In 2024, the mortality rate in China ranged at approximately 7.76 deaths per 1,000 inhabitants. The mortality rate in China displayed an uneven development over the last two decades. This is mainly related to the very uneven sizes of Chinese age groups, improvements in health care, and the occurrence of epidemics. However, an overall growing trend is undisputable and related to China's aging population. As the share of the population aged 60 and above will be growing significantly over the upcoming two decades, the mortality rate will further increase in the years ahead. Population in China China was the second most populous country in the world in 2024. However, due to several mechanisms put into place by the Chinese government as well as changing circumstances in the working and social environment of the Chinese people, population growth has subsided over the past decades and finally turned negative in 2022. The major factor for this development was a set of policies introduced by the Chinese government in 1979, including the so-called one-child policy, which was intended to improve people’s living standards by limiting the population growth. However, with the decreasing birth rate and slower population growth, China nowadays is facing the problems of a rapidly aging population. Birth control in China According to the one-child policy, a married couple was only allowed to have one child. Only under certain circumstances were parents allowed to have a second child. As the performance of family control had long been related to the assessment of local government’s achievements, violations of the rule were severely punished. The birth control in China led to a decreasing birth rate and a more skewed gender ratio of new births due to a widely preference for male children in the Chinese society. Nowadays, since China’s population is aging rapidly, the one-child policy has been re-considered as an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. In May 2021, a new three-child policy has been introduced. However, many young Chinese people today are not willing to have more children due to high costs of raising a child, especially in urban areas.

In 2024, Myanmar had the highest crude death rate among the Southeast Asian countries, with *** deaths per thousand population. That year, Singapore had the lowest crude death rate, with *** deaths per thousand population.Factors that influence the death rateThe death rate, also called mortality rate, is generally influenced by various factors such as the social environment, diseases, health facilities and services as well as the food supply of the respective countries. Myanmar’s government spent five percent of its public budget on health in 2016. In 2020, health expenditure per capita in Myanmar amounted to around ** U.S. dollars. The Maldives had the lowest crude death rate in the Asia-Pacific region in 2024. There, health expenditure accounted for ***** percent of the country’s GDP. Furthermore, the share of undernourished people was at around ***** percent in Myanmar in 2020. Within Southeast Asia, Myanmar has also been one of the poorest countries. In 2020, the country’s GDP per capita was estimated at **** thousand U.S. dollars, the lowest across the Asia-Pacific region.

Death rate, crude (per 1,000 people) in United States was reported at 9.2 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Mortality rate, under-5 (per 1,000 live births) in United States was reported at 6.5 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Mortality rate, under-5 (per 1,000) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Death rate, crude (per 1,000 people) in World was reported at 7.5788 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

This publication of the SHMI relates to discharges in the reporting period May 2024 - April 2025. The SHMI is the ratio between the actual number of patients who die following hospitalisation at the trust and the number that would be expected to die on the basis of average England figures, given the characteristics of the patients treated there. The SHMI covers patients admitted to hospitals in England who died either while in hospital or within 30 days of being discharged. To help users of the data understand the SHMI, trusts have been categorised into bandings indicating whether a trust's SHMI is 'higher than expected', 'as expected' or 'lower than expected'. For any given number of expected deaths, a range of observed deaths is considered to be 'as expected'. If the observed number of deaths falls outside of this range, the trust in question is considered to have a higher or lower SHMI than expected. The expected number of deaths is a statistical construct and is not a count of patients. The difference between the number of observed deaths and the number of expected deaths cannot be interpreted as the number of avoidable deaths or excess deaths for the trust. The SHMI is not a measure of quality of care. A higher than expected number of deaths should not immediately be interpreted as indicating poor performance and instead should be viewed as a 'smoke alarm' which requires further investigation. Similarly, an 'as expected' or 'lower than expected' SHMI should not immediately be interpreted as indicating satisfactory or good performance. Trusts may be located at multiple sites and may be responsible for 1 or more hospitals. A breakdown of the data by site of treatment is also provided, as well as a breakdown of the data by diagnosis group. Further background information and supporting documents, including information on how to interpret the SHMI, are available on the SHMI homepage (see Related Links). From this publication onwards, the SHMI dashboard has been updated to include new functionality including time series visualisations.

Death rate, crude (per 1,000 people) in Mexico was reported at 6.161 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mexico - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Forecast: Total Infant Mortality Rates in the US 2024 - 2028 Discover more data with ReportLinker!

Death rate, crude (per 1,000 people) in China was reported at 7.87 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Mortality rate, infant, female (per 1,000 live births) in United States was reported at 5 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Mortality rate, infant, female (per 1,000 live births) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

In 2024, Japan had the highest crude death rate among the countries in East Asia, with a crude death rate of **** deaths per 1,000 of the population. In comparison, Mongolia had the lowest crude death rate, with *** deaths for every 1,000 of the total population that year.

Forecast: Child Mortality Rate in India 2024 - 2028 Discover more data with ReportLinker!

Forecast: Perinatal Mortality Rate in Denmark 2024 - 2028 Discover more data with ReportLinker!

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

Forecast: Maternal Death Rate (Lifetime Risk) in Poland 2024 - 2028 Discover more data with ReportLinker!

Death rate, crude (per 1,000 people) in Brazil was reported at 7.077 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.