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- Selected: Statistical methods (27)
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- Selected: Census of Population (27)
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All (27)
All (27) (0 to 10 of 27 results)
- Articles and reports: 75F0002M2024002Description: This discussion paper describes considerations for applying the Market Basket Measure (MBM) methodology onto a purely administrative data source. The paper will begin by outlining a rationale for estimating MBM poverty statistics using administrative income data sources. It then explains a proposal for creating annual samples along with the caveats of creating these samples, followed by a brief analysis using the proposed samples. The paper concludes with potential future improvements to the samples and provides the opportunity for reader’s feedback.Release date: 2024-02-08
- Stats in brief: 98-20-00032021011Description: This video explains the key concepts of different levels of aggregation of income data such as household and family income; income concepts derived from key income variables such as adjusted income and equivalence scale; and statistics used for income data such as median and average income, quartiles, quintiles, deciles and percentiles.Release date: 2023-03-29
- Stats in brief: 98-20-00032021012Description: This video builds on concepts introduced in the other videos on income. It explains key low-income concepts - Market Basket Measure (MBM), Low income measure (LIM) and Low-income cut-offs (LICO) and the indicators associated with these concepts such as the low-income gap and the low-income ratio. These concepts are used in analysis of the economic well-being of the population.Release date: 2023-03-29
- Articles and reports: 98-20-00012021003Description:
This fact sheet provides a concise description of the context to the understanding of confidence intervals. Confidence intervals are a useful data quality indicator. Confidence intervals will usually be available in data tables accessible through the Statistics Canada website.
Release date: 2022-09-21 - Articles and reports: 11-637-X202200100001Description:
As the first goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to end poverty in all its forms everywhere by 2030. This 2022 infographic provides an overview of indicators underlying the first Sustainable Development Goal in support of eradicating poverty, and the statistics and data sources used to monitor and report on this goal in Canada.
Release date: 2022-06-23 - Articles and reports: 11-637-X202000100001Description: As the first goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to end poverty in all its forms everywhere by 2030. This 2020 infographic provides an overview of indicators underlying the first Sustainable Development Goal in support of eradicating poverty, and the statistics and data sources used to monitor and report on this goal in Canada.Release date: 2020-10-20
- Articles and reports: 11-637-X202000100005Description: As the fifth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to achieve gender equality and empower all women and girls by 2030. This 2020 infographic provides an overview of indicators underlying the fifth Sustainable Development Goal in support of Gender Equality, and the statistics and data sources used to monitor and report on this goal in Canada.Release date: 2020-10-20
- Articles and reports: 11-637-X202000100011Description: As the eleventh goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to make cities and human settlements inclusive, safe, resilient and sustainable by 2030. This 2020 infographic provides an overview of indicators underlying the eleventh Sustainable Development Goal in support of sustainable cities and communities, and the statistics and data sources used to monitor and report on this goal in Canada.Release date: 2020-10-20
- Articles and reports: 82-003-X202000300001Description:
This study describes the characteristics of residential postal codes of the Canadian population using the 2016 Census and determines how frequently these postal codes are matched to one or more dissemination areas, a unit of census geography.
Release date: 2020-06-17 - Articles and reports: 82-003-X201901200003Description:
This article provides a description of the Canadian Census Health and Environment Cohorts (CanCHECs), a population-based linked datasets of the household population at the time of census collection. The CanCHEC datasets are rich national data resources that can be used to measure and examine health inequalities across socioeconomic and ethnocultural dimensions for different periods and locations. These datasets can also be used to examine the effects of exposure to environmental factors on human health.
Release date: 2019-12-18
Stats in brief (4)
Stats in brief (4) ((4 results))
- Stats in brief: 98-20-00032021011Description: This video explains the key concepts of different levels of aggregation of income data such as household and family income; income concepts derived from key income variables such as adjusted income and equivalence scale; and statistics used for income data such as median and average income, quartiles, quintiles, deciles and percentiles.Release date: 2023-03-29
- Stats in brief: 98-20-00032021012Description: This video builds on concepts introduced in the other videos on income. It explains key low-income concepts - Market Basket Measure (MBM), Low income measure (LIM) and Low-income cut-offs (LICO) and the indicators associated with these concepts such as the low-income gap and the low-income ratio. These concepts are used in analysis of the economic well-being of the population.Release date: 2023-03-29
- Stats in brief: 11-001-X201935022104Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2019-12-16
- Stats in brief: 11-001-X201924221205Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2019-08-30
Articles and reports (20)
Articles and reports (20) (10 to 20 of 20 results)
- Articles and reports: 75F0002M2010002Description:
This report compares the aggregate income estimates as published by four different statistical programs. The System of National Accounts provides a portrait of economic activity at the macro economic level. The three other programs considered generate data from a micro-economic perspective: two are survey based (Census of Population and Survey of Labour and Income Dynamics) and the third derives all its results from administrative data (Annual Estimates for Census Families and Individuals). A review of the conceptual differences across the sources is followed by a discussion of coverage issues and processing discrepancies that might influence estimates. Aggregate income estimates with adjustments where possible to account for known conceptual differences are compared. Even allowing for statistical variability, some reconciliation issues remain. These are sometimes are explained by the use of different methodologies or data gathering instruments but they sometimes also remain unexplained.
