38 datasets found
  1. Hospital at home mortality rates compared with brick-and-mortar hospitals...

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Hospital at home mortality rates compared with brick-and-mortar hospitals U.S. 2024 [Dataset]. https://www.statista.com/statistics/1619344/hospital-at-home-mortality-rate-comparison-us/
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2022 - Jan 2024
    Area covered
    United States
    Description

    In the United States from 2022 to 2024, the 30-day mortality rate in hospital at home programs for patients with respiratory infections and inflammations with MCC was around ** deaths per 1,000. In comparison, the mortality rate in comparable hospitals for the same diagnosis related groups was almost *** deaths per 1,000.

  2. Forecast: Total Infant Mortality Rates in the US 2024 - 2028

    • reportlinker.com
    Updated Apr 12, 2024
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    ReportLinker (2024). Forecast: Total Infant Mortality Rates in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/d5306cffa2ddae1387add608f79fc2e8bdb15595
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    Dataset updated
    Apr 12, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

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

    Area covered
    United States
    Description

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

  3. Life expectancy by continent and gender 2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Life expectancy by continent and gender 2024 [Dataset]. https://www.statista.com/statistics/270861/life-expectancy-by-continent/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, the average life expectancy in the world was 71 years for men and 76 years for women. The lowest life expectancies were found in Africa, while Oceania and Europe had the highest. What is life expectancy?Life expectancy is defined as a statistical measure of how long a person may live, based on demographic factors such as gender, current age, and most importantly the year of their birth. The most commonly used measure of life expectancy is life expectancy at birth or at age zero. The calculation is based on the assumption that mortality rates at each age were to remain constant in the future. Life expectancy has changed drastically over time, especially during the past 200 years. In the early 20th century, the average life expectancy at birth in the developed world stood at 31 years. It has grown to an average of 70 and 75 years for males and females respectively, and is expected to keep on growing with advances in medical treatment and living standards continuing. Highest and lowest life expectancy worldwide Life expectancy still varies greatly between different regions and countries of the world. The biggest impact on life expectancy is the quality of public health, medical care, and diet. As of 2022, the countries with the highest life expectancy were Japan, Liechtenstein, Switzerland, and Australia, all at 84–83 years. Most of the countries with the lowest life expectancy are mostly African countries. The ranking was led by the Chad, Nigeria, and Lesotho with 53–54 years.

  4. United States US: Probability of Dying at Age 20-24 Years: per 1000

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). United States US: Probability of Dying at Age 20-24 Years: per 1000 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-probability-of-dying-at-age-2024-years-per-1000
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    United States
    Description

    United States US: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 5.100 Ratio in 2019. This records an increase from the previous number of 5.000 Ratio for 2018. United States US: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 4.800 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5.500 Ratio in 1991 and a record low of 4.200 Ratio in 2013. United States US: Probability of Dying at Age 20-24 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

  5. M

    Life Expectancy Statistics 2025 By Health Progress

    • media.market.us
    Updated Jan 14, 2025
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    Market.us Media (2025). Life Expectancy Statistics 2025 By Health Progress [Dataset]. https://media.market.us/life-expectancy-statistics/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Market.us Media
    License

    https://media.market.us/privacy-policyhttps://media.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Description

    Introduction

    Life Expectancy Statistics: Life expectancy is the average number of years a person is expected to live based on current mortality rates in a specific population.

    It is influenced by healthcare quality, lifestyle choices, economic conditions, genetics, environmental factors, and social determinants like education and public health policies.

    Typically measured as life expectancy at birth, it reflects the average lifespan of a newborn. However, it can also be assessed for older ages, such as 65, to predict additional years of life.

    https://media.market.us/wp-content/uploads/2024/12/life-expectancy-statistics.png" alt="Life Expectancy Statistics" class="wp-image-27483">

  6. Weekly all-cause mortality surveillance: 2023 to 2024

    • gov.uk
    Updated Jul 18, 2024
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    UK Health Security Agency (2024). Weekly all-cause mortality surveillance: 2023 to 2024 [Dataset]. https://www.gov.uk/government/statistics/weekly-all-cause-mortality-surveillance-2023-to-2024
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    Dataset updated
    Jul 18, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    The UK Health Security Agency (UKHSA) weekly all-cause mortality surveillance helps to detect and report significant weekly excess mortality (deaths) above normal seasonal levels. This report doesn’t assess general trends in death rates or link excess death figures to particular factors.

