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This Cartographic Boundary File for Canada contains the boundaries of all 82 census agricultural regions delineated for the 2001 Census of Agriculture together with the shoreline around Canada and the larger inland lakes, all integrated in a single layer. The boundary file coordinates are latitude/longitude and are based on the North American Datum of 1983 (NAD83). The file is available in both ARC/INFO Interchange and MapInfo Interchange formats and a reference guide is also provided.

Cartographic Boundary Files can be used with Census of Population, Census of Agriculture or other Statistics Canada data for data analysis and thematic mapping (with appropriate software). Geographic codes provide the linkage between the statistical data and the geographic area boundaries. Cartographic Boundary Files can also be used to create new geographic areas by aggregating standard geographic areas, and for other data manipulations available with the user's software. The Cartographic Boundary Files are positionally consistent with the Road Network Files and Skeletal Road Network Files, which can provide additional geographic context for mapping applications.

This study examines the geographic distribution of livestock and poultry in May 2001, at the time of the 2001 Census of Agriculture. It compares it with the situation on Census Day 1991 to determine how concentrations have changed during the 1990s.

National statistical offices are often called upon to produce statistics for small geographic areas, in addition to their primary responsibility for measuring the condition of the country as a whole and its major subdivisions. This task presents challenges that are different from those faced in statistical programs aiming primarily at national or provincial statistics. This paper examines these challenges and identifies strategies and approaches for the development of programs of small area statistics. The important foundation of a census of population, as well as the primary role of a consistent geographic infrastructure, are emphasized. Potential sources and methods for the production of small area data in the social, economic and environmental fields are examined. Some organizational and dissemination issues are also discussed.

The analysis of survey data from different geographical areas where the data from each area are polychotomous can be easily performed using hierarchical Bayesian models, even if there are small cell counts in some of these areas. However, there are difficulties when the survey data have missing information in the form of non-response, especially when the characteristics of the respondents differ from the non-respondents. We use the selection approach for estimation when there are non-respondents because it permits inference for all the parameters. Specifically, we describe a hierarchical Bayesian model to analyse multinomial non-ignorable non-response data from different geographical areas; some of them can be small. For the model, we use a Dirichlet prior density for the multinomial probabilities and a beta prior density for the response probabilities. This permits a 'borrowing of strength' of the data from larger areas to improve the reliability in the estimates of the model parameters corresponding to the smaller areas. Because the joint posterior density of all the parameters is complex, inference is sampling-based and Markov chain Monte Carlo methods are used. We apply our method to provide an analysis of body mass index (BMI) data from the third National Health and Nutrition Examination Survey (NHANES III). For simplicity, the BMI is categorized into 3 natural levels, and this is done for each of 8 age-race-sex domains and 34 counties. We assess the performance of our model using the NHANES III data and simulated examples, which show our model works reasonably well.

This table shows 2001 Census data for the following levels of geography: Census metropolitan areas, tracted census agglomerations and census tracts.

This table is part of the topic "Marital Status of Canadians," which presents 2001 Census data on marital status and common-law status, by age and sex. These data show the number of persons who are single, legally married, separated, divorced or widowed. Data are also provided on the marital status of persons who reported living common-law. The data are reported for individuals, for the entire Canadian population.

It is possible to subscribe to all the day-of-release bundles. For more information, refer to Catalogue No. 97F0023XCB.

This table shows 2001 Census data for the following levels of geography: Canada, provinces, territories and federal electoral districts (by 1996 Representation Order).

This table is part of the topic "Marital Status of Canadians," which presents 2001 Census data on marital status and common-law status, by age and sex. These data show the number of persons who are single, legally married, separated, divorced or widowed. Data are also provided on the marital status of persons who reported living common-law. The data are reported for individuals, for the entire Canadian population.

It is possible to subscribe to all the day-of-release bundles. For more information, refer to Catalogue No. 97F0023XCB.

This table shows 2001 Census data for the following levels of geography: Canada, provinces, territories, census metropolitan areas and census agglomerations .

This table is part of the topic "Marital Status of Canadians," which presents 2001 Census data on marital status and common-law status, by age and sex. These data show the number of persons who are single, legally married, separated, divorced or widowed. Data are also provided on the marital status of persons who reported living common-law. The data are reported for individuals, for the entire Canadian population.

It is possible to subscribe to all the day-of-release bundles. For more information, refer to Catalogue No. 97F0023XCB.

This table is FREE on the Internet, Catalogue No. 95F0405XIE2001004.

This table shows 2001 Census data for the following levels of geography: Canada, provinces, territories, census divisions and census subdivisions.

This table is part of the topic "Marital Status of Canadians," which presents 2001 Census data on marital status and common-law status, by age and sex. These data show the number of persons who are single, legally married, separated, divorced or widowed. Data are also provided on the marital status of persons who reported living common-law. The data are reported for individuals, for the entire Canadian population.

It is possible to subscribe to all day-of-release bundles. For more information, refer to Catalogue No. 97F0023XCB.

