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- Table: 97-550-X2006002Description:
These tables provide population and dwelling counts established by the 2006 Census of Canada. The levels of geography covered are Canada, provinces and territories, and other geographic areas including census subdivisions (municipalities), census metropolitan areas and census agglomerations.
For selected geographies, the tables provide percentage change in the population counts between 2001 and 2006. Data are also provided for land area and population density. Various tables provide sort capabilities that allow the data in a column to be sorted in descending or ascending order. Geographic boundaries are those in effect on January 1, 2006.
An interactive reference mapping tool called GeoSearch2006 is available on the Statistics Canada website for identifying places and geographic units presented in these tables.
Release date: 2007-07-12 - Articles and reports: 12-001-X20070019849Description:
In sample surveys where units have unequal probabilities of inclusion in the sample, associations between the probability of inclusion and the statistic of interest can induce bias. Weights equal to the inverse of the probability of inclusion are often used to counteract this bias. Highly disproportional sample designs have large weights, which can introduce undesirable variability in statistics such as the population mean estimator or population regression estimator. Weight trimming reduces large weights to a fixed cutpoint value and adjusts weights below this value to maintain the untrimmed weight sum, reducing variability at the cost of introducing some bias. Most standard approaches are ad-hoc in that they do not use the data to optimize bias-variance tradeoffs. Approaches described in the literature that are data-driven are a little more efficient than fully-weighted estimators. This paper develops Bayesian methods for weight trimming of linear and generalized linear regression estimators in unequal probability-of-inclusion designs. An application to estimate injury risk of children rear-seated in compact extended-cab pickup trucks using the Partners for Child Passenger Safety surveillance survey is considered.
Release date: 2007-06-28 - Articles and reports: 91F0015M2007008Geography: CanadaDescription:
If low fertility, aging, demographic growth and ethnocultural diversity are phenomena that accurately describe Canada overall, the same patterns may not necessarily hold true for urban and rural areas. The rhythm and sources of demographic growth have often been significantly different from one area to the next, which would suggest that the situation across Canada stems from the aggregation of different demographies, which are variable between types of regions.
The objective of this study is to examine demographic differences between urban and rural areas in Canada by analyzing communities along a gradient ranging from the largest metropolitan regions to the most rural areas. Applying a geographic structure to Census data from 1971 to 2001 that maintains constant borders over time, the authors analyze population growth across eight types of urban and rural regions; as well as the contribution of immigration, fertility and internal migration to growth differentials; and the consequences of these observed demographic differences in terms of aging and ethnocultural diversity.
The study finds that growth is concentrated in the most metropolitan areas in the country and in the rural areas on which they have a strong influence, and diminished as the degree of rurality increases. Internal migration between the different types of areas has largely contributed to this differential growth: the most urbanized areas-with the exception of Montréal, Toronto and Vancouver-underwent significant migratory gains as well as strong growth. This was also the case with the rural regions that had a strong metropolitan influence. The most rural regions experienced a weak demographic growth, in some cases a decline, despite having higher fertility than other regions. The strong growth in the three largest urban areas in Canada-Montréal, Toronto and Vancouver-is largely attributed to the high numbers of international immigrants who decided to settle there. The concentration of newcomers in these regions helped increase the gap between these three areas and the rest of the country in terms of ethnocultural diversity.
Release date: 2007-04-26
Data (1)
Data (1) ((1 result))
- Table: 97-550-X2006002Description:
These tables provide population and dwelling counts established by the 2006 Census of Canada. The levels of geography covered are Canada, provinces and territories, and other geographic areas including census subdivisions (municipalities), census metropolitan areas and census agglomerations.
For selected geographies, the tables provide percentage change in the population counts between 2001 and 2006. Data are also provided for land area and population density. Various tables provide sort capabilities that allow the data in a column to be sorted in descending or ascending order. Geographic boundaries are those in effect on January 1, 2006.
An interactive reference mapping tool called GeoSearch2006 is available on the Statistics Canada website for identifying places and geographic units presented in these tables.
Release date: 2007-07-12
Analysis (2)
Analysis (2) ((2 results))
- Articles and reports: 12-001-X20070019849Description:
In sample surveys where units have unequal probabilities of inclusion in the sample, associations between the probability of inclusion and the statistic of interest can induce bias. Weights equal to the inverse of the probability of inclusion are often used to counteract this bias. Highly disproportional sample designs have large weights, which can introduce undesirable variability in statistics such as the population mean estimator or population regression estimator. Weight trimming reduces large weights to a fixed cutpoint value and adjusts weights below this value to maintain the untrimmed weight sum, reducing variability at the cost of introducing some bias. Most standard approaches are ad-hoc in that they do not use the data to optimize bias-variance tradeoffs. Approaches described in the literature that are data-driven are a little more efficient than fully-weighted estimators. This paper develops Bayesian methods for weight trimming of linear and generalized linear regression estimators in unequal probability-of-inclusion designs. An application to estimate injury risk of children rear-seated in compact extended-cab pickup trucks using the Partners for Child Passenger Safety surveillance survey is considered.
Release date: 2007-06-28 - Articles and reports: 91F0015M2007008Geography: CanadaDescription:
If low fertility, aging, demographic growth and ethnocultural diversity are phenomena that accurately describe Canada overall, the same patterns may not necessarily hold true for urban and rural areas. The rhythm and sources of demographic growth have often been significantly different from one area to the next, which would suggest that the situation across Canada stems from the aggregation of different demographies, which are variable between types of regions.
The objective of this study is to examine demographic differences between urban and rural areas in Canada by analyzing communities along a gradient ranging from the largest metropolitan regions to the most rural areas. Applying a geographic structure to Census data from 1971 to 2001 that maintains constant borders over time, the authors analyze population growth across eight types of urban and rural regions; as well as the contribution of immigration, fertility and internal migration to growth differentials; and the consequences of these observed demographic differences in terms of aging and ethnocultural diversity.
The study finds that growth is concentrated in the most metropolitan areas in the country and in the rural areas on which they have a strong influence, and diminished as the degree of rurality increases. Internal migration between the different types of areas has largely contributed to this differential growth: the most urbanized areas-with the exception of Montréal, Toronto and Vancouver-underwent significant migratory gains as well as strong growth. This was also the case with the rural regions that had a strong metropolitan influence. The most rural regions experienced a weak demographic growth, in some cases a decline, despite having higher fertility than other regions. The strong growth in the three largest urban areas in Canada-Montréal, Toronto and Vancouver-is largely attributed to the high numbers of international immigrants who decided to settle there. The concentration of newcomers in these regions helped increase the gap between these three areas and the rest of the country in terms of ethnocultural diversity.
Release date: 2007-04-26
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