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- Selected: Statistical methods (25)
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- Selected: Census of Population (25)
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All (25)
All (25) (20 to 30 of 25 results)
- 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 - 22. 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 - 23. 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 - 25. 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
Stats in brief (2)
Stats in brief (2) ((2 results))
- 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) (0 to 10 of 20 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
- 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 - 9. Accessing the Canada Learning Bond: Meeting Identification and Income Eligibility Requirements ArchivedArticles and reports: 75F0002M2019007Description:
Not having a Social Insurance Number (SIN) and not filing taxes may represent challenges to access government programs and supports such as the Canada Education Savings Grant (CESG) and the Canada Learning Bond (CLB). Limited data availability has prevented a full assessment of the extent of these access challenges. This study attempts to address this knowledge gap by analyzing overall differences in SIN possession and tax-filing uptake by family income, levels of parental education, family type and Indigenous identity of the child and age of children using the 2016 Census data augmented with tax-filing and Social Insurance Number possession indicator flags.
Release date: 2019-06-21 - 10. Multiple imputation with census data ArchivedArticles and reports: 12-001-X201200211759Description:
A benefit of multiple imputation is that it allows users to make valid inferences using standard methods with simple combining rules. Existing combining rules for multivariate hypothesis tests fail when the sampling error is zero. This paper proposes modified tests for use with finite population analyses of multiply imputed census data for the applications of disclosure limitation and missing data and evaluates their frequentist properties through simulation.
Release date: 2012-12-19
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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