the system of social statistics captures some information on the use of cannabis, updates will be required to more accurately measure health effects and the impact on the judicial system. Current statistical infrastructure used to more comprehensively measure the use and impacts of substances such as tobacco and alcohol could be adapted to do the same for cannabis. However, available economic statistics are largely silent on the role illegal drugs play in the economy. Both social and economic statistics will need to be updated to reflect the legalization of cannabis and the challenge is especially great for economic statistics This paper provides a summary of the work that is now under way toward these ends.
Release date: 2017-09-15 - 8. Using national registrations to correct for selective non-response: political preference of ethnic groups ArchivedArticles and reports: 11-522-X20010016268Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
This paper deals with non-response bias, discussing a few approaches in this field. It is demonstrated that non-response bias as to voter turnout is lower in a survey on living conditions than in a purely political survey. In addition, auxiliary information from registrations is used to investigate non-response and its bias among ethnic groups. Response rates among ethnic minority groups are rather low, but there is no evidence that response rates are less in lower social class areas. Correcting for limited socioeconomic deviations does not affect the distributions of political preference.
Release date: 2002-09-12 - Articles and reports: 11F0019M1995081Geography: CanadaDescription:
Users of socio-economic statistics typically want more and better information. Often, these needs can be met simply by more extensive data collections, subject to usual concerns over financial costs and survey respondent burdens. Users, particularly for public policy purposes, have also expressed a continuing, and as yet unfilled, demand for an integrated and coherent system of socio-economic statistics. In this case, additional data will not be sufficient; the more important constraint is the absence of an agreed conceptual approach.
In this paper, we briefly review the state of frameworks for social and economic statistics, including the kinds of socio-economic indicators users may want. These indicators are motivated first in general terms from basic principles and intuitive concepts, leaving aside for the moment the practicalities of their construction. We then show how a coherent structure of such indicators might be assembled.
A key implication is that this structure requires a coordinated network of surveys and data collection processes, and higher data quality standards. This in turn implies a breaking down of the "stovepipe" systems that typify much of the survey work in national statistical agencies (i.e. parallel but generally unrelated data "production lines"). Moreover, the data flowing from the network of surveys must be integrated. Since the data of interest are dynamic, the proposed method goes beyond statistical matching to microsimulation modeling. Finally, these ideas are illustrated with preliminary results from the LifePaths model currently under development in Statistics Canada.
Release date: 1995-07-30 - Articles and reports: 12-001-X197900254833Description:
This paper looks at the current state of development of social statistics in Canada. Some key concepts related to statistics and social information are defined and discussed. The availability and analysis of administrative data is highlighted, along with the need for social surveys. Suggestions are made about the types of data analysis needed for the development of social decision models to meet policy requirements. Finally, an outline of priorities for future work toward the effective use of social statistics is given.
Release date: 1979-12-14
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