In 2023, the age-specific death rate for men aged 90 or over in England and Wales was 248.1 per one thousand population, and 215.1 for women. Except for infants that were under the age of one, younger age groups had the lowest death rate, with the death rate getting progressively higher in older age groups.

Life expectancy at birth and at age 65, by sex, on a three-year average basis.

Mean, median and modal ages at death in the UK and its constituent countries, 2001 to 2003 and 2016 to 2018.

This statistic shows the average age of leading causes of death in Taiwan in 2023. That year, people who died from chronic lower respiratory diseases in Taiwan were on average 84 years old, whereas the average age of people who died as a result of accidents and adverse effects was around 66 years.

Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.

This scatter chart displays median age (year) against death rate (per 1,000 people) in Finland. The data is filtered where the date is 2021. The data is about countries per year.

The life expectancy for a newborn, regardless of gender, born in 2024 in Poland was 78 years. This means that if the mortality conditions of the population remained unchanged throughout their lives, they would live to this age on average. In general, the life expectancy increased in the observed period.

This scatter chart displays death rate (per 1,000 people) against median age (year) in Austria. The data is filtered where the date is 2021. The data is about countries per year.

This dataset contains counts of deaths for California counties based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

The final data tables include both deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence), whereas the provisional data table only includes deaths that occurred in each county regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

Canada CA: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 4.700 Ratio in 2023. This stayed constant from the previous number of 4.700 Ratio for 2022. Canada CA: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 7.000 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 28.600 Ratio in 1960 and a record low of 4.700 Ratio in 2023. Canada CA: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.;Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.;Weighted average;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation. This is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/].

This scatter chart displays death rate (per 1,000 people) against median age (year) in Dominican Republic. The data is filtered where the date is 2021. The data is about countries per year.

Mortality from stroke (ICD-10 I60-I69, equivalent to ICD-9 430-438). To reduce deaths from stroke. Legacy unique identifier: P00674

Infant deaths have decreased annually in Germany during the timeline presented, with ***** recorded in 2023. There were *** deaths per 1,000 live births that year.

Mortality from lung cancer (ICD-10 C33-C34 equivalent to ICD-9 162). To reduce deaths from lung cancer. Legacy unique identifier: P00508

This dataset contains counts of deaths for California as a whole based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

The final data tables include both deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence), whereas the provisional data table only includes deaths that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

Nigeria NG: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 10.500 Ratio in 2019. This records a decrease from the previous number of 10.700 Ratio for 2018. Nigeria NG: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 15.200 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 20.900 Ratio in 1990 and a record low of 10.500 Ratio in 2019. Nigeria NG: Probability of Dying at Age 20-24 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

Median age at death years by SSD, from 2003 to 2007.

Mean, median and modal age at death by sex and NS-SEC classes between 1982 to 1986 and 2007 to 2011.

This scatter chart displays death rate (per 1,000 people) against median age (year) in Bangladesh. The data is filtered where the date is 2021. The data is about countries per year.

The median age at death of males/females/people for deaths occurring between 2010 and 2014 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). Data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). Note: The Local Government Area (LGA) data are based on deaths within Statistical Areas Level 2 (SA2). Where an SA2 is split over multiple LGAs the deaths were assigned to the LGA containing the largest portion of the SA2. LGAs that consequently recorded 0 deaths were assigned the median age at death of the SA2 from which the LGA was split.
Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System.