Age-standardised death rate for HIV-AIDS in OECD countries
2012, rate per 100,000 population
Country | Age-standardised death rate per 100,000 population |
---|---|
Australia | 0.3 |
Austria | 0.4 |
Belgium | 0.3 |
Canada | 0.8 |
Chile | 2.7 |
Czechia | 0.1 |
Denmark | 0.4 |
Estonia | 4 |
Finland | 0.1 |
France | 0.6 |
Germany | 0.4 |
Greece | 0.4 |
Hungary | 0.1 |
Ireland | 0.3 |
Israel | 0.5 |
Italy | 1.3 |
Japan | 0 |
South Korea | 0.2 |
Latvia | 4.4 |
Luxembourg | 1.4 |
Mexico | 4.6 |
Netherlands | 0.2 |
New Zealand | 0.3 |
Norway | 0.2 |
Poland | 0.3 |
Portugal | 4.4 |
Slovakia | 0 |
Slovenia | 0.1 |
Spain | 1.7 |
Sweden | 0.1 |
Switzerland | 0.5 |
Türkiye | 0.1 |
UK | 0.4 |
USA | 2.3 |
Definitions
Life expectancy: Life expectancy at birth and at ages 40, 60, 65 and 80 years old is the average number of years that a person at that age can be expected to live, assuming that age-specific mortality levels remain constant.
Causes of mortality: Number of deaths and age-standardised death rates by causes of deaths.
Infant mortality: The number of deaths of children aged under one year of age that occurred in a given year, expressed per 1000 live births.
Neonatal mortality: The number of deaths of children under 28 days of age in a given year, expressed per 1000 live births.
Perinatal mortality: The ratio of deaths of children within one week of birth (early neonatal deaths) plus foetal deaths of minimum gestation period 28 weeks or minimum foetal weight of 1000g, expressed per 1000 births.
Maternal mortality: Number of maternal deaths, all causes, per 100 000 live births
Potential years of life years lost: Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit. The limit of 70 years has been chosen for the calculations in OECD Health Statistics.
Perceived health status: Percentage of the population, aged 15 years old and over who report their health to be ‘good/very good' (or excellent) (all positive response categories), ‘fair’ (not good, not bad), ‘bad/very bad’ (all negative response categories).
Low birthweight: Number of live births weighing less than 2500 grams as a percentage of total number of live births.
DMFT at age 12: Average number of teeth missing, filled or decayed in children at age 12.
Acquired Immunodeficiency Syndrome (AIDS): Number of AIDS cases and incidence rates per 100 000 population at year of diagnosis.
Communicable diseases: Incidence of pertussis, Incidence of measles, Incidence of hepatitis B. Rate of reported cases per 100 000 population (only acute cases are taken into account).
Cancer: Selected cancer incidence rates. The number of new cancer cases per 100 000 population. Rates have been age-standardised according to the World Standard Population.
Injuries in road traffic accidents: Number of people injured in road traffic accidents per million population.
Absence from work due to illness: The number of self-reported work days lost per year due to illness per employed person. It excludes maternity leave.
For more information
Data provided by
Dataset name
OECD Health Statistics 2017
Webpage:
http://stats.oecd.org/Index.aspx?DataSetCode=HEALTH_STAT
How to find the data
At URL provided, select 'Health > Health Status > Export > Text file (CSV)'
Import & extraction details
File as imported: OECD Health Statistics 2017
From the dataset OECD Health Statistics 2017, this data was extracted:
- Rows: 2-396,437
- Column: 9
- Provided: 395,263 data points
This data forms the table International Comparisons - Health statistics for OECD countries 2000–2016.
Dataset originally released on:
June 2017
About this dataset
The OECD Health Database offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool to carry out comparative analyses and draw lessons from international comparisons of diverse health systems.