Release date: 2010-04-06 - 12. Testing for the 2011 Census of Canada ArchivedArticles and reports: 11-522-X200800010950Description:
The next census will be conducted in May 2011. Being a major survey, it presents a formidable challenge for Statistics Canada and requires a great deal of time and resources. Careful planning has been done to ensure that all deadlines are met. A number of steps have been planned in the questionnaire testing process. These tests apply to both census content and the proposed communications strategy. This paper presents an overview of the strategy, with a focus on combining qualitative studies with the 2008 quantitative study so that the results can be analyzed and the proposals properly evaluated.
Release date: 2009-12-03 - 13. Defining and Measuring Metropolitan Areas: A Comparison Between Canada and the United States ArchivedArticles and reports: 92F0138M2008002Description:
On November 26 2006, the Organization for Economic Co-operation and Development (OECD) held an international workshop on defining and measuring metropolitan regions. The reasons the OECD organized this workshop are listed below.
1. Metropolitan Regions have become a crucial economic actor in today's highly integrated world. Not only do they play their traditional role of growth poles in their countries but they function as essential nodes of the global economy.2. Policy makers, international organisations and research networks are increasingly called to compare the economic and social performances of Metropolitan Regions across countries. Examples of this work undertaken in international organisation and networks include the UN-Habitat, the EU Urban Audit, ESPON and the OECD Competitive Cities.3. The scope of what we can learn from these international comparisons, however, is limited by the lack of a comparable definition of Metropolitan Regions. Although most countries have their own definitions, these vary significantly from one country to another. Furthermore, in search for higher cross-country comparability, international initiatives have - somehow paradoxically - generated an even larger number of definitions.4. In principle, there is no clear reason to prefer one definition to another. As each definition has been elaborated for a specific analytical purpose, it captures some features of a Metropolitan Region while it tends to overlook others. The issue, rather, is that we do not know the pros and the cons of different definitions nor, most important, the analytical implications of using one definition rather than another. 5. In order to respond to these questions, the OECD hosted an international workshop on 'Defining and Measuring Metropolitan Regions'. The workshop brought together major international organisations (the UN, Eurostat, the World Bank, and the OECD), National Statistical Offices and researchers from this field. The aim of the workshop was to develop some 'guiding principles', which could be agreed upon among the participants and would eventually provide the basis for some form of 'International Guidance' for comparing Metropolitan Regions across countries.
This working paper was presented at this workshop. It provides the conceptual and methodological basis for the definition of metropolitan areas in Canada and provides a detailed comparison of Canada's methodology to that of the USA. The intent was to encourage discussion regarding Canada's approach to defining metropolitan areas in the effort to identify the 'guiding principles'. It is being made available as a working paper to continue this discussion and to provide background to the user community to encourage dialogue and commentary from the user community regarding Canada's metropolitan area methodology.
Release date: 2008-02-20 - Articles and reports: 92F0138M2003001Description:
The goal of this working paper is to assess how well Canada's current method of delineating Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs) reflects the metropolitan nature of these geographic areas according to the facilities and services they provide. The effectiveness of Canada's delineation methodology can be evaluated by applying a functional model to Statistics Canada's CMAs and CAs.
As a consequence of the research undertaken for this working paper, Statistics Canada has proposed lowering the urban core population threshold it uses to define CMAs: a CA will be promoted to a CMA if it has a total population of at least 100,000, of which 50,000 or more live in the urban core. User consultation on this proposal took place in the fall of 2002 as part of the 2006 Census content determination process.
