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- 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 - Surveys and statistical programs – Documentation: 32-26-0002Description:
This reference guide may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the Census of Agriculture.
It provides an overview of the Census of Agriculture communications, content determination, collection, processing, data quality evaluation and dissemination activities. It also summarizes the key changes to the census and other useful information.
Release date: 2022-04-14 - 13. Created EqualStats in brief: 45-20-00032022002Description:
Canada’s diversity and rich cultural heritage have been shaped by the people who have come from all over the world to call it home. But even in our multicultural society, eliminating all forms of discrimination remains a challenge. In this episode, we turn a critical eye to the ways that cognitive bias risks perpetuating systemic racism. Statistics are supposed to accurately reflect the world around us, but are all data created equal? Join our guests, Sarah Messou-Ghelazzi, Communications Officer, Filsan Hujaleh, Analyst with the Centre for Social Data Insights and Innovation, and Jeff Latimer, Director General - Accountable for Health, Justice, Diversity and Populations at Statistics Canada as we explore the role data can play to make Canada a more equal society for all.
Release date: 2022-03-16 - 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 - 19-22-0009Description:
Join us as Statistics Canada’s Quality Secretariat will give a presentation on the importance of data quality. We are living in an exciting time for data: sources are more abundant, they are being generated in innovative ways, and they are available quicker than ever. However, a data source is not only worthless if it does not meet basic quality standards – it can be misleading, and worse than having no data at all! Statistics Canada’s Quality Secretariat has a mandate to promote good quality practices within the agency, across the Government of Canada, and internationally. For quality to truly be present, it must be incorporated into each process (from design to analysis) and into the product itself – whether that product is a microdata file or estimates derived from it. We will address why data quality is important and how one can evaluate it in practice. We will cover some basic concepts in data quality (quality assurance vs. control, metadata, etc.), and present data quality as a multidimensional concept. Finally, we will show data quality in action by evaluating a data source together. All data quality literacy levels are welcome. After all, everybody plays a part in quality!
Release date: 2022-01-26 - 19-22-0008Description:
Data visualizations are a powerful tool to explore and present ideas. In response to feedback from information session participants, this session uses a case study approach to illustrate how to explore your data and decide which visualizations help tell your audience a data story. Designed for a beginner to intermediate audience, the session focuses on one of the hardest parts of designing graphs and charts: knowing where to start.
Release date: 2021-12-10 - 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 - 18. Construction of a Northern Market Basket Measure of poverty for Yukon and the Northwest TerritoriesArticles and reports: 75F0002M2021007Description:
This discussion paper describes the proposed methodology for a Northern Market Basket Measure (MBM-N) for Yukon and the Northwest Territories, as well as identifies research which could be conducted in preparation for the 2023 review. The paper presents initial MBM-N thresholds and provides preliminary poverty estimates for reference years 2018 and 2019. A review period will follow the release of this paper, during which time Statistics Canada and Employment and Social Development Canada will welcome feedback from interested parties and work with experts, stakeholders, indigenous organizations, federal, provincial and territorial officials to validate the results.
Release date: 2021-11-12 - Articles and reports: 11-522-X202100100010Description:
As part of processing for the 2021 Canadian Census, the write-in responses to 31 census questions must be coded. Up until, and including, 2016, this was a three stage process, including an “interactive (human) coding” step as the second stage. This human coding step is both lengthy and expensive, spanning many months and requiring the hiring and training of a large number of temporary employees. With this in mind, for 2021, this stage was either augmented with or replaced entirely by machine learning models using the "fastText" algorithm. This presentation will discuss the implementation of this algorithm and the challenges and decisions taken along the way.
Key Words: Natural Language Processing, Machine Learning, fastText, Coding
Release date: 2021-11-05 - 20. Statistics Netherlands and AI ArchivedArticles and reports: 11-522-X202100100011Description: The ways in which AI may affect the world of official statistics are manifold and Statistics Netherlands (CBS) is actively exploring how it can use AI within its societal role. The paper describes a number of AI-related areas where CBS is currently active: use of AI for its own statistics production and statistical R&D, the development of a national AI monitor, the support of other government bodies with expertise on fair data and fair algorithms, data sharing under safe and secure conditions, and engaging in AI-related collaborations.
Key Words: Artificial Intelligence; Official Statistics; Data Sharing; Fair Algorithms; AI monitoring; Collaboration.
Release date: 2021-11-05
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- 1. National Population Health Survey Overview ArchivedTable: 82-567-XDescription:
The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.
