20 datasets found
  1. Life Expectancy - Women at the age of 65 years in the U.S. 2001-2021

    • statista.com
    Updated Jul 19, 2024
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    Statista (2024). Life Expectancy - Women at the age of 65 years in the U.S. 2001-2021 [Dataset]. https://www.statista.com/statistics/266656/us-female-life-expectancy-at-the-age-of-65-years-since-1960/
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    Dataset updated
    Jul 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2021, a woman in the United States aged 65 years could expect to live another 19.7 years on average. This number decreased in the years 2020 and 2021, after reaching a high of 20.8 years in 2019. Nevertheless, the life expectancy of a woman aged 65 years in the United States is still higher than that of a man of that age. In 2021, a man aged 65 years could be expected to live another 17 years on average.

    Why has the life expectancy in the U.S. declined? Overall, life expectancy in the United States has declined in recent years. In 2019, the life expectancy for U.S. women was 81.4 years, but by 2021 it had decreased to 79.3 years. Likewise, the life expectancy for men decreased from 76.3 years to 73.5 years in the same period. The biggest contributors to this decline in life expectancy are the COVID-19 pandemic and the opioid epidemic. Although deaths from the COVID-19 pandemic have decreased significantly since 2022, deaths from opioid overdose continue to increase, reaching all-time highs in 2021.

    The leading causes of death among U.S. women The leading causes of death among women in the United States in 2020 were heart disease, cancer, and COVID-19. That year heart disease and cancer accounted for a combined 37 percent of all deaths among women, while around 10 percent of deaths were due to COVID-19. The overall leading causes of death in the United States generally reflect the leading causes among women with some slight variations. For example, Alzheimer’s disease is the fourth leading cause of death among women, but the seventh leading cause of death overall in the United States.

  2. Z

    Data for Figures and Tables in "Bounce backs amid continued losses: Life...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 16, 2024
    + more versions
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    Kniffka, Maxi S. (2024). Data for Figures and Tables in "Bounce backs amid continued losses: Life expectancy changes since COVID-19" [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6224375
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    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Jaadla, Hannaliis
    Kashyap, Ridhi
    Kniffka, Maxi S.
    Zhang, Luyin
    Dowd, Jennifer B.
    Aburto, José Manuel
    Schöley, Jonas
    Kashnitsky, Ilya
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data for Figures and Tables in "Bounce backs amid continued losses: Life expectancy changes since COVID-19"

    cc-by Jonas Schöley, José Manuel Aburto, Ilya Kashnitsky, Maxi S. Kniffka, Luyin Zhang, Hannaliis Jaadla, Jennifer B. Dowd, and Ridhi Kashyap. "Bounce backs amid continued losses: Life expectancy changes since COVID-19".

    These are CSV files of data in the figures and tables published in the paper "Bounce backs amid continued losses: Life expectancy changes since COVID-19".

    50-e0diffT.csv

    Figure 1: Life expectancy changes 2019/20 and 2020/21 across countries. The countries are ordered by increasing cumulative life expectancy losses since 2019. Grey dots indicate the average annual LE changes over the years 2015 through 2019.

    51-arriagaT.csv

    Figure 2: Age contributions to life expectancy changes since 2019 separated for 2020 and 2021. The position of the arrowhead indicates the total contribution of mortality changes in a given age group to the change in life expectancy at birth since 2019. The discontinuity in the arrow indicates those contributions separately for the years 2020 and 2021. Annual contributions can compound or reverse. The total life expectancy change from 2019 to 2021 in a given country is the sum of the arrowhead positions across age.

    52-sexdiff.csv

    Figure 3: Change in the female life expectancy advantage from 2019 through 2021. Blue colors indicate an increase and red colors a decrease in the female life expectancy advantage. Muted colors indicate non-significant changes.

    53-e0diffcodT.csv

    Figure 4: Life expectancy deficit in 2021 decomposed into contributions by age and cause of death. LE deficit is defined as observed minus expected life expectancy had pre-pandemic mortality trends continued.

    55-vaxe0.csv

    Figure 5: Years of life expectancy deficit during October through December 2021 contributed by ages <60 and 60+ against % of population twice vaccinated by October 1st in the respective age groups. LE deficit is defined as the counterfactual LE from a Lee-Carter mortality forecast based on death rates for the fourth quarter of the years 2015 to 2019 minus observed LE.

    54-tab_arriaga.csv

    Table 1: Months of life expectancy (LE) changes and deficits (labelled ES) since the start of the pandemic attributed to age-specific mortality changes (labelled AT). LE deficit is defined as observed minus expected life expectancy had pre-pandemic mortality trends continued.