    Excess mortality is defined as a significant number of deaths reported over that expected for a given week in the year, allowing for weekly variation in the number of deaths. UKHSA investigates any spikes seen which may inform public health actions.

    Reports are currently published weekly. In previous years, reports ran from October to September. From 2021 to 2022, reports will run from mid-July to mid-July each year. This change is to align with the reports for the national flu and COVID-19 weekly surveillance report.

    This page includes reports published from 13 July 2023 to the present.

    Reports are also available for:

    Please direct any enquiries to enquiries@ukhsa.gov.uk

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk" class="govuk-link">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

  7. Death rates for all causes in the U.S. 1950-2023

    • statista.com
    Updated Mar 12, 2025
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    Statista (2025). Death rates for all causes in the U.S. 1950-2023 [Dataset]. https://www.statista.com/statistics/189670/death-rates-for-all-causes-in-the-us-since-1950/
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    Dataset updated
    Mar 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, there were approximately 750.5 deaths by all causes per 100,000 inhabitants in the United States. This statistic shows the death rate for all causes in the United States between 1950 and 2023. Causes of death in the U.S. Over the past decades, chronic conditions and non-communicable diseases have come to the forefront of health concerns and have contributed to major causes of death all over the globe. In 2022, the leading cause of death in the U.S. was heart disease, followed by cancer. However, the death rates for both heart disease and cancer have decreased in the U.S. over the past two decades. On the other hand, the number of deaths due to Alzheimer’s disease – which is strongly linked to cardiovascular disease- has increased by almost 141 percent between 2000 and 2021. Risk and lifestyle factors Lifestyle factors play a major role in cardiovascular health and the development of various diseases and conditions. Modifiable lifestyle factors that are known to reduce risk of both cancer and cardiovascular disease among people of all ages include smoking cessation, maintaining a healthy diet, and exercising regularly. An estimated two million new cases of cancer in the U.S. are expected in 2025.

  8. c

    Number of Flu Deaths in U.S. Each Year (2010-2024*)

    • consumershield.com
    csv
    Updated Apr 15, 2025
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    ConsumerShield Research Team (2025). Number of Flu Deaths in U.S. Each Year (2010-2024*) [Dataset]. https://www.consumershield.com/articles/flu-deaths-each-year
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    csvAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    License

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

    Area covered
    United States of America
    Description

    The graph illustrates the number of flu-related deaths in the United States for each flu season from 2010-2011 to 2023-2024*. The x-axis represents the flu seasons, labeled from '10-11 to '23*-24*, while the y-axis shows the annual number of flu deaths. Throughout this period, flu deaths vary significantly, ranging from a low of 4,900 in the 2021-2022* season to a high of 51,000 in both the 2014-2015 and 2017-2018 seasons. Other notable figures include 36,000 deaths in 2010-2011, 42,000 in 2012-2013, and a recent increase to 28,000 in the 2023*-2024* season. The data exhibits considerable fluctuations with no consistent upward or downward trend, highlighting the variability in flu mortality rates over the years. This information is presented in a line graph format, effectively showcasing the yearly changes and peaks in flu-related deaths across the United States.

    *Data for the 2021-2022 and 2022-2023 seasons are estimated.

  9. Mortality rate for influenza in the U.S. in 2023-2024, by age group

    • statista.com
    Updated Apr 14, 2025
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    Statista (2025). Mortality rate for influenza in the U.S. in 2023-2024, by age group [Dataset]. https://www.statista.com/statistics/1127799/influenza-us-mortality-rate-by-age-group/
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    Dataset updated
    Apr 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023 - 2024
    Area covered
    United States
    Description

    The mortality rate from influenza in the United States is by far highest among those aged 65 years and older. During the 2023-2024 flu season, the mortality rate from influenza for this age group was around 32.1 per 100,000 population. The burden of influenza The impact of influenza in the U.S. varies from season to season, but in the 2023-2024 flu season, there were an estimated 40 million cases. These cases resulted in around 470,000 hospitalizations. Although most people recover from influenza without requiring medical treatment, the disease can be deadly for young children, the elderly, and those with weakened immune systems or chronic illnesses. During the 2023-2024 flu season, around 28,000 people in the U.S. lost their lives due to influenza. Impact of vaccinations The most effective way to prevent influenza is to receive an annual vaccination at the beginning of flu season. Flu vaccines are safe and can greatly reduce the burden of the disease. During the 2022-2023 flu season, vaccinations prevented around 2,479 deaths among those aged 65 years and older. Although flu vaccines are usually cheap and easily accessible, every year a large share of the population in the U.S. still does not get vaccinated. For example, during the 2022-2023 flu season, only about 35 percent of those aged 18 to 49 years received a flu vaccination.

