For the week ending June 27, 2025, weekly deaths in England and Wales were 568 below the number expected, compared with 375 below what was expected in the previous week. In late 2022 and through early 2023, excess deaths were elevated for a number of weeks, with the excess deaths figure for the week ending January 13, 2023, the highest since February 2021. In the middle of April 2020, at the height of the COVID-19 pandemic, there were almost 12,000 excess deaths a week recorded in England and Wales. It was not until two months later, in the week ending June 19, 2020, that the number of deaths began to be lower than the five-year average for the corresponding week. Most deaths since 1918 in 2020 In 2020, there were 689,629 deaths in the United Kingdom, making that year the deadliest since 1918, at the height of the Spanish influenza pandemic. As seen in the excess death figures, April 2020 was by far the worst month in terms of deaths during the pandemic. The weekly number of deaths for weeks 16 and 17 of that year were 22,351, and 21,997 respectively. Although the number of deaths fell to more usual levels for the rest of that year, a winter wave of the disease led to a high number of deaths in January 2021, with 18,676 deaths recorded in the fourth week of that year. For the whole of 2021, there were 667,479 deaths in the UK, 22,150 fewer than in 2020. Life expectancy in the UK goes into reverse In 2022, life expectancy at birth for women in the UK was 82.6 years, while for men it was 78.6 years. This was the lowest life expectancy in the country for ten years, and came after life expectancy improvements stalled throughout the 2010s, and then declined from 2020 onwards. There is also quite a significant regional difference in life expectancy in the UK. In the London borough of Kensington and Chelsea, for example, the life expectancy for men was 81.5 years, and 86.5 years for women. By contrast, in Blackpool, in North West England, male life expectancy was just 73.1 years, while for women, life expectancy was lowest in Glasgow, at 78 years.

In November of 2024, the excess mortality rate of the Netherlands stood at 9.9 percent, indicating that 9.9 percent more people died than in the baseline period. This is after a significant peak in April of 2020, following the outbreak of the coronovirus (COVID-19).

The number of deaths per week in Sweden was higher from week 12 to week 26 in 2020 than it was in the years 2015 to 2019. Moreover, it increased from week 46 in 2020 and fell below the average of 2015 to 2019 in week five in 2021. Several of the deaths in 2020 were related to the coronavirus pandemic. In 2022, the number of deaths per week decreased from week seven, but was high in the last weeks of the year and the first weeks of 2023, before falling again. Causes of death In 2022, diseases of the circulatory system were the most common cause of death in Sweden. Over 28,000 deaths were caused by this type of disease that year. Cancerous tumors caused the second highest number of deaths in Sweden. COVID-19 in Sweden Sweden is the Nordic country that has reported the highest number of COVID-19 deaths since the outbreak of the pandemic. All in all, the number of deaths in Sweden in 2023 amounted to nearly 95,000.

In August 2023, the excess mortality rate of Belgium stood at -0.6 percent, indicating that 0.6 percent less people died than in the baseline period. This is following a significant peak in April 2020, following the outbreak of the coronavirus (COVID-19).

This publication of the SHMI relates to discharges in the reporting period February 2024 - January 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).

In November of 2024, the excess mortality rate of Luxembourg stood at 2.6 percent, indicating that 2.6 percent more people died than in the baseline period. This is after a significant peak in November of 2020, following the outbreak of the coronovirus (COVID-19).

As a result of the COVID-19 pandemic the number of excess deaths in Europe reached a peak in 2020 with over 400 thousand. Excess deaths in Europe also remained relatively high in 2021 and 2022. Through week 40 in 2023, around 80 thousand excess deaths were recorded. Excess death is a metric in epidemiology of the increase in the number of deaths over a time period and/or in a specific group when compared to the predicted value or statistical trend over a reference period or in a reference population.

Notes:

This dataset reports the daily reported number of the 7-day moving average rates of Deaths involving COVID-19 by vaccination status and by age group. Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak. Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool Data includes: * Date on which the death occurred * Age group * 7-day moving average of the last seven days of the death rate per 100,000 for those not fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those vaccinated with at least one booster ##Additional notes As of June 16, all COVID-19 datasets will be updated weekly on Thursdays by 2pm. As of January 12, 2024, data from the date of January 1, 2024 onwards reflect updated population estimates. This update specifically impacts data for the 'not fully vaccinated' category. On November 30, 2023 the count of COVID-19 deaths was updated to include missing historical deaths from January 15, 2020 to March 31, 2023. CCM is a dynamic disease reporting system which allows ongoing update to data previously entered. As a result, data extracted from CCM represents a snapshot at the time of extraction and may differ from previous or subsequent results. Public Health Units continually clean up COVID-19 data, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes and current totals being different from previously reported cases and deaths. Observed trends over time should be interpreted with caution for the most recent period due to reporting and/or data entry lags. The data does not include vaccination data for people who did not provide consent for vaccination records to be entered into the provincial COVaxON system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information in COVaxON. “Not fully vaccinated” category includes people with no vaccine and one dose of double-dose vaccine. “People with one dose of double-dose vaccine” category has a small and constantly changing number. The combination will stabilize the results. Spikes, negative numbers and other data anomalies: Due to ongoing data entry and data quality assurance activities in Case and Contact Management system (CCM) file, Public Health Units continually clean up COVID-19, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes, negative numbers and current totals being different from previously reported case and death counts. Public Health Units report cause of death in the CCM based on information available to them at the time of reporting and in accordance with definitions provided by Public Health Ontario. The medical certificate of death is the official record and the cause of death could be different. Deaths are defined per the outcome field in CCM marked as “Fatal”. Deaths in COVID-19 cases identified as unrelated to COVID-19 are not included in the Deaths involving COVID-19 reported. Rates for the most recent days are subject to reporting lags All data reflects totals from 8 p.m. the previous day. This dataset is subject to change.

Excess Mortality Rate data was reported at 2.500 % in Dec 2024. This records an increase from the previous number of 2.400 % for Nov 2024. Excess Mortality Rate data is updated monthly, averaging 5.850 % from Jan 2020 (Median) to Dec 2024, with 60 observations. The data reached an all-time high of 97.000 % in Nov 2020 and a record low of -8.400 % in Feb 2023. Excess Mortality Rate data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Poland – Table PL.G007: Excess Mortality Rate.

In 2024, the total number of deaths in China amounted to around ***** 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 ** million in 2020 to *** 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 *********************************** in 2021.

Notes:

Notes:

Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.

This dataset represents preliminary estimates of cumulative U.S. COVID-19 disease burden for the 2024-2025 period, including illnesses, outpatient visits, hospitalizations, and deaths. The weekly COVID-19-associated burden estimates are preliminary and based on continuously collected surveillance data from patients hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The data come from the Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET), a surveillance platform that captures data from hospitals that serve about 10% of the U.S. population. Each week CDC estimates a range (i.e., lower estimate and an upper estimate) of COVID-19 -associated burden that have occurred since October 1, 2024.

Note: Data are preliminary and subject to change as more data become available. Rates for recent COVID-19-associated hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.

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