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  • Notices and consultations: 92-138-X
    Description:

    With each census, Statistics Canada improves its methods of dissemination to the public by seeking ways of publishing census results in a timely and accessible manner, while maintaining high data quality standards.

    This consultation guide has been developed to assist you in providing feedback on 2006 Census products and services and in contributing ideas and suggestions to the 2011 Census dissemination strategy.

    Release date: 2008-11-05

  • Articles and reports: 91-209-X200400010665
    Geography: Canada
    Description: Part 2 of this paper analyses the characteristics of migrants. It offers a model for identifying the socioeconomic characteristics influencing the probability of migration and the choice of destination. The results of such a model provide a better understanding of the impact of internal migrations on the socioeconomic composition of communities. In this article, the authors analyze the migration flows of Canadians between 2001 and 2006 using the 2006 Census data. First, the major internal migration movements are described at various geographic levels. The results can show certain phenomena that have marked the 2001-2006 intercensal period, such as the overall decline in mobility, the attraction exercised by Alberta, the urban expansion and the outflow of young people from rural areas. Second, various migrant characteristics are examined using a multivariate statistical model including several types of destination. The results help better understand the socio-demographic characteristics associated with mobility status, such as age, marital status, education, family structure or immigrant status.
    Release date: 2008-07-23

  • Table: 97-556-X2006016
    Description:

    Data for Canada, provinces, territories, census metropolitan areas and census agglomerations are shown in this table.

    This table is part of the topic 'Mobility and migration', which presents data on the geographic mobility of Canadians; that is, on place of residence one year and five years prior to the census. These data include changes in place of residence for persons who moved within Canada and place of origin for persons who moved to Canada from another country at a given point in time.

    It is possible to subscribe to all the day-of-release topic bundles. Refer to Catalogue no. 97-569-XCB for more information.

    This table is available free on the Internet, Catalogue no. 97-556-XWE2006016.

    Release date: 2008-07-23

  • Table: 97-556-X2006017
    Description:

    Data for Canada, provinces, territories, census metropolitan areas and census agglomerations are shown in this table.

    This table is part of the topic 'Mobility and migration', which presents data on the geographic mobility of Canadians; that is, on place of residence one year and five years prior to the census. These data include changes in place of residence for persons who moved within Canada and place of origin for persons who moved to Canada from another country at a given point in time.

    It is possible to subscribe to all the day-of-release topic bundles. Refer to Catalogue no. 97-569-XCB for more information.

    This table is available free on the Internet, Catalogue no. 97-556-XWE2006017.

    Release date: 2008-07-23

  • Articles and reports: 92F0138M2008003
    Description:

    The term ecumene comes from the Greek word oikoumene , which means inhabited land or inhabited world. Geographers generally use the term to refer to land where people have made their permanent home, and to all work areas that are considered occupied and used for agricultural or any other economic purpose.

    This working paper first examines the ecumene concept from a geographic viewpoint and highlights some of the geographic literature. It also examines the cartographic issues, such as the limitations of the choropleth map, and then provides an overview of Statistics Canada's use of the ecumene in its thematic mapping program. Finally, the paper provides details on the development of the population ecumene for the 2006 Census.

    Release date: 2008-05-08

  • Articles and reports: 11-522-X200600110447
    Description:

    The classification and identification of locations where persons report to be more or less healthy or have more or less social capital, within a specific area such as a health region, is tremendously helpful for understanding place and health associations. The objective of the proposed study is to classify and map areas within the Zone 6 Health Region (Figure 1) of Nova Scotia (Halifax Regional Municipality and Annapolis Valley regions) according to health status (Dimension 1) and social capital (Dimension 2). We abstracted responses to questions about self-reported health status, mental health, and social capital from the master files of the Canadian Community Health Survey (Cycles 1.1, 1.2 and 2.1), National Population Health Survey (Cycle 5), and the General Social Survey (Cycles 13, 14, 17, and 18). Responses were geocoded using the Statistics Canada Postal Code Conversion File (PCCF+) and imported into a geographical information system (GIS) so that the postal code associated with the response will be assigned to a latitude and longitude within the Nova Scotia Zone 6 health region. Kernel density estimators and additional spatial interpolators were used to develop statistically-smoothed surfaces of the distribution of respondent values for each question. The smoothing process eliminates the possibility of revealing individual respondent location and confidential Statistics Canada sampling frame information. Using responses from similar questions across multiple surveys improves the likelihood of detecting heterogeneity among the responses within the health region area, as well as the accuracy of the smoothed map classification.

    Release date: 2008-03-17

  • Articles and reports: 92F0138M2008002
    Description:

    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: 92F0138M2008001
    Description:

    An urban area has a minimum population concentration of 1,000 persons and a population density of at least 400 persons per square kilometre, based on the current census population count. All territory outside urban areas is classified as rural. Taken together, urban and rural areas cover all of Canada. For the 2001 Census, there were 913 urban areas. In 2006, the number of urban areas decreased to 895.

