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All (9) ((9 results))
- Articles and reports: 45-20-00022023004Description: Gender-based Analysis Plus (GBA Plus) is an analytical tool developed by Women and Gender Equality Canada (WAGE) to support the development of responsive and inclusive initiatives, including policies, programs, and other initiatives. This information sheet presents the usefulness of GBA Plus for disaggregating and analyzing data to identify the groups most affected by certain issues, such as overqualification.Release date: 2023-11-27
- 2. Canadian Statistical Geospatial Explorer Hub ArchivedData 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: 2023-01-24
- Articles and reports: 11-633-X2021001Description:
Using data from the Canadian Housing Survey, this project aimed to construct a measure of social inclusion, using indicators identified by the Canada Mortgage and Housing Corporation (CMHC), to report a social inclusion score for each geographic stratum separately for dwellings that are and are not in social and affordable housing. This project also sought to examine associations between social inclusion and a set of economic, social and health variables.
Release date: 2021-01-05 - 4. Canada goes urban ArchivedStats in brief: 11-630-X2015004Description:
This edition of Canadian Megatrends examines the decrease in the rural population in Canada from 1851 to 2011.
Release date: 2015-04-20 - 5. Factors associated with voting ArchivedArticles and reports: 75-001-X201200111629Geography: CanadaDescription:
This article investigates the factors associated with voting during the May 2011 federal election. Voting rates are examined across personal, family and labour market characteristics. Multivariate techniques are used to account for many of the characteristics associated with voting. The study is based on several supplemental questions, commissioned by Elections Canada, that were added to the May Labour Force Survey. Voting trends and international comparisons, based on administrative data, are also presented.
Release date: 2012-02-24 - 6. A Bayesian allocation of undecided voters ArchivedArticles and reports: 12-001-X200800110606Description:
Data from election polls in the US are typically presented in two-way categorical tables, and there are many polls before the actual election in November. For example, in the Buckeye State Poll in 1998 for governor there are three polls, January, April and October; the first category represents the candidates (e.g., Fisher, Taft and other) and the second category represents the current status of the voters (likely to vote and not likely to vote for governor of Ohio). There is a substantial number of undecided voters for one or both categories in all three polls, and we use a Bayesian method to allocate the undecided voters to the three candidates. This method permits modeling different patterns of missingness under ignorable and nonignorable assumptions, and a multinomial-Dirichlet model is used to estimate the cell probabilities which can help to predict the winner. We propose a time-dependent nonignorable nonresponse model for the three tables. Here, a nonignorable nonresponse model is centered on an ignorable nonresponse model to induce some flexibility and uncertainty about ignorabilty or nonignorability. As competitors we also consider two other models, an ignorable and a nonignorable nonresponse model. These latter two models assume a common stochastic process to borrow strength over time. Markov chain Monte Carlo methods are used to fit the models. We also construct a parameter that can potentially be used to predict the winner among the candidates in the November election.
Release date: 2008-06-26 - 7. 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 - Articles and reports: 11F0019M2000140Geography: CanadaDescription:
The correlation of occupational gender composition and wages is the basis of pay equity/comparable worth legislation. A number of previous studies have examined this correlation in US data, identifying some of the determinants of low wages in "female jobs", as well as important limitations of public policy in this area. There is little evidence, however, from other jurisdictions. This omission is particularly disturbing in the case of Canada, which now has some of the most extensive pay equity legislation in the world. In this paper, we provide a comprehensive picture, circa the late 1980's, of the occupational gender segregation in Canada and its consequences for wages. We also draw explicit comparisons of our findings to evidence for the United States. We find that the link between female wages and gender composition is much stronger in the United States than in Canada, where it is generally small and not statistically significant. The relatively more advantageous position of women in female jobs in Canada is found to be linked to higher unionization rates and the industry-wage effects of "public goods" sectors.
Release date: 2000-09-05 - Articles and reports: 11F0019M2000152Geography: CanadaDescription:
There has been for some time substantial concern regarding the loss of young people in rural communities. There is a sense that most rural communities offer few opportunities for their younger people, requiring them to leave for urban communities, most likely not to return. While there is a considerable body of research on interprovincial migration, relatively little is currently known about migration patterns in rural and urban areas in Canada.
According to our analysis, in virtually all provinces young people 15 to 19 years of age are leaving rural areas in greater proportions than urban areas - in part to pursue post-secondary education. While there are more complex migration patterns affecting the 20-29 age group, the net result of all migration is that the Atlantic provinces - as well as Manitoba and Saskatchewan - are net losers of their rural population aged 15-29. The problem is particularly acute in Newfoundland. In the Atlantic provinces, rural areas which fare worse than the national average - in terms of net gains of youth population - do so not because they have a higher than average percentage of leavers but rather because they are unable to attract a sufficiently high proportion of individuals into their communities.
Of all individuals who move out of their rural community, at most 25% return to this community ten years later. The implication of this result is clear: one cannot count on return migration as a means of preserving the population size of a given cohort. Rather, rural areas must rely on inflows from other (urban) areas to achieve this goal. Some rural communities achieve this; that is, they register positive net in-migration of persons aged 25-29 or older, even though they incur a net loss of younger people.
Individuals who move out of rural areas generally experience higher earnings growth than their counterparts who stay. However, it remains an open question in which direction the causality works: is the higher earnings growth the result of the migration process itself or does it reflect the possibility that people with higher earnings growth potential are more likely to become movers?