  3. COVID-19 Worldwide Daily Data

    • kaggle.com
    Updated Aug 28, 2020
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    Altadata (2020). COVID-19 Worldwide Daily Data [Dataset]. https://www.kaggle.com/altadata/covid19/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 28, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Altadata
    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F5505749%2F2b83271d61e47e2523e10dc9c28e545c%2F600x200.jpg?generation=1599042483103679&alt=media" alt="">

    ALTADATA is a curated data marketplace where our subscribers and our data partners can easily exchange ready-to-analyze datasets and create insights with EPO, our visual data analytics platform.

    COVID-19 Worldwide Daily Data

    Daily global COVID-19 data for all countries, provided by Johns Hopkins University (JHU) Center for Systems Science and Engineering (CSSE). If you want to use the update version of the data, you can use our daily updated data with the help of api key by entering it via Altadata.

    Overview

    In this data product, you may find the latest and historical global daily data on the COVID-19 pandemic for all countries.

    The COVID‑19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID‑19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). The outbreak was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 30 January 2020 and a pandemic on 11 March. As of 12 August 2020, more than 20.2 million cases of COVID‑19 have been reported in more than 188 countries and territories, resulting in more than 741,000 deaths; more than 12.5 million people have recovered.

    The Johns Hopkins Coronavirus Resource Center is a continuously updated source of COVID-19 data and expert guidance. They aggregate and analyze the best data available on COVID-19 - including cases, as well as testing, contact tracing and vaccine efforts - to help the public, policymakers and healthcare professionals worldwide respond to the pandemic.

    Methodology

    • Cases and Death counts include confirmed and probable (where reported)
    • Recovered cases are estimates based on local media reports, and state and local reporting when available, and therefore may be substantially lower than the true number. US state-level recovered cases are from COVID Tracking Project.
    • Active cases = total cases - total recovered - total deaths
    • Incidence Rate = cases per 100,000 persons
    • Case-Fatality Ratio (%) = Number recorded deaths / Number cases
    • Country Population represents 2019 projections by UN Population Division, integrated to the JHU CSSE's COVID-19 data by ALTADATA

    Data Source

    Related Data Products

    Suggested Blog Posts

    Data Dictionary

    • Reported Date (reported_date) : Covid-19 Report Date
    • Country_Region (country_region) : Country, region or sovereignty name
    • Population (population) : Country populations as per United Nations Population Division
    • Confirmed Case (confirmed) : Confirmed cases include presumptive positive cases and probable cases
    • Active cases (active) : Active cases = total confirmed - total recovered - total deaths
    • Deaths (deaths) : Death cases counts
    • Recovered (recovered) : Recovered cases counts
    • Mortality Rate (mortality_rate) : Number of recorded deaths * 100 / Number of confirmed cases
    • Incident Rate (incident_rate) : Confirmed cases per 100,000 persons
  4. Countries with the lowest life expectancy 2023

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Countries with the lowest life expectancy 2023 [Dataset]. https://www.statista.com/statistics/264719/ranking-of-the-20-countries-with-the-lowest-life-expectancy/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    The countries with the lowest life expectancy worldwide include the Nigeria, Chad, and Lesotho. As of 2023, people born in Nigeria could be expected to live only up to ** years. This is almost ** years shorter than the global life expectancy. Life expectancy The global life expectancy has gradually increased over the past couple decades, rising from **** years in 2011 to **** years in 2023. However, the years 2020 and 2021 saw a decrease in global life expectancy due to the COVID-19 pandemic. Furthermore, life expectancy can vary greatly depending on the country and region. For example, all the top 20 countries with the lowest life expectancy worldwide are in Africa. The countries with the highest life expectancy include Liechtenstein, Switzerland, and Japan. Causes of death The countries with the lowest life expectancy worldwide are all low-income or developing countries that lack health care access and treatment that more developed countries can provide. The leading causes of death in these countries therefore differ from those of middle-income and upper-income countries. The leading causes of death in low-income countries include diseases such as HIV/AIDS and malaria, as well as preterm birth complications, which do not cause substantial death in higher income countries.

  5. COVID-19 Stats and Mobility Trends

    • kaggle.com
    Updated Mar 28, 2021
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    Diogo Alex (2021). COVID-19 Stats and Mobility Trends [Dataset]. https://www.kaggle.com/diogoalex/covid19-stats-and-trends
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 28, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Diogo Alex
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    COVID-19 Stats & Trends

    Context

    This dataset seeks to provide insights into what has changed due to policies aimed at combating COVID-19 and evaluate the changes in community activities and its relation to reduced confirmed cases of COVID-19. The reports chart movement trends, compared to an expected baseline, over time (from 2020/02/15 to 2020/02/05) by geography (across 133 countries), as well as some other stats about the country that might help explain the evolution of the disease.