Release date: 2003-03-31 - 15. Geographic Structures As Census Variables: Using Geography to Analyse Social and Economic Processes ArchivedArticles and reports: 92F0138M2001001Description:
Traditionally, Statistics Canada uses standard geographic areas as "containers" for the dissemination of statistical data. However, geographic structures are often used as variables in general applications, for example, to document the rural and urban population in a specific area such as an incorporated municipality (census subdivision). They are not often cross-tabulated with each other to illustrate and analyse specific social and economic processes, for example, the settlement patterns of the population inside and outside of larger urban centres broken down by urban and rural areas.The introduction of the census metropolitan area and census agglomeration influenced zone (MIZ) concept presents additional opportunities to use geographic structures as variables to analyse census data.The objectives of this working paper are to illustrate the advantages of using geographic structures as variables to better analyse social and economic processes and to initiate a discussion in the user community about using these variables and the potential of this largely untapped capability of the Census databases. In order to achieve these objectives, four examples of geography as a variable are presented. The examples include Aboriginal persons living on-reserve and off-reserve in urban and rural areas in Canada, the unemployment rate of persons living in urban and rural areas in Canada, the gross rent of renter households in urban and rural areas in Canada, and the migration flows of persons 15 to 24 years of age between major urban centres and rural and small town areas (MIZ).Our intent is to encourage the use of geographic structures as census variables in order to provide users with the tools that will enable them to more accurately analyse the social and economic processes that take place in the geographic areas of Canada.
Release date: 2001-03-16 - Articles and reports: 92F0138M2000004Description:
Up to and including the 1996 Census, the enumeration area (EA) served as both the primary collection area and the basic dissemination area. Optimising both the collection and dissemination functions was a difficult undertaking and compromises were made. For the 2001 Census, the new digital cartographic file called the National Geographic Base (NGB) and the block program have made it possible to create separate enumeration areas for data collection and dissemination areas for data dissemination. This working paper describes the design criteria that have been specified for the implementation of the dissemination area (DA). These criteria address the improvements most frequently requested by users such as increased temporal stability, reduced area suppression, intuitive boundaries, compactness and homogeneity. In addition to integrating and reflecting the recommendations from the user community, the dissemination area design incorporates operational factors related to the DA code structure, maximum code size and production timeframes.
NOTE: This working paper was first released in March 2000 and described the design criteria and their parameters that were being considered for creating the dissemination area (DA) for the 2001 Census. Since that time, the design criteria have been finalised. New information is highlighted as "Updates" in this version of the paper (June 2001). The remainder of the paper is the same as the version released in March 2000.
Release date: 2000-03-13 - 17. Census Metropolitan Area and Census Agglomeration Influenced Zones (MIZ): A Description of the Methodology ArchivedArticles and reports: 92F0138M2000002Description:
This working paper provides an overview of census metropolitan and census agglomeration influenced zones, or MIZ, their background and the methodology used to define them. The MIZ classification is an approach to better differentiate areas of Canada outside of census metropolitan areas (CMA) and census agglomerations (CA). Census subdivisions that lie outside these areas are classified into one of four zones of influence ranging from "strong" to "no" influence according to the degree of influence that CMA/CAs have on them. The MIZ classification fills a gap in Statistics Canada's geographic framework and promotes data integration since we expect it will be possible to obtain survey data as well as census data based on the same geographic structure. Studies done with a preliminary version of MIZ showed the potential of MIZ to reveal the diversity of non-metropolitan Canada. Based on feedback received on that initial research, this working paper reports on more recent work that has been done to refine the number and data breakpoints for MIZ categories and to examine the additional variables of distances between census subdivisions (CSDs), physical adjacency and a north-south allocation.
This is the second in a series of three related Geography working papers (catalogue no. 92F0138MPE) that describe a new statistical area classification that includes census metropolitan areas/census agglomerations, MIZ and the North concept. The first working paper (no. 2000-1, 92F0138MPE00001) briefly describes MIZ and provides tables of selected socio-economic characteristics from the 1991 Census tabulated by the MIZ categories. The third working paper (no. 2000-3, 92F0138MPE00003) describes the North concept and the methodology used to define a continuous line across Canada that separates the north from the south to further differentiate the MIZ classification.
Release date: 2000-02-03 - 18. Delineation of Canada's North: An Examination of the North-South Relationship in Canada ArchivedArticles and reports: 92F0138M2000003Description:
Statistics Canada's interest in a common delineation of the north for statistical analysis purposes evolved from research to devise a classification to further differentiate the largely rural and remote areas that make up 96% of Canada's land area. That research led to the establishment of the census metropolitan area and census agglomeration influenced zone (MIZ) concept. When applied to census subdivisions, the MIZ categories did not work as well in northern areas as in the south. Therefore, the Geography Division set out to determine a north-south divide that would differentiate the north from the south independent of any standard geographic area boundaries.
