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All (7)
All (7) ((7 results))
- Data Visualization: 71-607-X2020010Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.Release date: 2024-08-21
- Articles and reports: 11F0019M2014357Geography: CanadaDescription:
An emerging area of subjective well-being (SWB) research is centered on the differences in the levels of SWB both across countries and among geographic regions within a country. The consideration of geographic differences would extend our knowledge about the determinants of SWB from "internal" factors of personality traits and individuals' socio-demographic characteristics to "external factors" embedded in individuals' environments. An issue with important theoretical and policy implications is whether the income of others in the same geographic area is associated with individuals' SWB. The association could be positive if people benefit from the improved resources, amenities, and social capital in high-income areas. The association could also be negative if people tend to emulate the lifestyles of their more affluent neighbours. Related empirical studies so far have not come to a consensus on this question.
The present study attempts to contribute to this issue in two significant ways. First, this study examines whether the effect of the average income in a geographic area (locality income) on SWB is sensitive to the scale of geographic units. With a very large sample of survey respondents nested within three hierarchical levels of geographic areas, this study provides reliable estimates of the association of SWB with average incomes in immediate neighbourhoods (defined as "census dissemination areas"), local communities ("census tracts"), and municipalities ("census subdivisions"). Second, this study examines how the choice of control variables influences the estimated effect of locality income. By considering the effects of individual demographic and socioeconomic characteristics, self-evaluated general health, and area-level attributes in a sequential manner, it is possible to discuss the likely mechanisms through which locality income is related to individuals' SWB.
Release date: 2014-02-20 - Articles and reports: 82-003-X201300711853Geography: CanadaDescription:
This study uses an area-based approach to identify acute myocardial infarction hospital patients who live in Dissemination Areas with relatively high percentages of First Nations residents. Within the patient cohort, procedures received during the hospital admission were identified.
Release date: 2013-07-17 - Articles and reports: 82-003-X201200111633Geography: CanadaDescription:
This paper explains the methodology for creating Geozones, which are area-based thresholds of population characteristics derived from census data, which can be used in the analysis of social or economic differences in health and health service utilization.
Release date: 2012-03-21 - 5. A comparison of individual and area-based socio-economic data for monitoring social inequalities in health ArchivedArticles and reports: 82-003-X200900411035Geography: CanadaDescription:
Area-based indicators are commonly used to measure and track health outcomes by socio-economic group. This is largely because of the absence of information about individuals in health health administrative databases. This study compares area-based and individual indicators.
Release date: 2009-12-16 - 6. Geovisualization of health and social capital data derived from Statistics Canada surveys ArchivedArticles and reports: 11-522-X200600110447Description:
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 - 7. Vital Statistics Compendium ArchivedTable: 84-214-XDescription:
This compendium of vital statistics includes summary data on births, deaths, marriages and divorces. The introduction covers the data sources, data quality, and methods pertaining to each event, and includes a glossary defining the terms used. The first chapter is a brief overview of vital statistics for 1996. Subsequent chapters treat marriage, divorce, birth, fetal and infant mortality, total mortality, causes of death, vital statistics by census division, and international comparisons. Most charts and tables show Canada data for 1986 though 1996, while the charts and tables for causes of death show Canada data for 1979 through1996. Data for the provinces and territories are usually shown for 1995 and 1996. Appendices include population denominator data, age-standardized mortality rate (ASMR) calculation methods, and leading causes of death methodology.
Release date: 1999-11-25
Data (2)
Data (2) ((2 results))
- Data Visualization: 71-607-X2020010Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.Release date: 2024-08-21
- 2. Vital Statistics Compendium ArchivedTable: 84-214-XDescription:
This compendium of vital statistics includes summary data on births, deaths, marriages and divorces. The introduction covers the data sources, data quality, and methods pertaining to each event, and includes a glossary defining the terms used. The first chapter is a brief overview of vital statistics for 1996. Subsequent chapters treat marriage, divorce, birth, fetal and infant mortality, total mortality, causes of death, vital statistics by census division, and international comparisons. Most charts and tables show Canada data for 1986 though 1996, while the charts and tables for causes of death show Canada data for 1979 through1996. Data for the provinces and territories are usually shown for 1995 and 1996. Appendices include population denominator data, age-standardized mortality rate (ASMR) calculation methods, and leading causes of death methodology.
Release date: 1999-11-25
Analysis (5)
Analysis (5) ((5 results))
- Articles and reports: 11F0019M2014357Geography: CanadaDescription:
An emerging area of subjective well-being (SWB) research is centered on the differences in the levels of SWB both across countries and among geographic regions within a country. The consideration of geographic differences would extend our knowledge about the determinants of SWB from "internal" factors of personality traits and individuals' socio-demographic characteristics to "external factors" embedded in individuals' environments. An issue with important theoretical and policy implications is whether the income of others in the same geographic area is associated with individuals' SWB. The association could be positive if people benefit from the improved resources, amenities, and social capital in high-income areas. The association could also be negative if people tend to emulate the lifestyles of their more affluent neighbours. Related empirical studies so far have not come to a consensus on this question.
The present study attempts to contribute to this issue in two significant ways. First, this study examines whether the effect of the average income in a geographic area (locality income) on SWB is sensitive to the scale of geographic units. With a very large sample of survey respondents nested within three hierarchical levels of geographic areas, this study provides reliable estimates of the association of SWB with average incomes in immediate neighbourhoods (defined as "census dissemination areas"), local communities ("census tracts"), and municipalities ("census subdivisions"). Second, this study examines how the choice of control variables influences the estimated effect of locality income. By considering the effects of individual demographic and socioeconomic characteristics, self-evaluated general health, and area-level attributes in a sequential manner, it is possible to discuss the likely mechanisms through which locality income is related to individuals' SWB.
Release date: 2014-02-20 - Articles and reports: 82-003-X201300711853Geography: CanadaDescription:
This study uses an area-based approach to identify acute myocardial infarction hospital patients who live in Dissemination Areas with relatively high percentages of First Nations residents. Within the patient cohort, procedures received during the hospital admission were identified.
Release date: 2013-07-17 - Articles and reports: 82-003-X201200111633Geography: CanadaDescription:
This paper explains the methodology for creating Geozones, which are area-based thresholds of population characteristics derived from census data, which can be used in the analysis of social or economic differences in health and health service utilization.
Release date: 2012-03-21 - 4. A comparison of individual and area-based socio-economic data for monitoring social inequalities in health ArchivedArticles and reports: 82-003-X200900411035Geography: CanadaDescription:
Area-based indicators are commonly used to measure and track health outcomes by socio-economic group. This is largely because of the absence of information about individuals in health health administrative databases. This study compares area-based and individual indicators.
Release date: 2009-12-16 - 5. Geovisualization of health and social capital data derived from Statistics Canada surveys ArchivedArticles and reports: 11-522-X200600110447Description:
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
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