    Content

    1. Grocery & Pharmacy: Mobility trends for places like grocery markets, food warehouses, farmers' markets, specialty food shops, drug stores, and pharmacies.
    2. Parks: Mobility trends for places like national parks, public beaches, marinas, dog parks, plazas, and public gardens.
    3. Residential: Mobility trends for places of residence.
    4. Retail & Recreation: Mobility trends for places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters.
    5. Transit stations: Mobility trends for places like public transport hubs such as subway, bus, and train stations.
    6. Workplaces: Mobility trends for places of work.
    7. Total Cases: Total number of people infected with the SARS-CoV-2.
    8. Fatalities: Total number of deaths caused by CoV-19.
    9. Government Response Stringency Index: Additive score of nine indicators of government response to CoV-19: School closures, workplace closures, cancellation of public events, public information campaigns, stay at home policies, restrictions on internal movement, international travel controls, testing policy, and contact tracing.
    10. COVID-19 Testing: Total number of tests performed.
    11. Total Vaccinations: Total number of shots given.
    12. Total People Vaccinated: Total number of people given a shot.
    13. Total People Fully Vaccinated: Total number of people fully vaccinated (might require two shots of some vaccines).
    14. Population: Total number of inhabitants.
    15. Population Density per km2: Number of human inhabitants per square kilometer.
    16. Health System Index: Overall performance of the health system.
    17. Human Development Index (HDI): Summary index based on life expectancy at birth, expected years of schooling for children and mean years of schooling for adults, and GNI per capita.
    18. GDP (PPP) per capita: Gross Domestic Product (GDP) per capita based on Purchasing Power Parity (PPP), taking into account the relative cost of local goods, services and inflation rates of the country, rather than using international market exchange rates, which may distort the real differences in per capita income.
    19. Elderly Population (percentage): Percentage of the population above the age of 65 years old.

    References & Acknowledgements

    Bing COVID-19 data. Available at: https://github.com/microsoft/Bing-COVID-19-Data COVID-19 Community Mobility Report. Available at: https://www.google.com/covid19/mobility/ COVID-19: Government Response Stringency Index. Available at: https://ourworldindata.org/grapher/covid-stringency-index Coronavirus (COVID-19) Testing. Available at: https://github.com/owid/covid-19-data/blob/master/public/data/testing/covid-testing-all-observations.csv Coronavirus (COVID-19) Vaccination. Available at: https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/vaccinations/vaccinations.csv List of countries and dependencies by population. Available at: https://www.kaggle.com/tanuprabhu/population-by-country-2020 List of countries and dependencies by population density. Available at: https://www.kaggle.com/tanuprabhu/population-by-country-2020 List of countries by Human Development Index. Available at: http://hdr.undp.org/en/data Measuring Overall Health System Performance. Available at: https://www.who.int/healthinfo/paper30.pdf?ua=1 List of countries by GDP (PPP) per capita. Available at: https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD List of countries by age structure (65+). Available at: https://data.worldbank.org/indicator/SP.POP.65UP.TO.ZS

    Authors

    • Diogo Silva, up201706892@fe.up.pt
  6. COVID-19 Trends in Each Country

    • data.amerigeoss.org
    esri rest, html
    Updated Jul 29, 2020
    + more versions
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    ESRI (2020). COVID-19 Trends in Each Country [Dataset]. https://data.amerigeoss.org/dataset/covid-19-trends-in-each-country
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    html, esri restAvailable download formats
    Dataset updated
    Jul 29, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description

    COVID-19 Trends Methodology
    Our goal is to analyze and present daily updates in the form of recent trends within countries, states, or counties during the COVID-19 global pandemic. The data we are analyzing is taken directly from the Johns Hopkins University Coronavirus COVID-19 Global Cases Dashboard, though we expect to be one day behind the dashboard’s live feeds to allow for quality assurance of the data.


    6/24/2020 - Expanded Case Rates discussion to include fix on 6/23 for calculating active cases.
    6/22/2020 - Added Executive Summary and Subsequent Outbreaks sections
    Revisions on 6/10/2020 based on updated CDC reporting. This affects the estimate of active cases by revising the average duration of cases with hospital stays downward from 30 days to 25 days. The result shifted 76 U.S. counties out of Epidemic to Spreading trend and no change for national level trends.
    Methodology update on 6/2/2020: This sets the length of the tail of new cases to 6 to a maximum of 14 days, rather than 21 days as determined by the last 1/3 of cases. This was done to align trends and criteria for them with U.S. CDC guidance. The impact is areas transition into Controlled trend sooner for not bearing the burden of new case 15-21 days earlier.
    Correction on 6/1/2020
    Discussion of our assertion of an abundance of caution in assigning trends in rural counties added 5/7/2020.
    Revisions added on 4/30/2020 are highlighted.
    Revisions added on 4/23/2020 are highlighted.