This working paper describes the methodology used to define a continuous line across Canada to separate the north from the south, as well as lines marking transition zones on both sides of the north-south line. It also describes the indicators selected to derive the north-south line and makes comparisons to alternative definitions of the north. The resulting classification of the north complements the MIZ classification. Together, census metropolitan areas, census agglomerations, MIZ and the North form a new Statistical Area Classification (SAC) for Canada.
Two related Geography working papers (catalogue no. 92F0138MPE) provide further details about the MIZ classification. Working paper no. 2000-1 (92F0138MPE00001) briefly describes MIZ and includes tables of selected socio-economic characteristics from the 1991 Census tabulated by the MIZ categories, and working paper no. 2000-2 (92F0138MPE00002) describes the methodology used to define the MIZ classification.
Release date: 2000-02-03 - Articles and reports: 92F0138M1996001Description:
The purpose of this document is to report on the reasoning for continuing to use the digital planimeter for calculating land area for the 1996 Census. Despite the fact that the data are subject to a number of errors and logical inconsistencies, the Geography Division does not yet have a digital database in place to support the automated calculation of land area.
This report first provides an historical background on the treatment of land area. It then presents the results of some land area tests based on 1991 data. The tests include the actual use of the digital planimeter, as well as logical consistency checks that compare land area with total area. Finally, a description of the 1996 Digital Cartographic File of enumeration areas (EA/DCF) demonstrates the reason why that file is not employed to calculate land area in an automated fashion.
Release date: 1999-03-05 - 20. Automated Land Area Tests for the 2001 Census: Preliminary Results Using the 1996 Digital Cartographic Files ArchivedArticles and reports: 92F0138M1998001Description:
Prior to the 2001 Census, the Geography Division manually calculated land area using a planimeter. The manual approach was necessary since the division did not have a national digital database to support an automated method. The manual land area calculation was a labour intensive process as well as very time consuming, expensive and very prone to error. With the anticipation of having a national digital base for the 2001 Census (to be called the National Geographic Base or NGB), the automated land area calculation becomes a simple GIS process.
The objectives of this paper are to show the effects of data aggregation and different map projections on automated land area calculation. The testing is a two- staged process; the first stage uses the 1996 Digital Cartographic Files (DCFs) and the second stage will use the NGB. Although the DCFs are not ideal for testing land area, this two-staged approach is necessary since the NGB will not be completed until Autumn 1998. This report presents results on the first stage using the 1996 DCFs.
The results reveal that the effects of data aggregation are minimal; thus land area can be stored at the census block level and then aggregated to higher level geographic entities without any serious ramifications for the 2001 Census. The results also indicate that an equal-area projection, specifically the Albers Equal-Area Conic projection, is more appropriate for calculating land area.
Release date: 1998-10-26
Journals and periodicals (3)
Journals and periodicals (3) ((3 results))
- Journals and periodicals: 92-134-XDescription:
This document summarizes the results of content analyses of the 2004 Census Test. The first section briefly explains the context of the content analyses by describing the nature of the sample, its limitations and the strategies used to evaluate data quality. The second section provides an overview of the results for questions that have not changed since the 2001 Census by describing the similarities between 2001 and 2004 distributions and non-response rates. The third section evaluates data quality of new census questions or questions that have changed substantially: same-sex married couples, ethnic origins, levels of schooling, location where highest diploma was obtained, school attendance, permission to access income tax files, and permission to make personal data publicly available 92 years after the census. The last section summarizes the overall results for questions whose content was coded and evaluated as part of the 2004 test, namely industry, occupation and place of work variables.
Release date: 2006-03-21 - Journals and periodicals: 92-395-XDescription:
This report describes sampling and weighting procedures used in the 2001 Census. It reviews the history of these procedures in Canadian censuses, provides operational and theoretical justifications for them, and presents the results of the evaluation studies of these procedures.
Release date: 2004-12-15 - Journals and periodicals: 85F0036XGeography: CanadaDescription:
This study documents the methodological and technical challenges that are involved in performing analysis on small groups using a sample survey, oversampling, response rate, non-response rate due to language, release feasibility and sampling variability. It is based on the 1999 General Social Survey (GSS) on victimization.
Release date: 2002-05-14
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