  10. States' COVID-19 Mitigation Policies and Psychological Health, Drug...

    • icpsr.umich.edu
    Updated May 29, 2025
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    Monnat, Shannon M.; Montez, Jennifer Karas (2025). States' COVID-19 Mitigation Policies and Psychological Health, Drug Overdose, and Suicide Among United States Adults, 2018-2021 [Dataset]. http://doi.org/10.3886/ICPSR39348.v1
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    Dataset updated
    May 29, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Monnat, Shannon M.; Montez, Jennifer Karas
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/39348/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/39348/terms

    Time period covered
    2018 - 2021
    Area covered
    United States
    Description

    This study's objective is to assess how state-level COVID-19 mitigation policies have affected psychological health and related mortality from drug overdose and suicide among working age and older adults. Research to date has investigated how state-level COVID-19 policies in the United States--specifically those limiting in-person activities (e.g., stay-at-home orders, school closures) and those providing economic support (e.g., direct cash payments, eviction moratoria)--were associated with drug overdose mortality rates among U.S. working-age adults (25-64 years) during 2020 (Wolf et al., 2024). Research has also identified shifts in the predictive importance of key contextual variables--including socioeconomic conditions, racial-ethnic composition, population health profiles, and physician supply--for all-cause mortality, drug poisoning, and COVID-19-related deaths (Montez et al., 2024). The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.

  11. H

    Replication Data for Prayer, Politics, and Policy Related to Age-Adjusted...

    • dataverse.harvard.edu
    Updated Dec 27, 2024
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    Leon Robertson (2024). Replication Data for Prayer, Politics, and Policy Related to Age-Adjusted Cancer, Heart Disease, Infant Mortality and COVID-19 Death Rates, U.S. States 2018-2021 [Dataset]. http://doi.org/10.7910/DVN/SUDI5Y
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 27, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Leon Robertson
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Prayer, Politics, and Policy Related to Age-Adjusted Cancer, Heart Disease, Infant Mortality and COVID-19 Death Rates, U.S. States 2018-2021 Daily Prayer Lipka and Wormald, 2016, Pew Research Center Trump Vote 2016 CNN, 2016 Median family Income/cost of living Moneyrates.com, 2019. Income Inequality (Gini) U.S. Census Bureau, 2019 Physicians Per population National Center for Health Statistics, 2019. Percent Urban U.S. Census Bureau, 2024 Unemployment U.S Bureau of Labor Statistics, 2016 Public Health Expenditures Per Population National Association of County and City Health Officials, 2019. Age-adjusted Mortality Rates National Institute of Minority Health and Health Disparities, 2018-2021 Infant Mortality Rate National Center for Health Statistics, 2018-2019 Influenza immunizations and fruit consumption Centers for Disease Control Behavioral Risk Factor Surveillance System, 2024

  12. Countries with the lowest infant mortality rate 2024

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Countries with the lowest infant mortality rate 2024 [Dataset]. https://www.statista.com/statistics/264717/countries-with-the-lowest-infant-mortality-rate/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    This statistic shows the 20 countries * with the lowest infant mortality rate in 2024. An estimated 1.5 out of 1,000 live births died in the first year of life in Slovenia and Singapore in 2024. Infant mortality Infant mortality rates are often used as an indicator of the health and well-being of a nation. Monaco, Iceland, and Japan are among the top three countries with the lowest infant mortality rates with around 2 infant deaths per 1,000 infants within their first year of life. Generally, the countries with the lowest infant mortality also have some of the highest average life expectancy figures. Additionally, the countries with the highest density of physicians and doctors also generally report low infant mortality. Yet, many different factors contribute to differing rates, including the overall income of a country, health spending per capita, a mother’s level of education, environmental conditions, and medical infrastructure, to name a few. This creates a lot of variation concerning the level of childbirth and infant care around the world. The countries with the highest rates of infant mortality include Afghanistan, Mali, and Somalia. These countries experience around 100 infant deaths per 1,000 infants in their first year of life. While the reasons for high rates of infant mortality are numerous, the leading causes of death for children under the year five around the world are Pneumonia, Diarrhea, and Prematurity.