    Executive Summary
    COVID-19 Trends is a methodology for characterizing the current trend for places during the COVID-19 global pandemic. Each day we assign one of five trends: Emergent, Spreading, Epidemic, Controlled, or End Stage to geographic areas to geographic areas based on the number of new cases, the number of active cases, the total population, and an algorithm (described below) that contextualize the most recent fourteen days with the overall COVID-19 case history. Currently we analyze the countries of the world and the U.S. Counties.
    The purpose is to give policymakers, citizens, and analysts a fact-based data driven sense for the direction each place is currently going. When a place has the initial cases, they are assigned Emergent, and if that place controls the rate of new cases, they can move directly to Controlled, and even to End Stage in a short time. However, if the reporting or measures to curtail spread are not adequate and significant numbers of new cases continue, they are assigned to Spreading, and in cases where the spread is clearly uncontrolled, Epidemic trend.

    We analyze the data reported by Johns Hopkins University to produce the trends, and we report the rates of cases, spikes of new cases, the number of days since the last reported case, and number of deaths. We also make adjustments to the assignments based on population so rural areas are not assigned trends based solely on case rates, which can be quite high relative to local populations.

    Two key factors are not consistently known or available and should be taken into consideration with the assigned trend. First is the amount of resources, e.g., hospital beds, physicians, etc.that are currently available in each area. Second is the number of recoveries, which are often not tested or reported. On the latter, we provide a probable number of active cases based on CDC guidance for the typical duration of mild to severe cases.

    Reasons for undertaking this work in March of 2020:
    1. The popular online maps and dashboards show counts of confirmed cases, deaths, and recoveries by country or administrative sub-region. Comparing the counts of one country to another can only provide a basis for comparison during the initial stages of the outbreak when counts were low and the number of local outbreaks in each country was low. By late March 2020, countries with small populations were being left out of the mainstream news because it was not easy to recognize they had high per capita rates of cases (Switzerland, Luxembourg, Iceland, etc.). Additionally, comparing countries that have had confirmed COVID-19 cases for high numbers of days to countries where the outbreak occurred recently is also a poor basis for comparison.
    2. The graphs of confirmed cases and daily increases in cases were fit into a standard size rectangle, though the Y-axis for one country had a maximum value of 50, and for another country 100,000, which potentially misled people interpreting the slope of the curve. Such misleading circumstances affected comparing large population countries to small population counties or countries with low numbers of cases to China which had a large count of cases in the early part of the outbreak. These challenges for interpreting and comparing these graphs represent work each reader must do based on their experience and ability. Thus, we felt it would be a service to attempt to automate the thought process experts would use when visually analyzing these graphs, particularly the most recent tail of the graph, and provide readers with an a resulting synthesis to characterize the state of the pandemic in that country, state, or county.
    3. The lack of reliable data for confirmed recoveries and therefore active cases. Merely subtracting deaths from total cases to arrive at this figure progressively loses accuracy after two weeks. The reason is 81% of cases recover after experiencing mild symptoms in 10 to 14 days. Severe cases are 14% and last 15-30 days (based on average days with symptoms of 11 when admitted to hospital plus 12 days median stay, and plus of one week to include a full range of severely affected people who recover). Critical cases are 5% and last 31-56 days. Sources:
    • U.S. CDC. April 3, 2020 Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19). Accessed online.
    • Initial older guidance was also obtained online.
    Additionally, many people who recover may not be tested, and many who are, may not be tracked due to privacy laws.
    Thus, the formula used to compute an estimate of active cases is:

    Active Cases = 100% of new cases in past 14 days + 19% from past 15-25 days + 5% from past 26-49 days - total deaths.
    <br

  7. Weekly number of excess deaths in England and Wales 2020-2025

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Weekly number of excess deaths in England and Wales 2020-2025 [Dataset]. https://www.statista.com/statistics/1131428/excess-deaths-in-england-and-wales/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Jun 2025
    Area covered
    Wales, England
    Description

    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.

