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The statistical tables in this document present the numbers of deaths and death rates by marital status, age and sex for Canada, the 10 provinces and 3 territories. Also presented are data on infant, neonatal, post-neonatal and perinatal deaths; deaths in hospital; and deaths subject to autopsy.

This article examines differences in birth outcomes by neighbourhood income and recent immigration for singleton live births in Toronto. The birth data were extracted from hospital discharge abstracts compiled by the Canadian Institute for Health Information.

This report describes the design, methodology, and results of the first study undertaken by Statistics Canada to measure the impact on Canadian cause of death trends of a new revision of the World Health Organization's International Classification of Diseases (ICD).

Using 1999 Canadian mortality data, Statistics Canada carried out a comparability, or "bridge-coding", study by dual-coding deaths to both the Ninth and Tenth Revisions of the International Classification of Diseases (ICD-9 and ICD-10). The preliminary results of this exercise were used to generate comparability ratios; these ratios measure the net effect of the new revision, with ratios above 1.00 indicating a net increase in deaths classified to a cause of death, and ratios below 1.00 indicating a net decrease.

The comparability ratios derived from dual-coding medical certificates of cause of death presented in this report estimate the size and direction of the disruption to cause of death trends due to the implementation of ICD-10. Researchers and analysts using Canadian mortality data should use these summary measures to calculate comparability-modified death counts and mortality rates to bridge the gap between ICD-9 and ICD-10.

This article illustrates analytical uses of multiple-cause-of-death data, which reflect all causes entered on the death certificate, not only the single, underlying cause. Heart diseases are used as an example.

The statistical tables in the first part of this document relate to the numbers and rates of live births and stillbirths of at least twenty weeks gestation; total, general and age specific fertility rates; live births by age of mother and order of live birth; male and female birth weights by age of mother and gestation period at the time of birth; and live births by census division and counties in the province(s).

In the second part of this document, the statistical tables, for Canada, the ten provinces and the two territories, relate to the numbers and rates of deaths by marital status, age and sex; infant, neonatal, postnatal and perinatal deaths; maternal deaths; and stillbirths of at least twenty weeks gestation at the time of birth.

The statistical tables in this document present the numbers of deaths and death rates by marital status, age and sex for Canada, the 10 provinces and 3 territories. Also presented are data on infant, neonatal, post-neonatal and perinatal deaths; deaths in hospital; and deaths subject to autopsy.

The statistical tables in the first part of this document relate to the numbers and rates of live births and stillbirths of at least twenty weeks gestation; total, general and age specific fertility rates; live births by age of mother and order of live birth; male and female birth weights by age of mother and gestation period at the time of birth; and live births by census division and counties in the province(s).

In the second part of this document, the statistical tables, for Canada, the ten provinces and the two territories, relate to the numbers and rates of deaths by marital status, age and sex; infant, neonatal, postnatal and perinatal deaths; maternal deaths; and stillbirths of at least twenty weeks gestation at the time of birth.

This article examines differences in birth outcomes by neighbourhood income and recent immigration for singleton live births in Toronto. The birth data were extracted from hospital discharge abstracts compiled by the Canadian Institute for Health Information.

This article illustrates analytical uses of multiple-cause-of-death data, which reflect all causes entered on the death certificate, not only the single, underlying cause. Heart diseases are used as an example.

This report describes the design, methodology, and results of the first study undertaken by Statistics Canada to measure the impact on Canadian cause of death trends of a new revision of the World Health Organization's International Classification of Diseases (ICD).

Using 1999 Canadian mortality data, Statistics Canada carried out a comparability, or "bridge-coding", study by dual-coding deaths to both the Ninth and Tenth Revisions of the International Classification of Diseases (ICD-9 and ICD-10). The preliminary results of this exercise were used to generate comparability ratios; these ratios measure the net effect of the new revision, with ratios above 1.00 indicating a net increase in deaths classified to a cause of death, and ratios below 1.00 indicating a net decrease.

The comparability ratios derived from dual-coding medical certificates of cause of death presented in this report estimate the size and direction of the disruption to cause of death trends due to the implementation of ICD-10. Researchers and analysts using Canadian mortality data should use these summary measures to calculate comparability-modified death counts and mortality rates to bridge the gap between ICD-9 and ICD-10.