24 datasets found
  1. Mortality rates from preventable causes in 2021, by country

    • statista.com
    Updated Oct 9, 2024
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    Statista (2024). Mortality rates from preventable causes in 2021, by country [Dataset]. https://www.statista.com/statistics/1286558/mortality-rates-from-preventable-causes-oecd-countries-by-country/
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    Dataset updated
    Oct 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In 2021, the average mortality rate across OECD countries from preventable causes stood at 158 deaths per 100,000 population. This varied widely from just 83 deaths in Israel to 435 preventable deaths in Mexico per 100,000 population. The OECD defines preventable mortality as causes of death amongst people aged under 75 years that can be mainly avoided through effective public health and primary prevention interventions (i.e. before the onset of disease/injury, to reduce incidence). Treatable (or amenable mortality is defined as causes of death that can be mainly avoided through timely and effective health care interventions including secondary prevention and treatment (i.e. after the onset of disease, to reduce case fatality). This statistic presents the mortality rates from preventable causes worldwide in 2021, by country.

  2. 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.

  3. Heart disease death rates in the United States in 2022, by state

    • ai-chatbox.pro
    • statista.com
    Updated May 31, 2025
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    John Elflein (2025). Heart disease death rates in the United States in 2022, by state [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F11575%2Fobesity-and-overweight-statista-dossier%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 31, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    John Elflein
    Area covered
    United States
    Description

    In 2022, the states with the highest death rates due to heart disease were Oklahoma, Mississippi, and Alabama. That year, there were around 257 deaths due to heart disease per 100,000 population in the state of Oklahoma. In comparison, the overall death rate from heart disease in the United States was 167 per 100,000 population. The leading cause of death in the United States Heart disease is the leading cause of death in the United States, accounting for 21 percent of all deaths in 2022. That year, cancer was the second leading cause of death, followed by unintentional injuries and COVID-19. In the United States, a person has a one in six chance of dying from heart disease. Death rates for heart disease are higher among men than women, but both have seen steady decreases in heart disease death rates since the 1950s. What are risk factors for heart disease? Although heart disease is the leading cause of death in the United States, the risk of heart disease can be decreased by avoiding known risk factors. Some of the leading preventable risk factors for heart disease include smoking, heavy alcohol use, physical inactivity, an unhealthy diet, and being overweight or obese. It is no surprise that the states with the highest rates of death from heart disease are also the states with the highest rates of heart disease risk factors. For example, Oklahoma, the state with the highest heart disease death rate, is also the state with the third-highest rate of obesity. Furthermore, Mississippi is the state with the highest levels of physical inactivity, and it has the second-highest heart disease death rate in the United States.

  4. Death rate in the U.S. and Soviet Union 1970-1988, per cause of death

    • statista.com
    Updated Aug 1, 1991
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    Statista (1991). Death rate in the U.S. and Soviet Union 1970-1988, per cause of death [Dataset]. https://www.statista.com/statistics/1248647/us-ussr-death-rate-by-cause-cold-war/
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    Dataset updated
    Aug 1, 1991
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1970 - 1988
    Area covered
    United States
    Description

    Between 1970 and 1988, major cardiovascular diseases were the most common cause of death in both the United States and Soviet Union. However, the death rate in the U.S. fell between the given years, whereas the USSR's rate increased significantly, especially during the 1970s. Malignancies (i.e. cancers) were the second most common cause of death, with both death rates rising over time. Other causes that that varied greatly between the two countries were accidents and adverse effects, where the USSR's rate was almost double that of the U.S. in 1980; pulmonary diseases, where the U.S. rate was higher in 1988 despite having been four times lower in 1970; and diabetes, where the U.S. rate was higher by a factor of 11 in 1970 and a factor of four in 1988.

    There were, of course, variations between the two countries in their standards of diagnosis and the classification of causes of death, with U.S. records generally thought to be more accurate, whereas the USSR's rates improved with time. The Soviet Union also did not provide separate data for deaths caused by liver disease or pneumonia/influenza, possibly due to the rise and prevalence of alcohol-related deaths during the given period, which the government wished to downplay. Preventable deaths related to alcohol and substance abuse (including tobacco) were major factors in the Soviet Union's high death rates in certain categories, such as accidental deaths, pulmonary disease, and suicides. In contrast, the U.S.' higher rate of diabetes deaths has been attribute to an increase in levels of Type 2 diabetes, which is most-commonly caused by lifestyle and dietary factors.

  5. Mortality rates from treatable causes in 2021, by country

    • statista.com
    Updated Oct 9, 2024
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    Statista (2024). Mortality rates from treatable causes in 2021, by country [Dataset]. https://www.statista.com/statistics/1286618/mortality-rates-from-treatable-causes-oecd-countries-by-country/
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    Dataset updated
    Oct 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In 2021, the average mortality rate across OECD countries from treatable causes stood at 79 deaths per 100,000 population. This varied widely from just 39 deaths in Switzerland to 257 treatable deaths in South Africa per 100,000 population. The OECD defines treatable (or amenable) mortality as causes of death that can be mainly avoided through timely and effective health care interventions including secondary prevention and treatment (i.e. after the onset of disease, to reduce case fatality). Preventable mortality is defined as causes of death amongst people aged under 75 years that can be mainly avoided through effective public health and primary prevention interventions (i.e. before the onset of disease/injury, to reduce incidence).
    This statistic presents the mortality rates from treatable causes in OECD countries in 2021, by country.

  6. Percentage of adults in the U.S. who smoke as of 2023, by state

    • statista.com
    • ai-chatbox.pro
    Updated Nov 22, 2024
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    Statista (2024). Percentage of adults in the U.S. who smoke as of 2023, by state [Dataset]. https://www.statista.com/statistics/261595/us-states-with-highest-smoking-rates-among-adults/
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    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    As of 2023, the U.S. states with the highest smoking rates included West Virginia, Tennessee, and Louisiana. In West Virginia, around 20 percent of all adults smoked as of this time. The number of smokers in the United States has decreased over the past decades. Who smokes? The smoking rates for both men and women have decreased for many years, but men continue to smoke at higher rates than women. As of 2021, around 13 percent of men were smokers compared to 10 percent of women. Concerning race and ethnicity, smoking is least prevalent among Asians with just five percent of this population smoking compared to 13 percent of non-Hispanic whites. Health impacts of smoking The negative health impacts of smoking are vast. Smoking increases the risk of heart disease, stroke, and many different types of cancers. For example, smoking is estimated to be attributable to 81 percent of all deaths from lung cancer among adults 30 years and older in the United States. Smoking is currently the leading cause of preventable death in the United States.

  7. c

    Standardised preventable and treatable mortality

    • opendata.marche.camcom.it
    json
    Updated Mar 21, 2025
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    ESTAT (2025). Standardised preventable and treatable mortality [Dataset]. https://opendata.marche.camcom.it/json-browser.htm?dse=sdg_03_42?lastTimePeriod=1
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    jsonAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    ESTAT
    License

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

    Time period covered
    2022
    Area covered
    Variables measured
    Rate
    Description

    Avoidable mortality covers both preventable and treatable causes of mortality. Preventable mortality refers to mortality that can mainly be avoided through effective public health and primary prevention interventions (i.e. before the onset of diseases/injuries, to reduce incidence). Treatable mortality can mainly be avoided through timely and effective health care interventions, including secondary prevention and treatment (after the onset of diseases to reduce case-fatality). The total avoidable mortality includes a number of infectious diseases, several types of cancers, endocrine and metabolic diseases, as well as some diseases of the nervous, circulatory, respiratory, digestive, genitourinary systems, some diseases related to pregnancy, childbirth and the perinatal period, a number of congenital malformations, adverse effects of medical and surgical care, a list of injuries and alcohol and drug related disorders. The data are presented as standardised death rates, meaning they are adjusted to a standard age distribution in order to measure death rates independently of different age structures of populations. This approach improves comparability over time and between countries. The standardised death rates used here are calculated on the basis of the standard European population. Copyright notice and free re-use of data on: https://ec.europa.eu/eurostat/about-us/policies/copyright

  8. f

    Causes of death and infant mortality rates among full-term births in the...

    • plos.figshare.com
    tiff
    Updated Jun 1, 2023
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    Neha Bairoliya; Günther Fink (2023). Causes of death and infant mortality rates among full-term births in the United States between 2010 and 2012: An observational study [Dataset]. http://doi.org/10.1371/journal.pmed.1002531
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Neha Bairoliya; Günther Fink
    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

    BackgroundWhile the high prevalence of preterm births and its impact on infant mortality in the US have been widely acknowledged, recent data suggest that even full-term births in the US face substantially higher mortality risks compared to European countries with low infant mortality rates. In this paper, we use the most recent birth records in the US to more closely analyze the primary causes underlying mortality rates among full-term births.Methods and findingsLinked birth and death records for the period 2010–2012 were used to identify the state- and cause-specific burden of infant mortality among full-term infants (born at 37–42 weeks of gestation). Multivariable logistic models were used to assess the extent to which state-level differences in full-term infant mortality (FTIM) were attributable to observed differences in maternal and birth characteristics. Random effects models were used to assess the relative contribution of state-level variation to FTIM. Hypothetical mortality outcomes were computed under the assumption that all states could achieve the survival rates of the best-performing states. A total of 10,175,481 infants born full-term in the US between January 1, 2010, and December 31, 2012, were analyzed. FTIM rate (FTIMR) was 2.2 per 1,000 live births overall, and ranged between 1.29 (Connecticut, 95% CI 1.08, 1.53) and 3.77 (Mississippi, 95% CI 3.39, 4.19) at the state level. Zero states reached the rates reported in the 6 low-mortality European countries analyzed (FTIMR < 1.25), and 13 states had FTIMR > 2.75. Sudden unexpected death in infancy (SUDI) accounted for 43% of FTIM; congenital malformations and perinatal conditions accounted for 31% and 11.3% of FTIM, respectively. The largest mortality differentials between states with good and states with poor FTIMR were found for SUDI, with particularly large risk differentials for deaths due to sudden infant death syndrome (SIDS) (odds ratio [OR] 2.52, 95% CI 1.86, 3.42) and suffocation (OR 4.40, 95% CI 3.71, 5.21). Even though these mortality differences were partially explained by state-level differences in maternal education, race, and maternal health, substantial state-level variation in infant mortality remained in fully adjusted models (SIDS OR 1.45, suffocation OR 2.92). The extent to which these state differentials are due to differential antenatal care standards as well as differential access to health services could not be determined due to data limitations. Overall, our estimates suggest that infant mortality could be reduced by 4,003 deaths (95% CI 2,284, 5,587) annually if all states were to achieve the mortality levels of the best-performing state in each cause-of-death category. Key limitations of the analysis are that information on termination rates at the state level was not available, and that causes of deaths may have been coded differentially across states.ConclusionsMore than 7,000 full-term infants die in the US each year. The results presented in this paper suggest that a substantial share of these deaths may be preventable. Potential improvements seem particularly large for SUDI, where very low rates have been achieved in a few states while average mortality rates remain high in most other areas. Given the high mortality burden due to SIDS and suffocation, policy efforts to promote compliance with recommended sleeping arrangements could be an effective first step in this direction.

  9. f

    Measures administered at major study time points.

    • plos.figshare.com
    xls
    Updated Sep 6, 2024
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    Jonathan R. Young; Carri S. Polick; Andrew M. Michael; Moritz Dannhauer; Jeffrey T. Galla; Mariah K. Evans; Addison Troutman; Angela C. Kirby; Michelle F. Dennis; Claire W. Papanikolas; Zhi-De Deng; Scott D. Moore; Eric A. Dedert; Merideth A. Addicott; Lawrence G. Appelbaum; Jean C. Beckham (2024). Measures administered at major study time points. [Dataset]. http://doi.org/10.1371/journal.pone.0291562.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Jonathan R. Young; Carri S. Polick; Andrew M. Michael; Moritz Dannhauer; Jeffrey T. Galla; Mariah K. Evans; Addison Troutman; Angela C. Kirby; Michelle F. Dennis; Claire W. Papanikolas; Zhi-De Deng; Scott D. Moore; Eric A. Dedert; Merideth A. Addicott; Lawrence G. Appelbaum; Jean C. Beckham
    License

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

    Description

    Tobacco-related deaths remain the leading cause of preventable death in the United States. Veterans suffering from posttraumatic stress disorder (PTSD)—about 11% of those receiving care from the Department of Veterans Affairs (VA)—have triple the risk of developing tobacco use disorder (TUD). The most efficacious strategies being used at the VA for smoking cessation only result in a 23% abstinence rate, and veterans with PTSD only achieve a 4.5% abstinence rate. Therefore, there is a critical need to develop more effective treatments for smoking cessation. Recent studies suggest the insula is integrally involved in the neurocircuitry of TUD. Thus, we propose a feasibility phase II randomized controlled trial (RCT) to study a form of repetitive transcranial magnetic stimulation (rTMS) called intermittent theta burst stimulation (iTBS). iTBS has the advantage of allowing for a patterned form of stimulation delivery that we will administer at 90% of the subject’s resting motor threshold (rMT) applied over a region in the right post-central gyrus most functionally connected to the right posterior insula. We hypothesize that by increasing functional connectivity between the right post-central gyrus and the right posterior insula, withdrawal symptoms and short-term smoking cessation outcomes will improve. Fifty eligible veterans with comorbid TUD and PTSD will be randomly assigned to active-iTBS + cognitive behavioral therapy (CBT) + nicotine replacement therapy (NRT) (n = 25) or sham-iTBS + CBT + NRT (n = 25). The primary outcome, feasibility, will be determined by achieving a recruitment of 50 participants and retention rate of 80%. The success of iTBS will be evaluated through self-reported nicotine use, cravings, withdrawal symptoms, and abstinence following quit date (confirmed by bioverification) along with evaluation for target engagement through neuroimaging changes, specifically connectivity differences between the insula and other regions of interest.

  10. Distribution of preventability in maternal mortality U.S. 2008 to 2017, by...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Distribution of preventability in maternal mortality U.S. 2008 to 2017, by cause [Dataset]. https://www.statista.com/statistics/810410/maternal-mortality-distribution-of-preventability-in-us-by-cause/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the percentage of pregnancy-related deaths in the U.S. that were preventable from 2008 to 2017, by two of the major causes. During this time period it was estimated that ** percent of pregnancy-related deaths caused by hemorrhage were preventable.

  11. List of noncommunicable diseases.

    • figshare.com
    xls
    Updated Oct 20, 2023
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    Maddalena Ferranna; Daniel Cadarette; Simiao Chen; Parastou Ghazi; Faith Ross; Leo Zucker; David E. Bloom (2023). List of noncommunicable diseases. [Dataset]. http://doi.org/10.1371/journal.pone.0293144.t001
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    xlsAvailable download formats
    Dataset updated
    Oct 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Maddalena Ferranna; Daniel Cadarette; Simiao Chen; Parastou Ghazi; Faith Ross; Leo Zucker; David E. Bloom
    License

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

    Description

    Noncommunicable diseases and mental health conditions (referred to collectively as NMHs) are the greatest cause of preventable death, illness, and disability in South America and negatively affect countries’ economic performance through their detrimental impacts on labor supply and capital investments. Sound, evidence-based policy-making requires a deep understanding of the macroeconomic costs of NMHs and of their distribution across countries and diseases. The paper estimates and projects the macroeconomic burden of NMHs over the period 2020–2050 in 10 South American countries. We estimate the impact of NMHs on gross domestic product (GDP) through a human capital-augmented production function approach, accounting for mortality and morbidity effects of NMHs on labor supply, for the impact of treatment costs on physical capital accumulation, and for variations in human capital by age. Our central estimates suggest that the overall burden of NMHs in these countries amounts to $7.3 trillion (2022 international $, 3% discount rate, 95% confidence interval: $6.8–$7.8 trillion). Overall, the macroeconomic burden of NMHs is around 4% of total GDP over 2020–2050, with little variation across countries (from 3.2% in Peru to 4.5% in Brazil). In other words, without NMHs, annual GDP over 2020–2050 would be about 4% larger. In most countries, the largest macroeconomic burden is associated with cancers. Results from the paper point to a significant macroeconomic burden of NMHs in South America and provide a strong justification for investment in NMH prevention, early detection, treatment, and formal and informal care.

  12. Maternal mortality rates worldwide in 2022, by country

    • statista.com
    Updated Dec 12, 2024
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    Statista (2024). Maternal mortality rates worldwide in 2022, by country [Dataset]. https://www.statista.com/statistics/1240400/maternal-mortality-rates-worldwide-by-country/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    Maternal mortality rates can vary significantly around the world. For example, in 2022, Estonia had a maternal mortality rate of zero per 100,000 live births, while Mexico reported a rate of 38 deaths per 100,000 live births. However, the regions with the highest number of maternal deaths are Sub-Saharan Africa and Southern Asia, with differences between countries and regions often reflecting inequalities in health care services and access. Most causes of maternal mortality are preventable and treatable with the most common causes including severe bleeding, infections, complications during delivery, high blood pressure during pregnancy, and unsafe abortion. Maternal mortality in the United States In 2022, there were a total of 817 maternal deaths in the United States. Women aged 25 to 39 years accounted for 578 of these deaths, however, rates of maternal mortality are much higher among women aged 40 years and older. In 2022, the rate of maternal mortality among women aged 40 years and older in the U.S. was 87 per 100,000 live births, compared to a rate of 21 among women aged 25 to 39 years. The rate of maternal mortality in the U.S. has risen in recent years among all age groups. Differences in maternal mortality in the U.S. by race/ethnicity Sadly, there are great disparities in maternal mortality in the United States among different races and ethnicities. In 2022, the rate of maternal mortality among non-Hispanic white women was about 19 per 100,000 live births, while non-Hispanic Black women died from maternal causes at a rate of almost 50 per 100,000 live births. Rates of maternal mortality have risen for white and Hispanic women in recent years, but Black women have by far seen the largest increase in maternal mortality. In 2022, around 253 Black women died from maternal causes in the United States.

  13. o

    ECIN Replication Package for "Misinformation, Consumer Risk Perceptions, and...

    • openicpsr.org
    Updated Apr 3, 2024
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    Lawrence Jin; Donald Kenkel; Michael Lovenheim; Alan Mathios; Hua Wang (2024). ECIN Replication Package for "Misinformation, Consumer Risk Perceptions, and Markets: The Impact of an Information Shock on Vaping and Smoking Cessation" [Dataset]. http://doi.org/10.3886/E199701V2
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    Dataset updated
    Apr 3, 2024
    Dataset provided by
    Jeb E. Brooks School of Public Policy, Cornell University
    Department of Economics, Jeb E. Brooks School of Public Policy, Cornell University
    Lee Kuan Yew School of Public Policy, National University of Singapore
    Authors
    Lawrence Jin; Donald Kenkel; Michael Lovenheim; Alan Mathios; Hua Wang
    License

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

    Time period covered
    2019 - 2022
    Area covered
    United States
    Description

    This is a result replication package accompanying a paper, whose Abstract is the following.ABSTRACT Smoking is the leading preventable cause of death in the U.S. Because e-cigarettes do not involve the combustion of tobacco, vaping offers the potential to prevent the majority of the health consequences of smoking. We study the impact of an information shock created by an outbreak of lung injuries apparently related to e-cigarettes. We use data from multiple sources: surveys of risk perceptions conducted before, during, and after the outbreak; an in-depth survey we conducted on risk perceptions and vaping and smoking behavior; and national aggregate time-series sales data. We find that after the outbreak, consumer perceptions of the riskiness of e-cigarettes sharply increased, so that in contrast to almost all experts, the majority of consumers perceive e-cigarettes to be relatively and absolutely riskier than cigarettes. From our estimated e-cigarette demand models, we conclude that the information shock reduced e-cigarette demand by about 30 percent. We also estimate that the information shock decreased the use of e-cigarettes for smoking cessation, again by about 30 percent. Our estimates predict that over time, the reduced smoking cessation due to the information shock will in turn increase smoking-related illness and death.

  14. f

    Macroeconomic burden of NMHs over the period 2020–2050.

    • plos.figshare.com
    xls
    Updated Oct 20, 2023
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    Maddalena Ferranna; Daniel Cadarette; Simiao Chen; Parastou Ghazi; Faith Ross; Leo Zucker; David E. Bloom (2023). Macroeconomic burden of NMHs over the period 2020–2050. [Dataset]. http://doi.org/10.1371/journal.pone.0293144.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 20, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maddalena Ferranna; Daniel Cadarette; Simiao Chen; Parastou Ghazi; Faith Ross; Leo Zucker; David E. Bloom
    License

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

    Description

    Macroeconomic burden of NMHs over the period 2020–2050.

  15. Venturi Mask Market Analysis, Size, and Forecast 2024-2028: North America...

    • technavio.com
    Updated Jun 22, 2024
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    Technavio (2024). Venturi Mask Market Analysis, Size, and Forecast 2024-2028: North America (US and Canada), Europe (France, Germany, Italy, and UK), Middle East and Africa (Egypt, KSA, Oman, and UAE), APAC (China, India, and Japan), and South America (Argentina and Brazil), Rest of World (RoW) [Dataset]. https://www.technavio.com/report/venturi-mask-market-industry-analysis
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    Dataset updated
    Jun 22, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, Saudi Arabia, Germany, United States, Global
    Description

    Snapshot img

    Venturi Mask Market Size 2024-2028

    The venturi mask market size is forecast to increase by USD 2.74 billion at a CAGR of 15.63% between 2023 and 2028.

    The market is experiencing significant growth due to the increasing prevalence of chronic respiratory disorders, such as asthma and COPD. This trend is driven by the rising number of people suffering from these conditions and the subsequent demand for effective respiratory treatment solutions. Additionally, there is a growing focus on improved product designs for medical devices to enhance patient comfort and compliance, while healthcare services continue to prioritize innovation and patient-centered care. However, unfavorable reimbursement scenarios pose a challenge to market growth. Despite this, advancements in technology and the development of innovative mask designs offer opportunities for market expansion. The market is expected to grow steadily due to the high prevalence of chronic respiratory disorders and the availability of advanced healthcare facilities. Companies in this market are investing in research and development to create masks with superior features, such as improved fit, ease of use, and enhanced filtration capabilities. 
    

    What will be the Size of the Venturi Mask Market During the Forecast Period?

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    The market, a segment of the global air pollution mitigation industry, is experiencing significant growth due to the rising prevalence of air pollution-related health issues, including preventable deaths from COPD and cardiovascular diseases. This trend is particularly prominent In the sports and geriatric populations, as physical activity and aging can exacerbate respiratory conditions. Cigarette smoke is another major contributor to air pollution and associated health risks, further driving demand for Venturi masks.
    The homecare segment of the market is expected to dominate, driven by increasing healthcare costs and the growing elderly population. Economic, social, and political factors, including GDP growth rate, demographic shifts, and regulations, are influencing market dynamics. Quantitative data indicates a steady increase in market size, while qualitative data from subject-related experts advises on pricing trends and product lifecycle stages. Positive changes in regulations and public awareness of air pollution's health impacts are also contributing to market growth.
    

    How is this Venturi Mask Industry segmented and which is the largest segment?

    The venturi mask industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Application
    
      COPD
      Asthma
      Others
    
    
    End-user
    
      Hospitals and clinics
      Homecare
      ASCs
    
    
    Product Type
    
      Adult Venturi Masks
      Pediatric Venturi Masks
      Disposable Adjustable Venturi Masks
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      Asia
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Middle East & Africa
    
        UAE
    
    
      Rest of World (ROW)
    

    By Application Insights

    The COPD segment is estimated to witness significant growth during the forecast period.
    

    Chronic obstructive pulmonary disease (COPD) is a significant global health concern, being the fourth leading cause of death worldwide. With an estimated 12% of the global population affected, the prevalence and related healthcare costs are projected to increase in both developed and developing countries. The primary drivers of COPD include smoking and air pollution. Long-term oxygen therapy is the primary treatment for COPD patients with chronic respiratory failure, aiming to enhance their prognosis.

    This market is influenced by various economic, political, and social scenarios. Macroeconomic analysis, value chain analysis, pricing analysis, and product development are crucial factors shaping the market's competitive position. External factors, such as regulations and positive/negative changes, also impact the market's growth trajectory. Understanding these elements is essential for businesses aiming to capitalize on opportunities and mitigate risks In the market.

    Get a glance at the Venturi Mask Industry report of share of various segments Request Free Sample

    The COPD segment was valued at USD 747.90 million in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 41% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    The market in North America held a significant market share in 2023, with the US b

  16. American Samoa - Health Indicators

    • data.humdata.org
    csv
    Updated Jun 16, 2025
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    World Health Organization (2025). American Samoa - Health Indicators [Dataset]. https://data.humdata.org/dataset/who-data-for-asm
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    csv(40323), csv(1037), csv(143), csv(806452), csv(766054), csv(616273)Available download formats
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    World Health Organizationhttps://who.int/
    Area covered
    American Samoa
    Description

    This dataset contains data from WHO's data portal covering the following categories:

    Adolescent, Ageing, Air pollution, Assistive technology, Child, Child mortality, Cross-cutting, Dementia diagnosis, treatment and care, Environment and health, Foodborne Diseases Estimates, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, Global strategy, HIV, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, Malaria, Maternal and newborn, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, SDG Target 3.8 | Achieve universal health coverage (UHC), Sexually Transmitted Infections, Tobacco control, Tuberculosis, Vaccine-preventable communicable diseases, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics.

    For links to individual indicator metadata, see resource descriptions.

  17. f

    Descriptive statistics analysis sample.

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
    + more versions
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    Eric A. W. Slob; Cornelius A. Rietveld (2023). Descriptive statistics analysis sample. [Dataset]. http://doi.org/10.1371/journal.pone.0259210.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Eric A. W. Slob; Cornelius A. Rietveld
    License

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

    Description

    Descriptive statistics analysis sample.

  18. f

    Results of the regressions explaining an individual’s smoking intensity.

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Eric A. W. Slob; Cornelius A. Rietveld (2023). Results of the regressions explaining an individual’s smoking intensity. [Dataset]. http://doi.org/10.1371/journal.pone.0259210.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Eric A. W. Slob; Cornelius A. Rietveld
    License

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

    Description

    Results of the regressions explaining an individual’s smoking intensity.

  19. Number of deaths due to abortion in Argentina 2005-2021

    • statista.com
    Updated May 8, 2023
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    Statista (2023). Number of deaths due to abortion in Argentina 2005-2021 [Dataset]. https://www.statista.com/statistics/869682/argentina-number-deaths-abortion/
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    Dataset updated
    May 8, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Argentina
    Description

    In 2021, a total of 13 deaths were reported to have occurred as a result of complications following an abortion in Argentina, down from 23 deaths registered a year earlier. Abortion is one of the leading causes of pregnancy-related deaths in Argentina.

    In December 2020, abortion in Argentina was legalized up until the 14th week of pregnancy. Before the law passed, abortion was only decriminalized in cases where the pregnant person's life or health was in danger, or if the pregnancy was the result of rape.

  20. Per capita cigarette consumption in the United States 1900-2015

    • statista.com
    Updated Dec 9, 2016
    + more versions
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    Statista (2016). Per capita cigarette consumption in the United States 1900-2015 [Dataset]. https://www.statista.com/statistics/261576/cigarette-consumption-per-adult-in-the-us/
    Explore at:
    Dataset updated
    Dec 9, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Per capita cigarette consumption in the United States has decreased in recent years, with smokers in 2015 consuming an average of 1,078 cigarettes per capita. In total, there were around 267 billion cigarettes consumed in the U.S. that year. Cigarette consumption in the U.S. has decreased due to public policies limiting where people can smoke, higher taxes on cigarettes, and increased awareness by the general public of the health risks associated with smoking.

    Smokers in the U.S.

    Even though cigarette consumption has decreased, there are still around 38 million people in the U.S. who regularly smoke cigarettes. This is around 15.5 percent of the entire population. However, in the year 2000, 23 percent of the population smoked, a significant difference from present day figures. Smoking remains more common among males than females and rates of smoking among adolescents have decreased.

    Health risks

    Smoking has been proven to increase the risk of a variety of diseases and is the leading cause of preventable death in the U.S. Smoking harms almost every organ in the body and increases a person’s chance of developing lung cancer, heart disease, and stroke. For example, men who smoke are 25 times more likely to develop lung cancer than men who don’t smoke. Furthermore, around 81 percent of all deaths from lung, bronchus and trachea cancer can be attributed to cigarette smoking.

Share
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Click to copy link
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Close
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Statista (2024). Mortality rates from preventable causes in 2021, by country [Dataset]. https://www.statista.com/statistics/1286558/mortality-rates-from-preventable-causes-oecd-countries-by-country/
Organization logo

Mortality rates from preventable causes in 2021, by country

Explore at:
Dataset updated
Oct 9, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2021
Area covered
Worldwide
Description

In 2021, the average mortality rate across OECD countries from preventable causes stood at 158 deaths per 100,000 population. This varied widely from just 83 deaths in Israel to 435 preventable deaths in Mexico per 100,000 population. The OECD defines preventable mortality as causes of death amongst people aged under 75 years that can be mainly avoided through effective public health and primary prevention interventions (i.e. before the onset of disease/injury, to reduce incidence). Treatable (or amenable mortality is defined as causes of death that can be mainly avoided through timely and effective health care interventions including secondary prevention and treatment (i.e. after the onset of disease, to reduce case fatality). This statistic presents the mortality rates from preventable causes worldwide in 2021, by country.

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