  8. Life expectancy at birth worldwide 1950-2100

    • statista.com
    • ai-chatbox.pro
    Updated Mar 26, 2025
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    Statista (2025). Life expectancy at birth worldwide 1950-2100 [Dataset]. https://www.statista.com/statistics/805060/life-expectancy-at-birth-worldwide/
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    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Global life expectancy at birth has risen significantly since the mid-1900s, from roughly 46 years in 1950 to 73.2 years in 2023. Post-COVID-19 projections There was a drop of 1.7 years during the COVID-19 pandemic, between 2019 and 2021, however, figures resumed upon their previous trajectory the following year due to the implementation of vaccination campaigns and the lower severity of later strains of the virus. By the end of the century it is believed that global life expectancy from birth will reach 82 years, although growth will slow in the coming decades as many of the more-populous Asian countries reach demographic maturity. However, there is still expected to be a wide gap between various regions at the end of the 2100s, with the Europe and North America expected to have life expectancies around 90 years, whereas Sub-Saharan Africa is predicted to be in the low-70s. The Great Leap Forward While a decrease of one year during the COVID-19 pandemic may appear insignificant, this is the largest decline in life expectancy since the "Great Leap Forward" in China in 1958, which caused global life expectancy to fall by almost four years between by 1960. The "Great Leap Forward" was a series of modernizing reforms, which sought to rapidly transition China's agrarian economy into an industrial economy, but mismanagement led to tens of millions of deaths through famine and disease.

  9. Death rate in the UK 1953-2021

    • statista.com
    • ai-chatbox.pro
    Updated Jun 30, 2025
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    Statista (2025). Death rate in the UK 1953-2021 [Dataset]. https://www.statista.com/statistics/281478/death-rate-united-kingdom-uk/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    Between 1953 and 2021, the death rate of the United Kingdom fluctuated between a high of 12.2 deaths per 1,000 people in 1962 and a low of 8.7 in 2011. From 2011 onwards, the death rate creeped up slightly and, in 2020, reached 10.3 deaths per 1,000 people. In 2021, the most recent year provided here, the death rate was ten, a decline from 2020 but still higher than in almost every year in the twenty-first century. The recent spike in the death rate corresponds to the emergence of the COVID-19 pandemic in the UK, with the first cases recorded in early 2020. Most deaths since 1918 in 2020 In 2020, there were 689,629 deaths in the United Kingdom, the highest in more than a century. Although there were fewer deaths in 2021, at 667,479, this was still far higher than in recent years. When looking at the weekly deaths in England and Wales for this time period, two periods stand out for reporting far more deaths than usual. The first period was between weeks 13 and 22 of 2020, which saw two weeks in late April report more than 20,000 deaths. Excess deaths for the week ending April 17, 2020, were 11,854, and 11,539 for the following week. Another wave of deaths occurred in January 2021, when there were more than 18,000 deaths per week between weeks three and five of that year. Improvements to life expectancy slowing Between 2020 and 2022, life expectancy in the United Kingdom was approximately 82.57 years for women and 78.57 years for men. Compared with life expectancy in 1980/82 this marked an increase of around six years for women and almost eight years for men. Despite these long-term developments, improvements to life expectancy have been slowing in recent years, and have declined since 2017/19. As of 2022, the country with the highest life expectancy in the World was Japan, which was 84.5 years, followed by South Korea, at 83.6 years.

  10. Weekly number of deaths in England and Wales 2020-2025

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Weekly number of deaths in England and Wales 2020-2025 [Dataset]. https://www.statista.com/statistics/1111804/weekly-deaths-in-england-and-wales/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Jun 2025
    Area covered
    Wales, England
    Description

    There were 10,075 deaths registered in England and Wales for the week ending June 27, 2025, compared with 10,411 in the previous week. During this time period, the two weeks with the highest number of weekly deaths were in April 2020, with the week ending April 17, 2020, having 22,351 deaths, and the following week 21,997 deaths, a direct result of the COVID-19 pandemic in the UK. Death and life expectancy As of 2022, the life expectancy for women in the UK was just over 82.5 years, and almost 78.6 years for men. Compared with 1765, when average life expectancy was under 39 years, this is a huge improvement in historical terms. Even in the more recent past, life expectancy was less than 47 years at the start of the 20th Century, and was under 70 as recently as the 1950s. Despite these significant developments in the long-term, improvements in life expectancy stalled between 2009/11 and 2015/17, and have even gone into decline since 2020. Between 2020 and 2022, for example, life expectancy at birth fell by 23 weeks for females, and 37 weeks for males. COVID-19 in the UK The first cases of COVID-19 in the United Kingdom were recorded on January 31, 2020, but it was not until a month later that cases began to rise exponentially. By March 5 of this year there were more than 100 cases, rising to 1,000 days later and passing 10,000 cumulative cases by March 26. At the height of the pandemic in late April and early May, there were around six thousand new cases being recorded daily. As of January 2023, there were more than 24.2 million confirmed cumulative cases of COVID-19 recorded in the United Kingdom, resulting in 202,156 deaths.