This table shows 2001 Census data for the following levels of geography: Census metropolitan areas, tracted census agglomerations and census tracts.

This table is part of the topic "Marital Status of Canadians," which presents 2001 Census data on marital status and common-law status, by age and sex. These data show the number of persons who are single, legally married, separated, divorced or widowed. Data are also provided on the marital status of persons who reported living common-law. The data are reported for individuals, for the entire Canadian population.

It is possible to subscribe to all the day-of-release bundles. For more information, refer to Catalogue No. 97F0023XCB.

This table shows 2001 Census data for the following levels of geography: Canada, provinces, territories and federal electoral districts (by 1996 Representation Order).

This table is part of the topic "Marital Status of Canadians," which presents 2001 Census data on marital status and common-law status, by age and sex. These data show the number of persons who are single, legally married, separated, divorced or widowed. Data are also provided on the marital status of persons who reported living common-law. The data are reported for individuals, for the entire Canadian population.

It is possible to subscribe to all the day-of-release bundles. For more information, refer to Catalogue No. 97F0023XCB.

This table shows 2001 Census data for the following levels of geography: Canada, provinces, territories, census metropolitan areas and census agglomerations .

This table is part of the topic "Marital Status of Canadians," which presents 2001 Census data on marital status and common-law status, by age and sex. These data show the number of persons who are single, legally married, separated, divorced or widowed. Data are also provided on the marital status of persons who reported living common-law. The data are reported for individuals, for the entire Canadian population.

It is possible to subscribe to all the day-of-release bundles. For more information, refer to Catalogue No. 97F0023XCB.

This table is FREE on the Internet, Catalogue No. 95F0405XIE2001004.

This table shows 2001 Census data for the following levels of geography: Canada, provinces, territories, census divisions and census subdivisions.

This table is part of the topic "Marital Status of Canadians," which presents 2001 Census data on marital status and common-law status, by age and sex. These data show the number of persons who are single, legally married, separated, divorced or widowed. Data are also provided on the marital status of persons who reported living common-law. The data are reported for individuals, for the entire Canadian population.

It is possible to subscribe to all day-of-release bundles. For more information, refer to Catalogue No. 97F0023XCB.

This study examines the geographic distribution of livestock and poultry in May 2001, at the time of the 2001 Census of Agriculture. It compares it with the situation on Census Day 1991 to determine how concentrations have changed during the 1990s.

National statistical offices are often called upon to produce statistics for small geographic areas, in addition to their primary responsibility for measuring the condition of the country as a whole and its major subdivisions. This task presents challenges that are different from those faced in statistical programs aiming primarily at national or provincial statistics. This paper examines these challenges and identifies strategies and approaches for the development of programs of small area statistics. The important foundation of a census of population, as well as the primary role of a consistent geographic infrastructure, are emphasized. Potential sources and methods for the production of small area data in the social, economic and environmental fields are examined. Some organizational and dissemination issues are also discussed.

The analysis of survey data from different geographical areas where the data from each area are polychotomous can be easily performed using hierarchical Bayesian models, even if there are small cell counts in some of these areas. However, there are difficulties when the survey data have missing information in the form of non-response, especially when the characteristics of the respondents differ from the non-respondents. We use the selection approach for estimation when there are non-respondents because it permits inference for all the parameters. Specifically, we describe a hierarchical Bayesian model to analyse multinomial non-ignorable non-response data from different geographical areas; some of them can be small. For the model, we use a Dirichlet prior density for the multinomial probabilities and a beta prior density for the response probabilities. This permits a 'borrowing of strength' of the data from larger areas to improve the reliability in the estimates of the model parameters corresponding to the smaller areas. Because the joint posterior density of all the parameters is complex, inference is sampling-based and Markov chain Monte Carlo methods are used. We apply our method to provide an analysis of body mass index (BMI) data from the third National Health and Nutrition Examination Survey (NHANES III). For simplicity, the BMI is categorized into 3 natural levels, and this is done for each of 8 age-race-sex domains and 34 counties. We assess the performance of our model using the NHANES III data and simulated examples, which show our model works reasonably well.

This Cartographic Boundary File for Canada contains the boundaries of all 82 census agricultural regions delineated for the 2001 Census of Agriculture together with the shoreline around Canada and the larger inland lakes, all integrated in a single layer. The boundary file coordinates are latitude/longitude and are based on the North American Datum of 1983 (NAD83). The file is available in both ARC/INFO Interchange and MapInfo Interchange formats and a reference guide is also provided.

Cartographic Boundary Files can be used with Census of Population, Census of Agriculture or other Statistics Canada data for data analysis and thematic mapping (with appropriate software). Geographic codes provide the linkage between the statistical data and the geographic area boundaries. Cartographic Boundary Files can also be used to create new geographic areas by aggregating standard geographic areas, and for other data manipulations available with the user's software. The Cartographic Boundary Files are positionally consistent with the Road Network Files and Skeletal Road Network Files, which can provide additional geographic context for mapping applications.