  13. U.S. - Infant mortality rate 1960-2022

    • statista.com
    Updated Oct 18, 2024
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    Statista (2024). U.S. - Infant mortality rate 1960-2022 [Dataset]. https://www.statista.com/statistics/195950/infant-mortality-rate-in-the-united-states-since-1990/
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    Dataset updated
    Oct 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the infant mortality rate in the United States was 5.4 out of every 1,000 live births. This is a significant decrease from 1960, when infant mortality was at around 26 deaths out of every 1,000 live births. What is infant mortality? The infant mortality rate is the number of deaths of babies under the age of one per 1,000 live births. There are many causes for infant mortality, which include birth defects, low birth weight, pregnancy complications, and sudden infant death syndrome. In order to decrease the high rates of infant mortality, there needs to be an increase in education and medicine so babies and mothers can receive the proper treatment needed. Maternal mortality is also related to infant mortality. If mothers can attend more prenatal visits and have more access to healthcare facilities, maternal mortality can decrease, and babies have a better chance of surviving in their first year. Worldwide infant mortality rates Infant mortality rates vary worldwide; however, some areas are more affected than others. Afghanistan suffered from the highest infant mortality rate in 2024, and the following 19 countries all came from Africa, with the exception of Pakistan. On the other hand, Slovenia had the lowest infant mortality rate that year. High infant mortality rates can be attributed to lack of sanitation, technological advancements, and proper natal care. In the United States, Massachusetts had the lowest infant mortality rate, while Mississippi had the highest in 2022. Overall, the number of neonatal and post neonatal deaths in the United States has been steadily decreasing since 1995.

  14. Countries with the highest infant mortality rate 2024

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Countries with the highest infant mortality rate 2024 [Dataset]. https://www.statista.com/statistics/264714/countries-with-the-highest-infant-mortality-rate/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    This statistic shows the 20 countries* with the highest infant mortality rate in 2024. An estimated 101.3 infants per 1,000 live births died in the first year of life in Afghanistan in 2024. Infant and child mortality Infant mortality usually refers to the death of children younger than one year. Child mortality, which is often used synonymously with infant mortality, is the death of children younger than five. Among the main causes are pneumonia, diarrhea – which causes dehydration – and infections in newborns, with malnutrition also posing a severe problem. As can be seen above, most countries with a high infant mortality rate are developing countries or emerging countries, most of which are located in Africa. Good health care and hygiene are crucial in reducing child mortality; among the countries with the lowest infant mortality rate are exclusively developed countries, whose inhabitants usually have access to clean water and comprehensive health care. Access to vaccinations, antibiotics and a balanced nutrition also help reducing child mortality in these regions. In some countries, infants are killed if they turn out to be of a certain gender. India, for example, is known as a country where a lot of girls are aborted or killed right after birth, as they are considered to be too expensive for poorer families, who traditionally have to pay a costly dowry on the girl’s wedding day. Interestingly, the global mortality rate among boys is higher than that for girls, which could be due to the fact that more male infants are actually born than female ones. Other theories include a stronger immune system in girls, or more premature births among boys.

  15. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    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.

  16. Life expectancy at various ages, by population group and sex, Canada

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Dec 17, 2015
    + more versions
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    Government of Canada, Statistics Canada (2015). Life expectancy at various ages, by population group and sex, Canada [Dataset]. http://doi.org/10.25318/1310013401-eng
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    Dataset updated
    Dec 17, 2015
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).

  17. Annual life expectancy in the United States 1850-2100

    • statista.com
    Updated Jul 31, 2025
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    Statista (2025). Annual life expectancy in the United States 1850-2100 [Dataset]. https://www.statista.com/statistics/1040079/life-expectancy-united-states-all-time/
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    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    From the mid-19th century until today, life expectancy at birth in the United States has roughly doubled, from 39.4 years in 1850 to 79.6 years in 2025. It is estimated that life expectancy in the U.S. began its upward trajectory in the 1880s, largely driven by the decline in infant and child mortality through factors such as vaccination programs, antibiotics, and other healthcare advancements. Improved food security and access to clean water, as well as general increases in living standards (such as better housing, education, and increased safety) also contributed to a rise in life expectancy across all age brackets. There were notable dips in life expectancy; with an eight year drop during the American Civil War in the 1860s, a seven year drop during the Spanish Flu empidemic in 1918, and a 2.5 year drop during the Covid-19 pandemic. There were also notable plateaus (and minor decreases) not due to major historical events, such as that of the 2010s, which has been attributed to a combination of factors such as unhealthy lifestyles, poor access to healthcare, poverty, and increased suicide rates, among others. However, despite the rate of progress slowing since the 1950s, most decades do see a general increase in the long term, and current UN projections predict that life expectancy at birth in the U.S. will increase by another nine years before the end of the century.