  11. Life expectancy in selected countries 2023

    • statista.com
    • ai-chatbox.pro
    Updated Apr 15, 2020
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    Statista (2020). Life expectancy in selected countries 2023 [Dataset]. https://www.statista.com/statistics/236583/global-life-expectancy-by-country/
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    Dataset updated
    Apr 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of 2023, the countries with the highest life expectancy included Switzerland, Japan, and Spain. As of that time, a new-born child in Switzerland could expect to live an average of **** years. Around the world, females consistently have a higher average life expectancy than males, with females in Europe expected to live an average of *** years longer than males on this continent. Increases in life expectancy The overall average life expectancy in OECD countries increased by **** years from 1970 to 2019. The countries that saw the largest increases included Turkey, India, and South Korea. The life expectancy at birth in Turkey increased an astonishing 24.4 years over this period. The countries with the lowest life expectancy worldwide as of 2022 were Chad, Lesotho, and Nigeria, where a newborn could be expected to live an average of ** years. Life expectancy in the U.S. The life expectancy in the United States was ***** years as of 2023. Shockingly, the life expectancy in the United States has decreased in recent years, while it continues to increase in other similarly developed countries. The COVID-19 pandemic and increasing rates of suicide and drug overdose deaths from the opioid epidemic have been cited as reasons for this decrease.

  12. Countries with the lowest life expectancy 2022

    • statista.com
    Updated Sep 1, 2022
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    John Elflein (2022). Countries with the lowest life expectancy 2022 [Dataset]. https://www.statista.com/study/116546/global-demographics/
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    Dataset updated
    Sep 1, 2022
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    John Elflein
    Description

    The countries with the lowest life expectancy worldwide include the Chad, Lesotho, and Nigeria. As of 2022, people born in Chad could be expected to live only up to 53 years. This is almost 20 years shorter than the global life expectancy. Life expectancy The global life expectancy has gradually increased over the past couple decades, rising from 70.53 years in 2011 to 72.79 years in 2019. However, the years 2020 and 2021 saw a decrease in global life expectancy due to the COVID-19 pandemic. Furthermore, life expectancy can vary greatly depending on the country and region. For example, all the top 20 countries with the lowest life expectancy worldwide are in Africa. The countries with the highest life expectancy include Liechtenstein, Japan, and Switzerland. Causes of death The countries with the lowest life expectancy worldwide are all low-income or developing countries that lack health care access and treatment that more developed countries can provide. The leading causes of death in these countries therefore differ from those of middle-income and upper-income countries. The leading causes of death in low-income countries include diseases such as HIV/AIDS and malaria, as well as preterm birth complications, which do not cause substantial death in higher income countries.

  13. m

    Data from: Ranking Age-at-Death Distributions using Dominance: Robust...

    • data.mendeley.com
    Updated Jan 24, 2024
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    Jawa Issa (2024). Ranking Age-at-Death Distributions using Dominance: Robust Evaluation of United States Mortality Trends, 2006–2021 [Dataset]. http://doi.org/10.17632/jh8hbk5bg9.1
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    Dataset updated
    Jan 24, 2024
    Authors
    Jawa Issa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Do file and dataset for dominance analysis on US age at death distributions (data sourced from CDC life tables).

    Abstract: Diverging mortality trends at different ages motivate the monitoring of lifespan inequality alongside life expectancy. Conclusions are ambiguous when life expectancy and lifespan inequality move in the same direction or when inequality measures display inconsistent trends. We propose using non-parametric dominance analysis to obtain a robust ranking of age-at-death distributions. Application to United States period life tables for 2006-2021 reveals that, until 2014, more recent years generally dominate earlier years implying improvement if longer lifespans that are less unequally distributed are considered better. Improvements were more pronounced for non-Hispanic Blacks and Hispanics than for non-Hispanic Whites. Since 2014, for all subpopulations—particularly, Hispanics—earlier years often dominate more recent years indicating worsening age-at-death distributions if shorter and more unequal lifespans are considered worse. Dramatic deterioration of the distributions in 2020-21 during the COVID-19 pandemic is most evident for Hispanics.

