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This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via paper questionnaires and personal interviews conducted in January, February and March after the reference year. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces and the 3 territories. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).

This study identifies the flag-related trends of fleets used in Canada's international sea-borne trade relative to the world fleet during the 15-year period from 1985 to 1999. The goal is to determine if there is any indication that fleets that served Canada were any less safe in 1999 than in 1985.

This study uses fleet and ship-casualty statistics published by Lloyd's Register and data on vessel entrances and clearances from Statistics Canada's Marine International Origin-Destination Database to develop a flag-related risk index.

This report uses container data from two sources, Statistics Canada's marine international Origin/Destination (O/D) database and Journal of Commerce P.I.E.R.S. data (provided by the Maritime Administration of the US Department of Transport).

International shipping is a highly competitve industry, especially the shipping of containers. Shipping lines are constantly trying to increase productivity by reducing costs and by attracting larger volumes of containers. In response to spiraling container freight rates, the lines have been driven to increase economies of scale. These economies are expected to be achieved through largers ships and fewer, more efficient port calls. Larger ships and client demands for frequent service have encouraged innovative alliances and pooling agreements among lines to maximize the use of this larger capacity.

This report uses container data from two sources, Statistics Canada's marine international Origin/Destination (O/D) database and Journal of Commerce P.I.E.R.S. data (provided by the Maritime Administration of the US Department of Transport).

This study identifies the flag-related trends of fleets used in Canada's international sea-borne trade relative to the world fleet during the 15-year period from 1985 to 1999. The goal is to determine if there is any indication that fleets that served Canada were any less safe in 1999 than in 1985.

This study uses fleet and ship-casualty statistics published by Lloyd's Register and data on vessel entrances and clearances from Statistics Canada's Marine International Origin-Destination Database to develop a flag-related risk index.

International shipping is a highly competitve industry, especially the shipping of containers. Shipping lines are constantly trying to increase productivity by reducing costs and by attracting larger volumes of containers. In response to spiraling container freight rates, the lines have been driven to increase economies of scale. These economies are expected to be achieved through largers ships and fewer, more efficient port calls. Larger ships and client demands for frequent service have encouraged innovative alliances and pooling agreements among lines to maximize the use of this larger capacity.

This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via paper questionnaires and personal interviews conducted in January, February and March after the reference year. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces and the 3 territories. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).