In 2024, the total number of deaths in China amounted to around 10.93 million. The number of deaths increased slightly but steadily over the past two decades, only disrupted by the coronavirus pandemic. This trend is mainly related to China’s demographic development and is expected to accelerate in the upcoming years. China’s aging society China had the second largest population on earth in 2024. However, population growth in China has gradually decreased over the last decades and finally turned negative in 2022. Together with steadily improving health standards and growing life expectancy, this has led to a quickly aging society. As relatively large age cohorts are now reaching the years of retirement, the number of elderly in the country is projected to increase quickly. This is especially visible in the number of people aged 80 years and above, which is expected to rise more than four-fold from 32 million in 2020 to 132 million in 2050. This development will probably be the main factor leading to a growing number of mortalities in China in the upcoming years. China’s mortality rate in comparison Globally, China’s mortality rate is at a low range at slightly less than eight deaths per thousand inhabitants annually. The low mortality rate was a result of political stability and steady improvements in the health system. As the Chinese population grows older, cancer, heart attacks, and cerebrovascular diseases are increasingly common causes of death. In comparison to most Western countries, the number of fatalities due to COVID-19 was low in 2020 and 2021, but there was a slight excess mortality in 2023 and. Most common infectious diseases with high death rates in China were AIDS, Tuberculosis, and Hepatitis B in 2021.

In March 2020, during the peak of the COVID-19 pandemic, Italy recorded the highest monthly number of deaths across the period January 2019-October 2024. The number of individuals who died in March 2020 was 86,500. Another critical month was November 2020, when 78,500 deaths were reported. By contrast, in September 2019, 46,500 deaths were recorded, the lowest number of fatalities within the past five years. The deaths registered from February to June 2024 were the lowest since 2019.

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.

Germany DE: Number of Deaths Ages 20-24 Years data was reported at 1,391.000 Person in 2019. This records a decrease from the previous number of 1,398.000 Person for 2018. Germany DE: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 2,215.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 4,715.000 Person in 1990 and a record low of 1,391.000 Person in 2019. Germany DE: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; 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.

Chart and table of the World death rate from 1950 to 2025. United Nations projections are also included through the year 2100.

This table contains the number of victims of suicide arranged by marital status, method, motives, age and sex. They represent the number deaths by suicide in the resident population of the Netherlands.

The figures in this table are equal to the suicide figures in the causes of death statistics, because they are based on the same files. The causes of death statistics do not contain information on the motive of suicide. For the years 1950-1995, this information is obtained from a historical data file on suicides. For the years 1996-now the motive is taken from the external causes of death (Niet-Natuurlijke dood) file. Before the 9th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), i.e. for the years 1950-1978, it was not possible to code "jumping in front of train/metro". For these years 1950-1978 "jumping in front of train/metro" has been left empty, and it has been counted in the group "other method".

Relative figures have been calculated per 100 000 of the corresponding population group. The figures are calculated based on the average population of the corresponding year.

Data available from: 1950

Status of the figures: The figures up to and including 2023 are final.

Changes as of January 23rd 2025: The figures for 2023 are made final.

When will new figures be published: In the third quarter of 2025 the provisional figures for 2024 will be published.

This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. The data is grouped by different time periods including 3-month period, weekly, and total (cumulative since January 1, 2020). United States death counts and rates include the 50 states, plus the District of Columbia and New York City. New York state estimates exclude New York City. Puerto Rico is included in HHS Region 2 estimates. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across states. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly/monthly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

In 2024, there were roughly 18,100 reported fatalities caused by natural disaster events worldwide. This was well below the 21st-century average and significantly lower than the fatalities recorded in 2023, which were driven by the earthquakes that hit Turkey and Syria on February and became the deadliest catastrophes in 2023, with nearly 60,000 reported deaths. Economic losses due to natural disasters The economic losses due to natural disaster events worldwide amounted to about 368 billion U.S. dollars in 2024. Although figures in recent years have remained mostly stable, 2011 remains the costliest year to date. Among the different types of natural disaster events, tropical cyclones caused the largest economic losses across the globe in 2024. What does a natural disaster cost? Hurricane Katrina has been one of the costliest disasters in the world, costing the insurance industry some 102 billion U.S. dollars. The resilience of societies against catastrophes have been boosted by insurance industry payouts. Nevertheless, insurance payouts are primarily garnered by industrialized countries. In emerging and developing regions, disaster insurance coverage is still limited, despite the need for improved risk management and resilience as a method to mitigate the impact of disasters and to promote sustainable growth.

This table contains provisional data on the number of deaths among the population of the Netherlands.

The data can be broken down by gender and age group.

Data available from: 1971

Status of the figures: The figures for the years 1971 to 2023 inclusive are final. The figures as of 2024 are provisional. These figures may change with each renewal of the publication due to the fact that death registrations received later are still included. As this method is different from the method used for monthly mortality figures, minor discrepancies may occur.

Changes as of 7 March 2025: The provisional figures of week 7 and 8 of 2025 have been added.

When will new figures be published? From May 2024, the table will be updated once every two weeks with provisional figures of the two weeks before the current week number minus one. Publication is usually delayed around public holidays (e.g. Ascension Day and Boxing Day).

Iran IR: Number of Deaths Ages 20-24 Years data was reported at 6,136.000 Person in 2019. This records a decrease from the previous number of 6,390.000 Person for 2018. Iran IR: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 9,191.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 13,846.000 Person in 2008 and a record low of 6,136.000 Person in 2019. Iran IR: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; 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 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.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

Death rate, crude (per 1,000 people) in Ireland was reported at 6.9 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ireland - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

Number and percentage of deaths, by month and place of residence, 1991 to most recent year.

This dataset is deprecated and will be removed by the end of the calendar year 2024. Updated on 8/18/2024 Number of deaths by underlying cause for selected causes of death among Maryland residents (1992-2017).

In 2024, Japan had the highest crude death rate among the countries in East Asia, with a crude death rate of 12.9 deaths per 1,000 of the population. In comparison, Mongolia had the lowest crude death rate, with 5.5 deaths for every 1,000 of the total population that year.

Deaths, numner by region, age, sex and year

Trinidad and Tobago TT: Number of Deaths Ages 20-24 Years data was reported at 123.000 Person in 2019. This records a decrease from the previous number of 128.000 Person for 2018. Trinidad and Tobago TT: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 160.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 258.000 Person in 2008 and a record low of 123.000 Person in 2019. Trinidad and Tobago TT: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; 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.

Antigua and Barbuda AG: Number of Deaths Ages 20-24 Years data was reported at 5.000 Person in 2019. This stayed constant from the previous number of 5.000 Person for 2018. Antigua and Barbuda AG: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 6.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 8.000 Person in 1993 and a record low of 5.000 Person in 2019. Antigua and Barbuda AG: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Antigua and Barbuda – Table AG.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; 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 publication of the SHMI relates to discharges in the reporting period August 2023 - July 2024. 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).