This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.
Release date: 1998-07-29
Analysis (102)
Analysis (102) (40 to 50 of 102 results)
- Articles and reports: 62F0014M2019005Description:
This document describes the updated methodology for Investment Banking Services Price Index (IBSPI).
Release date: 2019-07-08 - Articles and reports: 75F0002M2019005Description:
This note describes methodological changes made to the Market Basket Measure (MBM) in Calendar year 2019. These revisions mainly affect MBM estimates for 2008 and 2009, but they also affect the overall interpretation of the trends in the MBM over the 2000s.
Release date: 2019-02-26 - Articles and reports: 89-653-X2018001Description:
This Concepts and Methods Guide is intended to provide a detailed review of the 2017 APS with respect to its subject matter and methodological approaches. It is designed to assist APS data users by serving as a guide to the concepts and measures of the survey as well as the technical details of the survey's design, field work and data processing. This guide is meant to provide users with helpful information on how to use and interpret survey results. The discussion on data quality also allows users to review the strengths and limitations of the data for their particular needs.
Chapter 1 of this guide provides an overview of the 2017 APS by introducing the survey's background and objectives. Chapter 2 outlines the survey's themes and explains the key concepts and definitions used for the survey. Chapters 3 to 6 cover important aspects of the APS survey methodology, sampling design, data collection and processing. Chapters 7 and 8 review issues of data quality and caution users about comparing 2017 APS data with data from other sources. Chapter 9 outlines the survey products available to the public, including data tables, analytical articles and reference material. The Appendices provide a comprehensive list of survey indicators, extra coding categories and standard classifications used on the APS. Lastly, a glossary of survey terms is also provided.
Release date: 2018-11-26 - Articles and reports: 13-605-X201800154922Description:
Over the last number of months, Statistics Canada has been updating the national statistical system to measure the production, consumption and distribution of non-medical cannabis. To date, this work has involved updating classification standards (such as the North American Product Classification), developing models that take existing information (mainly from health and social surveys) and transform it into estimates of consumption and expenditure, as well as undertaking new surveys on cannabis consumption.
Release date: 2018-02-22 - 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 - 46. StatCan Blog: StatCan and the Alberta wildfire ArchivedStats in brief: 11-001-X201707516321Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2017-03-16
- Journals and periodicals: 11-634-XDescription:
This publication is a catalogue of strategies and mechanisms that a statistical organization should consider adopting, according to its particular context. This compendium is based on lessons learned and best practices of leadership and management of statistical agencies within the scope of Statistics Canada’s International Statistical Fellowship Program (ISFP). It contains four broad sections including, characteristics of an effective national statistical system; core management practices; improving, modernizing and finding efficiencies; and, strategies to better inform and engage key stakeholders.
Release date: 2016-07-06 - 48. Business statistics: A new approach ArchivedStats in brief: 11-001-X201516812543Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2015-06-17
- Articles and reports: 82-003-X201500314143Description:
This study evaluates the representativeness of the pooled 2007/2009-2009/2011 Canadian Health Measures Survey immigrant sample by comparing it with socio-demographic distributions from the 2006 Census and the 2011 National Household Survey, and with selected self-reported health and health behaviour indicators from the 2009/2010 Canadian Community Health Survey.
Release date: 2015-03-18 - 50. Researcher’s Blog ArchivedStats in brief: 11-001-X201503410941Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2015-02-03
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Reference (54)
Reference (54) (0 to 10 of 54 results)
- Surveys and statistical programs – Documentation: 75-514-GDescription: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.Release date: 2023-05-25
- Surveys and statistical programs – Documentation: 32-26-0002Description:
This reference guide may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the Census of Agriculture.
It provides an overview of the Census of Agriculture communications, content determination, collection, processing, data quality evaluation and dissemination activities. It also summarizes the key changes to the census and other useful information.
Release date: 2022-04-14 - Surveys and statistical programs – Documentation: 11-633-X2021005Description:
The Analytical Studies and Modelling Branch (ASMB) is the research arm of Statistics Canada mandated to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a broad range of data sources and modelling techniques to address the information needs of a broad range of government, academic and public sector partners and stakeholders through analysis and research, modeling and predictive analytics, and data development. The branch strives to deliver relevant, high-quality, timely, comprehensive, horizontal and integrated research and to enable the use of its research through capacity building and strategic dissemination to meet the user needs of policy makers, academics and the general public.
This Multi-year Consolidated Plan for Research, Modelling and Data Development outlines the priorities for the branch over the next two years.