  14. Life expectancy at birth in Russia 1990-2022, by area

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Life expectancy at birth in Russia 1990-2022, by area [Dataset]. https://www.statista.com/statistics/1090507/life-expectancy-at-birth-in-russia-by-area/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    In 2022, life expectancy at birth for urban residents in Russia was 73.09 years. For those living in rural areas, it was approximately 71.6 years on average. Both urban and rural populations' average life span figures increased from the previous year. In total, Russians born in 2022 were expected to live roughly 72.7 years. Russia’s life expectancy is lower than in most other European countries and the United States. The Russian government set a national goal to achieve a life expectancy of 78 years by 2030. Change factors As in many other countries, life expectancy in Russia saw a decline in 2020 as a result of the coronavirus (COVID-19) pandemic and an increase in deaths from the disease. Even though the figure has increased since 2022 and exceeded pre-pandemic levels in 2023, the war in Ukraine and mobilization affect the indicator negatively. That particularly holds for men’s life expectancy, which has historically been significantly lower than women’s. Historical development In 2023, life expectancy in Russia was almost 44 years higher than in 1845. Over that period, the indicators experienced a decline during the World Wars, the Russian Revolution of 1917, and a series of famines in the mid-1900s. Moreover, the indicator decreased between 1970 and 1985, in part due to male life expectancy being impacted by alcohol consumption. The 2023 figure was the highest in Russia and the Soviet Union’s history.

  15. Number of deaths in China 2001-2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of deaths in China 2001-2024 [Dataset]. https://www.statista.com/statistics/1098319/china-number-of-deaths/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    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.

  16. Life expectancy at 65 years in Italy 2024, by region

    • statista.com
    • ai-chatbox.pro
    Updated Apr 16, 2025
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    Statista (2025). Life expectancy at 65 years in Italy 2024, by region [Dataset]. https://www.statista.com/statistics/569085/life-expectancy-at-sixty-five-in-italy-by-region/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Italy
    Description

    In 2024, Trentino-South Tyrol recorded the highest life expectancy in Italy for both women and men at 65 years old. Veneto followed in the ranking with the second-highest life expectancy at 65 years. In 2020, life expectancy in Italy decreased dramatically due to the COVID-19 pandemic, which caused the largest number of deaths recorded in decades.

  17. Deaths in Sweden 2021-2022, by cause

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2024
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    Statista (2024). Deaths in Sweden 2021-2022, by cause [Dataset]. https://www.statista.com/statistics/528942/sweden-number-of-deaths-by-cause-of-death/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Sweden
    Description

    In 2022, the most common cause of death in Sweden was diseases of the circulatory system. More than 28,000 people died because of these diseases. Cancer was the second most common cause of death in Sweden. Furthermore, diseases of the respiratory system caused over 6,000 deaths in Sweden in 2022.

    Ischemic heart disease most common cause

    Chronic ischemic heart disease is the circulation system disease that causes the most number of deaths. When ischemic heart disease occurs, the arteries of the heart are blocked and the blood flow to the heart muscle is reduced. Heart attacks caused the second most deaths of the circulatory system diseases.

     COVID-19

    From 2019 to 2020, the total number of deaths in Sweden increased by around 10,000, almost reaching 100,000 in total. This can be explained by the more than 9,400 deaths caused by the coronavirus (COVID-19). At the beginning of the pandemic, the Swedish government tried a different approach than most other European countries, avoiding strict lockdowns and regulations. However, it has recorded a higher number of deaths and cases than the other Nordic countries. As of January 2023, nearly 23,000 people had died of COVID-19 in Sweden.

  18. Funeral Directors, Crematoria and Cemeteries in Australia - Market Research...

    • ibisworld.com
    Updated Aug 30, 2023
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    IBISWorld (2023). Funeral Directors, Crematoria and Cemeteries in Australia - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/au/industry/funeral-directors-crematoria-cemeteries/675/
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    Dataset updated
    Aug 30, 2023
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Australia
    Description