Release date: 2000-09-05
Data (1)
Data (1) ((1 result))
- 1. Canadian Statistical Geospatial Explorer Hub ArchivedData 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: 2023-01-24
Analysis (8)
Analysis (8) ((8 results))
- Articles and reports: 45-20-00022023004Description: Gender-based Analysis Plus (GBA Plus) is an analytical tool developed by Women and Gender Equality Canada (WAGE) to support the development of responsive and inclusive initiatives, including policies, programs, and other initiatives. This information sheet presents the usefulness of GBA Plus for disaggregating and analyzing data to identify the groups most affected by certain issues, such as overqualification.Release date: 2023-11-27
- Articles and reports: 11-633-X2021001Description:
Using data from the Canadian Housing Survey, this project aimed to construct a measure of social inclusion, using indicators identified by the Canada Mortgage and Housing Corporation (CMHC), to report a social inclusion score for each geographic stratum separately for dwellings that are and are not in social and affordable housing. This project also sought to examine associations between social inclusion and a set of economic, social and health variables.
Release date: 2021-01-05 - 3. Canada goes urban ArchivedStats in brief: 11-630-X2015004Description:
This edition of Canadian Megatrends examines the decrease in the rural population in Canada from 1851 to 2011.
Release date: 2015-04-20 - 4. Factors associated with voting ArchivedArticles and reports: 75-001-X201200111629Geography: CanadaDescription:
This article investigates the factors associated with voting during the May 2011 federal election. Voting rates are examined across personal, family and labour market characteristics. Multivariate techniques are used to account for many of the characteristics associated with voting. The study is based on several supplemental questions, commissioned by Elections Canada, that were added to the May Labour Force Survey. Voting trends and international comparisons, based on administrative data, are also presented.
Release date: 2012-02-24 - 5. A Bayesian allocation of undecided voters ArchivedArticles and reports: 12-001-X200800110606Description:
Data from election polls in the US are typically presented in two-way categorical tables, and there are many polls before the actual election in November. For example, in the Buckeye State Poll in 1998 for governor there are three polls, January, April and October; the first category represents the candidates (e.g., Fisher, Taft and other) and the second category represents the current status of the voters (likely to vote and not likely to vote for governor of Ohio). There is a substantial number of undecided voters for one or both categories in all three polls, and we use a Bayesian method to allocate the undecided voters to the three candidates. This method permits modeling different patterns of missingness under ignorable and nonignorable assumptions, and a multinomial-Dirichlet model is used to estimate the cell probabilities which can help to predict the winner. We propose a time-dependent nonignorable nonresponse model for the three tables. Here, a nonignorable nonresponse model is centered on an ignorable nonresponse model to induce some flexibility and uncertainty about ignorabilty or nonignorability. As competitors we also consider two other models, an ignorable and a nonignorable nonresponse model. These latter two models assume a common stochastic process to borrow strength over time. Markov chain Monte Carlo methods are used to fit the models. We also construct a parameter that can potentially be used to predict the winner among the candidates in the November election.
Release date: 2008-06-26 - 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 - Articles and reports: 11F0019M2000140Geography: CanadaDescription:
The correlation of occupational gender composition and wages is the basis of pay equity/comparable worth legislation. A number of previous studies have examined this correlation in US data, identifying some of the determinants of low wages in "female jobs", as well as important limitations of public policy in this area. There is little evidence, however, from other jurisdictions. This omission is particularly disturbing in the case of Canada, which now has some of the most extensive pay equity legislation in the world. In this paper, we provide a comprehensive picture, circa the late 1980's, of the occupational gender segregation in Canada and its consequences for wages. We also draw explicit comparisons of our findings to evidence for the United States. We find that the link between female wages and gender composition is much stronger in the United States than in Canada, where it is generally small and not statistically significant. The relatively more advantageous position of women in female jobs in Canada is found to be linked to higher unionization rates and the industry-wage effects of "public goods" sectors.
Release date: 2000-09-05 - Articles and reports: 11F0019M2000152Geography: CanadaDescription:
There has been for some time substantial concern regarding the loss of young people in rural communities. There is a sense that most rural communities offer few opportunities for their younger people, requiring them to leave for urban communities, most likely not to return. While there is a considerable body of research on interprovincial migration, relatively little is currently known about migration patterns in rural and urban areas in Canada.
According to our analysis, in virtually all provinces young people 15 to 19 years of age are leaving rural areas in greater proportions than urban areas - in part to pursue post-secondary education. While there are more complex migration patterns affecting the 20-29 age group, the net result of all migration is that the Atlantic provinces - as well as Manitoba and Saskatchewan - are net losers of their rural population aged 15-29. The problem is particularly acute in Newfoundland. In the Atlantic provinces, rural areas which fare worse than the national average - in terms of net gains of youth population - do so not because they have a higher than average percentage of leavers but rather because they are unable to attract a sufficiently high proportion of individuals into their communities.
Of all individuals who move out of their rural community, at most 25% return to this community ten years later. The implication of this result is clear: one cannot count on return migration as a means of preserving the population size of a given cohort. Rather, rural areas must rely on inflows from other (urban) areas to achieve this goal. Some rural communities achieve this; that is, they register positive net in-migration of persons aged 25-29 or older, even though they incur a net loss of younger people.
Individuals who move out of rural areas generally experience higher earnings growth than their counterparts who stay. However, it remains an open question in which direction the causality works: is the higher earnings growth the result of the migration process itself or does it reflect the possibility that people with higher earnings growth potential are more likely to become movers?
Release date: 2000-09-05
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