Release date: 2021-08-12 - Surveys and statistical programs – Documentation: 89-26-0003Description:
Statistics Canada Data Strategy (SCDS) provides a course of action for managing and leveraging the agency’s data assets to ensure their optimal use and value while maintaining public trust. As Statistics Canada is the nation’s trusted provider of high-quality data and information to support evidence-based policy and decision making, the SCDS also naturally includes the agency’s plan for providing support and data expertise to other government organizations (federal, provincial and territorial), non-governmental organizations, the private sector, academia, and other national and international communities).
The SCDS provides a roadmap for how Statistics Canada will continue to govern and manage its valuable data assets as part of its modernization agenda and in alignment with and response to other federal government strategies and initiatives. These federal strategies include the Data Strategy for the Federal Public Service, Canada’s 2018-2020 National Action Plan on Open Government, and the Treasury Board Secretariat Digital Operations Strategic Plan: 2018-2022.
Release date: 2020-04-30 - Surveys and statistical programs – Documentation: 99-011-XDescription:
This topic presents data on the Aboriginal peoples of Canada and their demographic characteristics. Depending on the application, estimates using any of the following concepts may be appropriate for the Aboriginal population: (1) Aboriginal identity, (2) Aboriginal ancestry, (3) Registered or Treaty Indian status and (4) Membership in a First Nation or Indian band. Data from the 2011 National Household Survey are available for the geographical locations where these populations reside, including 'on reserve' census subdivisions and Inuit communities of Inuit Nunangat as well as other geographic areas such as the national (Canada), provincial and territorial levels.
Analytical products
The analytical document provides analysis on the key findings and trends in the data, and is complimented with the short articles found in NHS in Brief and the NHS Focus on Geography Series.
Data products
The NHS Profile is one data product that provides a statistical overview of user selected geographic areas based on several detailed variables and/or groups of variables. Other data products include data tables which represent a series of cross tabulations ranging in complexity and are available for various levels of geography.
Release date: 2019-10-29 - Surveys and statistical programs – Documentation: 11-621-M2018105Description:
Statistics Canada needs to respond to the legalization of cannabis for non-medical use by measuring various aspects of the introduction of cannabis in the Canadian economy and society. An important part of measuring the economy and society is using statistical classifications. It is common practice with classifications that they are updated and revised as new industries, products, occupations and educational programs are introduced into the Canadian economy and society. This paper describes the changes to the various statistical classifications used by Statistics Canada in order to measure the introduction of legal non-medical cannabis.
Release date: 2019-07-24 - 7. Analytical Studies Branch Annual Consolidated Plan for Research, Data Development and Modelling, 2019/2020 ArchivedSurveys and statistical programs – Documentation: 11-633-X2019001Description:
The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.
Release date: 2019-05-29 - 8. Transition of Labour Force Survey Data Processing to the Social Survey Processing Environment (SSPE) ArchivedSurveys and statistical programs – Documentation: 75-005-M2019001Description:
The production of statistics from the Labour Force Survey (LFS) involves many activities, one of which is data processing. This step involves the verification and correction of survey data when required in order to produce microdata files. Beginning in January 2019, LFS processing will be transitioned to a new system, the Social Survey Processing Environment. This document describes the development and testing that preceded the implementation of the new system, and demonstrates that the transition is expected to have minimal impact on LFS estimates and be transparent to users of LFS data.
Release date: 2019-02-08 - Surveys and statistical programs – Documentation: 71-526-XDescription:
The Canadian Labour Force Survey (LFS) is the official source of monthly estimates of total employment and unemployment. Following the 2011 census, the LFS underwent a sample redesign to account for the evolution of the population and labour market characteristics, to adjust to changes in the information needs and to update the geographical information used to carry out the survey. The redesign program following the 2011 census culminated with the introduction of a new sample at the beginning of 2015. This report is a reference on the methodological aspects of the LFS, covering stratification, sampling, collection, processing, weighting, estimation, variance estimation and data quality.
Release date: 2017-12-21 - Surveys and statistical programs – Documentation: 11-633-X2017007Description:
The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 30 years. The IMDB combines administrative files on immigrant admissions and non-permanent resident permits from Immigration, Refugees and Citizenship Canada (IRCC) with tax files from the Canadian Revenue Agency (CRA). Information is available for immigrant taxfilers admitted since 1980. Tax records for 1982 and subsequent years are available for immigrant taxfilers.
This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.
Release date: 2017-06-16
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