    The Funeral Directors, Crematoria and Cemeteries industry’s performance strongly depends on the number of deaths in Australia each year. For decades, medical advances, higher living standards and improved attitudes to health have helped lift the average life expectancy, slowing growth in the death rate. Government restrictions on funeral sizes from the fourth quarter of 2019-20 through part of 2021-22 lowered the average spend per funeral, leading to industry revenue declines over the two years through 2020-21. The COVID-19 pandemic caused the deaths of approximately 15,000 Australians between March 2020 and September 2022, but this represented a moderate proportion of total deaths in Australia, limiting its impact on revenue. Meanwhile, cremations’ increasing popularity has hindered revenue growth, as cremations typically generate less revenue per service. Major companies like InvoCare have reported they struggled over the two years through 2023-24 as consumers tried to cut back their spending amid high inflation and interest rates. The ACCC has also targeted the industry for increased enforcement, and combined, these factors have contributed to a dilution of the industry’s pricing power, limiting margin growth since 2021-22. Overall, industry revenue is expected to increase at an annualised 3.1% over the five years through 2024-25 to $2.0 billion. This trend includes an anticipated 4.2% spike in 2024-25. Most funeral directors are small, family-owned businesses. Funeral directors charge a professional services fee for conducting and managing core funeral services, like collecting and preparing the body for viewing, running the ceremony and transporting the body to the burial site or crematorium. Although governments or not-for-profit trusts own most cemeteries and crematoria, private companies increasingly own and operate these facilities. InvoCare is the largest company, accounting for more than one-quarter of industry revenue in 2024-25. The company was acquired by TPG Capital and delisted in November 2023. The market for funeral services will continue to expand over the coming years. A steady rise in annual deaths, an expanding population and recovering economic conditions will propel industry revenue growth. Even so, more families will choose lower priced cremation services over traditional burial services, limiting the pace of expansion and growth in margins. Industry revenue is forecast to climb at an annualised 4.8% over the five years through 2029-30 to $2.5 billion.

  19. Weekly deaths in Poland 2019-2024

    • statista.com
    Updated Jun 17, 2025
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    Statista (2025). Weekly deaths in Poland 2019-2024 [Dataset]. https://www.statista.com/statistics/1188460/poland-weekly-deaths/
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    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    Deaths per week in Poland fluctuated strongly between 2019 and 2024. Nevertheless, the number of deaths in 2024 has generally fallen compared to previous years. To give an illustration: In the 52nd week of the calendar in 2024, 402 fewer people died compared to the same period in 2023. The most deaths in the observation period were recorded in the 45th calendar week of 2020, with 16,242. Diseases and their consequences The main reason for the sharp rise in deaths in 2020 was probably the outbreak of the Covid-19 pandemic. By March 2023, almost 3,000 per one million people in Poland had died as a result of the virus. Although this is comparatively low compared to other CEE countries, the peak phase strongly influences the weekly death figures. Bulgaria was hit particularly heavily among the CEE countries in terms of deaths. Another factor can be various disease patterns in Poland. In May 2022, although 32 percent of diagnosed diseases were Covid-19, 29 percent were hypertension. Death rate in comparison In absolute figures, however, 2021 is the year with the most deaths in the observation period, with 519,500 deaths. In comparison, Hungary only had 155,620 deaths in the same period. Despite this, the average age in Poland has been rising for decades and will continue to do so in the coming decades. It is, therefore, interesting to note that while the death rate fluctuates, life expectancy is rising continuously.

  20. Life expectancy at birth in Italy 2002-2024, by gender

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Life expectancy at birth in Italy 2002-2024, by gender [Dataset]. https://www.statista.com/statistics/568929/life-expectancy-at-birth-by-gender-in-italy/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    Between 2002 and 2019, life expectancy at birth for both males and females in Italy constantly increased. It decreased in 2020 and reached **** years for males and **** years for females. After the COVID-19 pandemic, expecting living years settled to **** for men and **** for women.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). Life Expectancy - Women at the age of 65 years in the U.S. 2001-2021 [Dataset]. https://www.statista.com/statistics/266656/us-female-life-expectancy-at-the-age-of-65-years-since-1960/
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Life Expectancy - Women at the age of 65 years in the U.S. 2001-2021

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Dataset updated
Jul 19, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2021, a woman in the United States aged 65 years could expect to live another 19.7 years on average. This number decreased in the years 2020 and 2021, after reaching a high of 20.8 years in 2019. Nevertheless, the life expectancy of a woman aged 65 years in the United States is still higher than that of a man of that age. In 2021, a man aged 65 years could be expected to live another 17 years on average.

Why has the life expectancy in the U.S. declined? Overall, life expectancy in the United States has declined in recent years. In 2019, the life expectancy for U.S. women was 81.4 years, but by 2021 it had decreased to 79.3 years. Likewise, the life expectancy for men decreased from 76.3 years to 73.5 years in the same period. The biggest contributors to this decline in life expectancy are the COVID-19 pandemic and the opioid epidemic. Although deaths from the COVID-19 pandemic have decreased significantly since 2022, deaths from opioid overdose continue to increase, reaching all-time highs in 2021.

The leading causes of death among U.S. women The leading causes of death among women in the United States in 2020 were heart disease, cancer, and COVID-19. That year heart disease and cancer accounted for a combined 37 percent of all deaths among women, while around 10 percent of deaths were due to COVID-19. The overall leading causes of death in the United States generally reflect the leading causes among women with some slight variations. For example, Alzheimer’s disease is the fourth leading cause of death among women, but the seventh leading cause of death overall in the United States.

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