  18. Statewide Death Profiles

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    csv, zip
    Updated Jul 28, 2025
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    California Department of Public Health (2025). Statewide Death Profiles [Dataset]. https://data.chhs.ca.gov/dataset/statewide-death-profiles
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    csv(4689434), csv(16301), csv(5034), csv(463460), csv(2026589), csv(5401561), csv(164006), csv(200270), csv(419332), zip, csv(385695)Available download formats
    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    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.

  19. COVID-19 death rates in the United States as of March 10, 2023, by state

    • statista.com
    Updated May 15, 2024
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    Statista (2024). COVID-19 death rates in the United States as of March 10, 2023, by state [Dataset]. https://www.statista.com/statistics/1109011/coronavirus-covid19-death-rates-us-by-state/
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    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 10, 2023, the death rate from COVID-19 in the state of New York was 397 per 100,000 people. New York is one of the states with the highest number of COVID-19 cases.

  20. f

    Literature search results and extracted data.

    • plos.figshare.com
    xlsx
    Updated May 5, 2025
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    Meysam Olfatifar; Mohsen Rajabnia; Amir Sadeghi; Amirhassan Rabbani; Shabnam Shahrokh; Mohammad Amin Habibi; MehdiSure Pezeshgi Modarres; Mohammad Reza Zali; Hamidreza Houri (2025). Literature search results and extracted data. [Dataset]. http://doi.org/10.1371/journal.pone.0322479.s001
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    xlsxAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Meysam Olfatifar; Mohsen Rajabnia; Amir Sadeghi; Amirhassan Rabbani; Shabnam Shahrokh; Mohammad Amin Habibi; MehdiSure Pezeshgi Modarres; Mohammad Reza Zali; Hamidreza Houri
    License

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

    Description

    Background and AimsPrimary sclerosing cholangitis (PSC) exhibits varying incidence and prevalence rates across different regions; however, comprehensive global studies examining its geographic distribution and future trends are scarce. This study presents an updated meta-analysis through 2024 and projects the global and regional prevalence of PSC from 2024 to 2040 using an illness-death multi-state model.MethodsWe conducted a thorough systematic search across multiple databases to identify all primary studies published until 2024 that reported on the incidence, prevalence, and mortality rates of PSC in various regions. Using the gathered data, we developed an illness-death model to forecast the future prevalence of PSC, covering the years 2024–2040.ResultsOur meta-analysis revealed that the global pooled incidence and prevalence rates of PSC are 0.65 and 7.52 per 100,000 persons, respectively. Projections indicate that the global prevalence of PSC will rise to 22.98 cases per 100,000 (95% CI: 21.0–24.95), corresponding to an overall increase of 28.3%. Specifically, North America is forecasted to experience a 5.45% increase in PSC cases, reaching 24.76 cases per 100,000 (95% CI: 19.63–29.88), while Western Europe is anticipated to see a more pronounced rise of 28.79%, resulting in a prevalence of 21.48 cases per 100,000 (95% CI: 18.3–24.65) by 2040.ConclusionsOur findings indicate a substantial rise in the number of individuals affected by PSC in recent years and estimate a significant future burden of the disease.

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Statista (2025). Hospital at home mortality rates compared with brick-and-mortar hospitals U.S. 2024 [Dataset]. https://www.statista.com/statistics/1619344/hospital-at-home-mortality-rate-comparison-us/
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Hospital at home mortality rates compared with brick-and-mortar hospitals U.S. 2024

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Dataset updated
Jul 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 2022 - Jan 2024
Area covered
United States
Description

In the United States from 2022 to 2024, the 30-day mortality rate in hospital at home programs for patients with respiratory infections and inflammations with MCC was around ** deaths per 1,000. In comparison, the mortality rate in comparable hospitals for the same diagnosis related groups was almost *** deaths per 1,000.

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