    Following the release of urban areas for the 2001 Census, in-depth analysis revealed that the land area of many urban areas had increased substantially and the boundaries of these urban areas were considered to be over-bounded. In response, the boundaries of nearly half of the 2001 urban areas were updated to rectify this over-bounding, either manually or automatically. This paper describes the post-censal update process of 2001 urban areas and addresses the impact on the 2001 modified population counts adjusted to 2006 urban area boundaries.

    The paper also briefly describes and compares the delineation criteria for urban areas from the 1996 and 2001 Censuses.

    Release date: 2008-02-07
Data (2)

Data (2) ((2 results))

Analysis (5)

Analysis (5) ((5 results))

  • Articles and reports: 91-209-X200400010665
    Geography: Canada
    Description: Part 2 of this paper analyses the characteristics of migrants. It offers a model for identifying the socioeconomic characteristics influencing the probability of migration and the choice of destination. The results of such a model provide a better understanding of the impact of internal migrations on the socioeconomic composition of communities. In this article, the authors analyze the migration flows of Canadians between 2001 and 2006 using the 2006 Census data. First, the major internal migration movements are described at various geographic levels. The results can show certain phenomena that have marked the 2001-2006 intercensal period, such as the overall decline in mobility, the attraction exercised by Alberta, the urban expansion and the outflow of young people from rural areas. Second, various migrant characteristics are examined using a multivariate statistical model including several types of destination. The results help better understand the socio-demographic characteristics associated with mobility status, such as age, marital status, education, family structure or immigrant status.
    Release date: 2008-07-23

  • Articles and reports: 92F0138M2008003
    Description:

    The term ecumene comes from the Greek word oikoumene , which means inhabited land or inhabited world. Geographers generally use the term to refer to land where people have made their permanent home, and to all work areas that are considered occupied and used for agricultural or any other economic purpose.

    This working paper first examines the ecumene concept from a geographic viewpoint and highlights some of the geographic literature. It also examines the cartographic issues, such as the limitations of the choropleth map, and then provides an overview of Statistics Canada's use of the ecumene in its thematic mapping program. Finally, the paper provides details on the development of the population ecumene for the 2006 Census.

    Release date: 2008-05-08

  • Articles and reports: 11-522-X200600110447
    Description:

    The classification and identification of locations where persons report to be more or less healthy or have more or less social capital, within a specific area such as a health region, is tremendously helpful for understanding place and health associations. The objective of the proposed study is to classify and map areas within the Zone 6 Health Region (Figure 1) of Nova Scotia (Halifax Regional Municipality and Annapolis Valley regions) according to health status (Dimension 1) and social capital (Dimension 2). We abstracted responses to questions about self-reported health status, mental health, and social capital from the master files of the Canadian Community Health Survey (Cycles 1.1, 1.2 and 2.1), National Population Health Survey (Cycle 5), and the General Social Survey (Cycles 13, 14, 17, and 18). Responses were geocoded using the Statistics Canada Postal Code Conversion File (PCCF+) and imported into a geographical information system (GIS) so that the postal code associated with the response will be assigned to a latitude and longitude within the Nova Scotia Zone 6 health region. Kernel density estimators and additional spatial interpolators were used to develop statistically-smoothed surfaces of the distribution of respondent values for each question. The smoothing process eliminates the possibility of revealing individual respondent location and confidential Statistics Canada sampling frame information. Using responses from similar questions across multiple surveys improves the likelihood of detecting heterogeneity among the responses within the health region area, as well as the accuracy of the smoothed map classification.

    Release date: 2008-03-17

  • Articles and reports: 92F0138M2008002
    Description:

    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: 92F0138M2008001
    Description:

    An urban area has a minimum population concentration of 1,000 persons and a population density of at least 400 persons per square kilometre, based on the current census population count. All territory outside urban areas is classified as rural. Taken together, urban and rural areas cover all of Canada. For the 2001 Census, there were 913 urban areas. In 2006, the number of urban areas decreased to 895.

    Following the release of urban areas for the 2001 Census, in-depth analysis revealed that the land area of many urban areas had increased substantially and the boundaries of these urban areas were considered to be over-bounded. In response, the boundaries of nearly half of the 2001 urban areas were updated to rectify this over-bounding, either manually or automatically. This paper describes the post-censal update process of 2001 urban areas and addresses the impact on the 2001 modified population counts adjusted to 2006 urban area boundaries.

    The paper also briefly describes and compares the delineation criteria for urban areas from the 1996 and 2001 Censuses.

    Release date: 2008-02-07
Reference (1)

Reference (1) ((1 result))

  • Notices and consultations: 92-138-X
    Description:

    With each census, Statistics Canada improves its methods of dissemination to the public by seeking ways of publishing census results in a timely and accessible manner, while maintaining high data quality standards.

    This consultation guide has been developed to assist you in providing feedback on 2006 Census products and services and in contributing ideas and suggestions to the 2011 Census dissemination strategy.

    Release date: 2008-11-05
Date modified: