Skip to content
World Health Systems Facts

Health System Outcomes

Austria

Czech Republic

Germany

Japan

Spain

United Kingdom

Canada

Denmark

Hungary

Netherlands

Sweden

United States

Costa Rica

France

Italy

South Korea

Switzerland


Life Expectancies In Several Nations (2018)

“Prior to the COVID-19 pandemic, population health was improving globally, increasing the global average life expectancy at birth from 66.8 years in 2000 to 73.3 years in 2019, and healthy life expectancy at birth from 58.3 years in 2000 to 63.7 years in 2019 (1). In 2019, LE [Life Expectancy] and HALE [Healthy Life Expectancy] for males reached 70.9 years and 62.5 years, respectively. For females, the equivalent figures are 75.9 years and 64.9 years, respectively (Fig. 2.1).

“The African Region still had the lowest LE and HALE among WHO regions in 2019, at only 64.5 and 56.0 years, respectively, despite experiencing the largest gains over the past two decades. The Region of the Americas had the highest LE (74.1 years) in 2000 but dropped to third place (77.2 years) in 2019 as the European Region and Western Pacific Region made accelerated gains, reaching 78.2 and 77.7 years, respectively. The latter two regions also had the highest HALE in 2019, at 68.3 and 68.6 years, respectively.

“A metric to assess the health of older adults, LE at 60 years of age, has also improved globally from 18.8 in 2000 to 21.1 in 2019. However, HALE at 60 years has only risen from 14.1 to 15.8 in the same period.”

Source: World health statistics 2021: monitoring health for the SDGs, sustainable development goals. Geneva: World Health Organization; 2021. Licence: CC BY-NC-SA 3.0 IGO.


“Life expectancy has increased in all OECD countries over the past 50 years, but progress has slowed over the last decade. Furthermore, the COVID‑19 pandemic led to life expectancy falling in most OECD countries in 2020 (see Chapter 2 for an indepth analysis of the health impact of COVID‑19).

“In 2019, life expectancy at birth was 81 years on average across OECD countries – over 10 years higher than it was in 1970 (Figure 3.1). Japan, Switzerland and Spain lead a large group of 27 OECD member countries in which life expectancy at birth exceeds 80 years. A second group, including the United States and a number of central and eastern European countries, has a life expectancy between 77 and 80 years. Mexico, Latvia, Lithuania, Hungary and Colombia have the lowest life expectancy, at less than 77 years in 2019.

“Among OECD member countries, Turkey (+24 years), Korea (+21) and Chile (+18) have experienced the largest gains in life expectancy since 1970. Stronger health systems have contributed to these increases, by offering more accessible and higher quality care. Wider determinants of health matter too – notably rising incomes, better education and improved living environments. Healthier lifestyles, influenced by policies within and beyond the health system, have also had a major impact (James, Devaux and Sassi, 2017[1]).”

Source: OECD (2021), Health at a Glance 2021: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/ae3016b9-en.


“Circulatory diseases – notably heart attack and stroke – were the main cause of mortality in most OECD countries in 2019, accounting for almost one in three deaths across the OECD. While mortality rates have declined in most OECD countries over time, population ageing, rising obesity and diabetes rates may hamper further reductions (OECD, 2015[11]). Indeed, prior to the COVID‑19 pandemic, slowing improvements in heart disease and stroke were one of the principal causes of a slowdown in life expectancy gains in many countries (Raleigh, 2019[2]). Furthermore, COVID‑19 may indirectly contribute to more deaths from circulatory diseases, owing to disruptions to acute, primary and preventive care.

“In 2019, heart attacks and other ischaemic heart diseases (IHDs) accounted for 11% of all deaths in OECD countries. IHDs are caused by the accumulation of fatty deposits lining the inner wall of a coronary artery, restricting blood flow to the heart. Mortality rates are 80% higher for men than women across OECD countries, primarily because of a greater prevalence of risk factors among men, such as smoking, hypertension and high cholesterol.

“Among OECD countries, central and eastern European countries had the highest IHD mortality rates – particularly in Lithuania, where there were 340 deaths per 100 000 people (age‑standardised). Rates were also very high in Russia. Korea, Japan, France and the Netherlands had the lowest rates among OECD countries, at about one‑third of the OECD average and around one‑tenth of the rates in Lithuania and Russia (Figure 3.11). Between 2000 and 2019, IHD mortality rates declined in nearly all OECD countries, with an average reduction of 47%. Declines were most marked in France, Estonia, the Netherlands, Israel, Norway and Australia, where rates fell by over 60%. Mexico is the one country where IHD mortality rates increased. This is closely linked to increasing obesity rates and diabetes prevalence. Survival rates following a heart attack are also much lower in Mexico than in all other OECD countries (see indicator “Mortality following acute myocardial infarction (AMI)” in Chapter 6).”

Source: OECD (2021), Health at a Glance 2021: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/ae3016b9-en.


“In partner countries, life expectancy remains well below the OECD average. Still, levels are converging rapidly towards the OECD average, with considerable gains in longevity since 1970 in India, the People’s Republic of China (China), Brazil and Indonesia. There has been less progress in the Russian Federation (Russia), due mainly to the impact of the economic transition in the 1990s and a rise in risky health behaviours among men. South Africa has also experienced slow progress, due mainly to the HIV/AIDS epidemic, although longevity gains over the last decade have been more rapid.”

Source: OECD (2021), Health at a Glance 2021: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/ae3016b9-en.


“Higher national income is generally associated with greater longevity, particularly at lower income levels. Life expectancy is also, on average, longer in countries that invest more in health systems – although this relationship tends to be less pronounced in countries with the highest health spending per capita (see Chapter 1 for further analysis).

“COVID‑19 is expected to have a major impact on life expectancy, due to the exceptionally high number of deaths this pandemic has caused. Indeed, OECD countries recorded around 1.7 million excess deaths, compared with the average number of deaths over the five preceding years (see indicator “Excess mortality”). In 2020, life expectancy fell in all OECD countries for which data are available, other than Norway, Japan, Costa Rica, Denmark, Finland and Latvia (Figure 3.2). The annual reduction reached one year or more in nine countries, and was particularly large in the United States (-1.6 years) and Spain (‑1.5 years).

“Even before COVID‑19, gains in life expectancy had been slowing down markedly in a number of OECD countries over the last decade. This slowdown was most marked in the United States, France, the Netherlands, Germany and the United Kingdom. Longevity gains were slower for women than men in almost all OECD countries.

“The causes of this slowdown in life expectancy gains over time are multi-faceted (Raleigh, 2019[2]). Principal among them is slowing improvements in heart disease and stroke. Rising levels of obesity and diabetes, as well as population ageing, have made it difficult for countries to maintain previous progress in cutting deaths from such circulatory diseases. Respiratory diseases such as influenza and pneumonia have claimed more lives in recent years – most notably in 2015, but also in the winters of 2012‑13 and 2016‑17. In some countries – particularly the United States and Canada – the opioid crisis has caused more working-age adults to die from drug-related accidental poisoning. More broadly, economic recessions and related austerity measures, as in the 2008 global economic crisis, have been linked to deteriorating mental health and increased suicide rates, but with a less clear-cut impact on overall mortality (Parmar, Stavropoulou and Ioannidis, 2016[3]). What is clear is that continued gains in longevity should not be taken for granted, with better protection of older people and other at-risk populations paramount to extending life expectancy.”

Source: OECD (2021), Health at a Glance 2021: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/ae3016b9-en.


“Women live longer than men in all OECD member and partner countries. This gender gap averaged 5.3 years across OECD countries in 2019 – life expectancy at birth for women was 83.6 years, compared with 78.3 years for men (Figure 3.3). The gender gap in life expectancy has narrowed by one year since 2000, however, reflecting more rapid gains in life expectancy among men in most countries.

“In 2019, life expectancy at birth for men in OECD member countries ranged from around 71 years in Latvia and Lithuania to 81 years or higher in Switzerland, Japan, Iceland, Sweden, Italy, Norway, Spain and Israel. For women, life expectancy reached 87.5 years in Japan, but was less than 80 years in Mexico, Hungary and Colombia.

“Gender gaps are relatively narrow in Iceland, the Netherlands, Sweden, Norway, New Zealand, Switzerland, the United Kingdom, Israel and Ireland – at less than four years. However, there are large gender differences in many central and eastern European countries – most notably in Lithuania and Latvia (over 9 years), Estonia (8.5 years) and Poland (7.8 years). In these countries, gains in longevity for men over the past few decades have been much more modest. This is partly due to greater exposure to risk factors among men – particularly greater tobacco use, excessive alcohol consumption and less healthy diets – resulting in more deaths from heart diseases, cancer and other diseases. For OECD partner countries, the gender gap stands at ten years in Russia, and around seven years in Brazil and South Africa. China (4.4 years) and India (2.5 years) have smaller gender gaps.

“Socio‑economic inequalities in life expectancy are also evident in all OECD countries with available data (Figure 3.4). On average among 24 OECD countries, a 30‑year‑old with less than an upper secondary education level can expect to live for 5.2 fewer years than a 30‑year‑old with tertiary education (a university degree or equivalent). These differences are higher among men, with an average gap of 6.5 years, compared with an average gap of 3.9 years among women.

“Socio‑economic inequalities are particularly striking among men in many central and eastern European countries (Slovak Republic, Latvia, Poland, Hungary), where the life expectancy gap between men with lower and higher education levels is over ten years. Gaps in life expectancy by education are relatively small in Italy and Sweden.

“More deaths among prime‑age adults (25‑64 years) with lower education levels drive much of this education gap in life expectancy. Mortality rates are almost four times higher for less educated prime‑age men, and about twice as high for less educated prime‑age women, compared to those with tertiary education (analysis based on data from 23 OECD countries).

“Differences in mortality rates among older men and women, while less marked, remain higher among the less educated, driven mainly by more deaths from circulatory diseases and cancer (Murtin et al., 2017[4]).”

Source: OECD (2021), Health at a Glance 2021: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/ae3016b9-en.


“In 2019, across OECD countries, over 3 million premature deaths amongst people aged under 75 years could have been avoided through better prevention and health care interventions. This amounts to over one‑quarter of all deaths. Of these deaths, about 1.9 million were considered preventable through effective primary prevention and other public health measures, and over 1 million were considered treatable through more effective and timely health care interventions.

“Some cancers that are preventable through public health measures were the main causes of preventable mortality in 2019 (31% of all preventable deaths) – particularly lung cancer (Figure 3.9). Other major causes were injuries, such as road accidents and suicide (21%); heart attack, stroke and other circulatory diseases (19%); alcohol and drug-related deaths (14%); and some respiratory diseases such as influenza and COPD (8%).

“The main treatable cause of mortality in 2019 was circulatory diseases (mainly heart attack and stroke), which accounted for 36% of premature deaths amenable to treatment. Effective, timely treatment for cancer, such as colorectal and breast cancers, could have averted a further 27% of all deaths from treatable causes. Respiratory diseases such as pneumonia and asthma (9%) and diabetes and other diseases of the endocrine system (8%) are other major causes of premature death that are amenable to treatment.

“The average age‑standardised mortality rate from preventable causes was 126 deaths per 100,000 people across OECD countries. It ranged from 90 or fewer per 100,000 in Luxembourg, Israel, Iceland, Switzerland, Japan, Italy and Spain to over 200 in Latvia, Hungary, Lithuania and Mexico (Figure 3.10). Higher rates of premature death in these countries were mainly due to much higher mortality from ischaemic heart disease, accidents and alcohol-related deaths, as well as lung cancer in Hungary.

“Mortality rates from treatable causes across OECD countries were much lower, at an average of 73 per 100,000 population. They ranged from fewer than 50 deaths per 100,000 people in Switzerland, Korea, Iceland, Australia, Norway, Japan, France, Sweden and the Netherlands, to over 130 in Mexico, Latvia, Lithuania and Hungary. Ischaemic heart diseases, strokes and some types of treatable cancers (including colorectal and breast cancers) were the main drivers in Latvia, Lithuania and Hungary – countries with some of the highest treatable mortality rates.

“Preventable mortality rates were 2.5 times higher among men than among women across OECD countries (185 per 100,000 population for men compared with 73 for women). Similarly, mortality rates from treatable causes were about 36% higher among men than women, with a rate of 86 per 100,000 population for men compared with 63 for women. These gender gaps are explained by higher mortality rates among men, which are in part linked to different exposure to risk factors such as tobacco smoking (see indicator “Main causes of mortality” and Chapter 4 for an in-depth analysis of risk factors for health).”

Source: OECD (2021), Health at a Glance 2021: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/ae3016b9-en.


“With these limitations in mind, almost 9% of adults considered themselves to be in poor health, on average across OECD countries in 2019 (Figure 3.22). This ranged from over 15% in Korea, Lithuania, Portugal and Latvia to under 4% in Colombia, New Zealand, Canada, Ireland, the United States and Australia. However, the response categories used in OECD countries outside Europe and Asia are asymmetrical on the positive side, which introduces a comparative bias to a more positive self-assessment of health (see the “Definition and comparability” box). Korea, Japan and Portugal stand out as countries with high life expectancy but relatively poor self-rated health.

“Among the few countries with data available for 2020, nearly all reported a reduction in the proportion of the population reporting themselves to be in bad or very bad health compared with 2019, with Finland reporting no change and no countries reporting an increase. While the data must be interpreted with caution – data are available for only seven countries and these include countries where the COVID‑19 pandemic did not severely test health systems – it could be an indication of the influence of context on perceived health: health issues that may previously have been considered more serious may be downplayed in the context of the pandemic.

“People on lower incomes are on average less positive about their health than those on higher incomes in all OECD countries (Figure 3.23). Almost 80% of adults in the highest income quintile rated their health as good or very good in 2019, compared with under 60% of adults in the lowest income quintile, on average across OECD countries. Socio‑economic disparities are particularly marked in Latvia, Estonia, the Czech Republic and Lithuania, with a percentage point gap of 40 or more between adults on low and high incomes. Differences in smoking, harmful alcohol use and other risk factors are likely to explain much of this disparity.

“Socio‑economic disparities are relatively low in Australia, Colombia, Greece, Israel and Italy, at less than 10 percentage points. Self-rated health tends to decline with age. In many countries, there is a particularly marked decline in how people rate their health when they reach their mid‑40s, with a further decline after reaching retirement age. Men are also more likely than women to rate their health as good.”

Source: OECD (2021), Health at a Glance 2021: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/ae3016b9-en.


“Remarkable declines were seen for child mortality, yet disparities remain. In 2019, an estimated 5.2 million children (90% UI 5.0 to 5.6) died before reaching 5 years of age, with 2.4 million (90% UI 2.3 to 2.7) (47%) dying within the first 28 days of life (the neonatal period). Under-five and neonatal mortality rates have declined considerably over the past 30 years. In 2019, the underfive mortality rate was 37.7 per 1000 live births (90% UI 36.1 to 40.8), which is a 59% reduction from the 93 per 1000 live births (90% UI 91.7 to 94.5) seen in 1990. Neonatal deaths reached 17.5 per 1000 live births (90% UI 16.6 to 19) in 2019, which is a 52% reduction from 36.6 in 1990 (90% UI 35.6 to 37.8). Most of the under-five deaths were concentrated in two SDG regions: subSaharan Africa and Central and Southern Asia, which together accounted for more than 80% of deaths in 2019 yet only 52% of the under-five population.

“With the general declines in under-five mortality rates across all SDG regions and income groups, the lowest levels of child mortality have been achieved in UMICs and HICs (Fig. 2.6) with under-five mortality rates at 13.4 (90% UI 12.7 to 14.3) and 5.0 (90% UI 4.9 to 5.3), respectively. 122 countries and territories have already met the SDG target for under-five mortality and 20 countries are expected to do so by 2030. Intensified efforts are needed in 53 countries, three quarters of which are in sub-Saharan Africa.

“The COVID-19 pandemic risks reversing the remarkable improvements seen over the past two decades in child and adolescent survival (2). There is evidence that children and adolescents experience milder symptoms with SARS-CoV-2, the virus that causes COVID-19 disease, compared to adults. Nonetheless, they have been severely affected by disruptions in essential health, education and other services and by increasing poverty and inequality (3,4).”

Source: World health statistics 2021: monitoring health for the SDGs, sustainable development goals. Geneva: World Health Organization; 2021. Licence: CC BY-NC-SA 3.0 IGO.


Health Systems Facts is a project of the Real Reporting Foundation. We provide reliable statistics and other data from authoritative sources regarding health systems in the US and several other nations.


Breaking News

  • Massive Savings Possible In US Health System October 21, 2021
    October 21, 2021The management consulting firm McKinsey & Company has issued a new report estimating that administrative changes and efficiencies could save the US health system more than a quarter trillion dollars. As noted in a Viewpoint article published in JAMA on October 20:“The analysis dissected profit and loss statements of individual health care organizations, estimated ...
  • Health Care in the US Compared to Other High-Income Countries August 6, 2021
    On August 4, the Commonwealth Fund issued a new report entitled Mirror, Mirror 2021: Reflecting Poorly / Health Care in the US Compared to Other High-Income Countries.The report compares health care systems in eleven nations: the United States, Canada, Switzerland, France, Sweden, New Zealand, Germany, the United Kingdom, Australia, the Netherlands, and Norway.The report’s key ...
  • Medical Debt in Collections in the US August 6, 2021
    On July 20, JAMA published an article on medical debt in collections in the US entitled “Medical Debt in the US, 2009-2020.”The researchers found: “In this retrospective analysis of credit reports for a nationally representative 10% panel of individuals, an estimated 17.8% of individuals in the US had medical debt in collections in June 2020 ...

Page last updated Dec. 16, 2021 by Doug McVay, Editor.

  • Home
  • About Health Systems Facts
    • Contact Us
    • Join Our Email List
  • Breaking News
  • Upcoming Events
  • Seventeen National Health Systems
    • Austria
    • Canada
    • Costa Rica
    • Czech Republic
    • Denmark
    • France
    • Germany
    • Hungary
    • Italy
    • Japan
    • Netherlands
    • South Korea
    • Spain
    • Sweden
    • Switzerland
    • United Kingdom
    • United States
  • Comparing National Health Systems
    • Healthcare Access and Quality Index
    • Sustainable Development Goals Health Index
    • Mirror Mirror 2021
    • World Health Report 2000
    • International Health Systems In Perspective
    • Lessons for US Health Reform
  • Aging
  • Health System Outcomes
  • Healthcare Spending
  • Healthcare Workers
    • Health System Personnel
    • Health Workforce Training
  • Information and Communications Technologies
  • Long-Term Services and Supports
  • People With Disabilities
  • Pharmaceutical Pricing and Regulation
  • Social Determinants Of Health
  • Various US Health System Proposals
    • Affordable Care Act
    • All Payer
    • Public Option
    • Single Payer / “Medicare For All”
  • Recommended Resources
  • Privacy Policy
    • Cookie Policy
  • Facebook
  • LinkedIn
  • Twitter

© 2019-2021 Real Reporting Foundation | Theme by WordPress Theme Detector

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
.
Cookie SettingsAccept
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
_GRECAPTCHA5 months 27 daysThis cookie is set by Google. In addition to certain standard Google cookies, reCAPTCHA sets a necessary cookie (_GRECAPTCHA) when executed for the purpose of providing its risk analysis.
cookielawinfo-checkbox-advertisement1 yearThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Advertisement".
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
CookieDurationDescription
_ga2 yearsThis cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors.
_gat_UA-71314304-21 minuteThis is a pattern type cookie set by Google Analytics, where the pattern element on the name contains the unique identity number of the account or website it relates to. It appears to be a variation of the _gat cookie which is used to limit the amount of data recorded by Google on high traffic volume websites.
_gcl_au3 monthsThis cookie is used by Google Analytics to understand user interaction with the website.
_gid1 dayThis cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected including the number visitors, the source where they have come from, and the pages visted in an anonymous form.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
CookieDurationDescription
IDE1 year 24 daysUsed by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile.
test_cookie15 minutesThis cookie is set by doubleclick.net. The purpose of the cookie is to determine if the user's browser supports cookies.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT
Powered by CookieYes Logo