Quality of life indicators - health

Data from April 2020

Planned article update: June 2021

Highlights

Between 2008 and 2018, life expectancy at birth in the EU rose from 79.3 years to 81.0 years.

In 2018, life expectancy at birth in the EU averaged 81 years, ranging from below 75 years in Bulgaria and Latvia, to over 83 years in Spain and Italy.

In 2018, 68.6 % of adults in the EU declared they were in good or very good health, ranging from 44.0 % in Lithuania to 84.1 % in Ireland.

Life expectancy at birth, by sex, 2018


This article is part of a Eurostat online publication that focuses on Quality of life indicators, providing recent statistics for the European Union (EU). The publication presents a detailed view of various dimensions that can form the basis for a more profound analysis of the quality of life, complementing gross domestic product (GDP) which has traditionally been used to provide a general overview of economic and social developments.

This article focuses on the third dimension — health — of the nine quality of life indicators that form part of a framework endorsed by an expert group on quality of life indicators. Ill health not only undermines an individual’s (and their family’s) quality of life, it can shorten their life span. At a collective level, poor health hinders economic and social development by reducing the human capital available within society. Thus, long and healthy lives may not just be a personal aim, but also an indication of societal well-being and success.

Health is a multifaceted concept and there is no single indicator that can adequately assess its impact in relation to the quality of life. Overall, EU citizens enjoy near-universal access to healthcare, their life expectancy — already among the highest in the world — continues to increase while infant mortality rates have dropped to such low levels that the indicator is often no longer relevant (for this part of the world). Health expenditure constitutes a significant part of government and private expenditure in the EU. Its effectiveness can be measured by a combination of objective health outcome indicators, such as life expectancy, healthy life years or self -perceived health. However, the framework for measuring the quality of life also includes information on the share of the population with unmet needs for medical and/or dental care and a contrasting set of health determinant indicators, on the one hand healthy behaviours such as physical activity or the consumption of fruit and vegetables, and on the other unhealthy behaviours such as smoking or over eating.

Please note that the data on healthy and unhealthy behaviours are collected by the European Health Interview System (EHIS) which is conducted every five years. The latest data available for this report are from 2014.

Full article

Europeans live longer and healthier lives

The term life expectancy at birth refers to the mean number of years a new-born child can expect to live if subjected throughout his or her life to the current mortality conditions. This demographic measure has often been used as a proxy for the state of a nation’s health, partly because it is based on a concept that is simple and easy to understand — namely, that of death (mortality conditions provide information on the age-specific probabilities of dying). Indeed, life expectancy at birth remains one of the most frequently quoted indicators of health status and economic development.

In 2018, life expectancy at birth in the EU-27 averaged 81.0 years. A child born in 2018 in Spain or Italy could expect to live longer than a child born in any of the other EU Member States, as life expectancy at birth in these two countries was above 83 years. By contrast, the lowest levels of life expectancy at birth — at 75.0 years — was recorded in Bulgaria.

In all 27 EU Member States, women may expect to live longer than men, as there was a gender gap of 5.5 years across the EU-27 in 2018, with male life expectancy at birth equal to 78.2 years compared with 83.7 years for women (see Figure 1). This gender gap was most pronounced in EU Member States with some of the lowest levels of life expectancy at birth and in particular the Baltic Member States. For example, in Latvia and Lithuania, women born in 2018 could expect to live nearly 10 years longer than men and in Estonia, almost 9 years longer. By contrast, the gender gap was less than 4 years in Cyprus, Denmark, Ireland, Sweden and the Netherlands, where the smallest gender gap was recorded (3.1 years). It should be noted that these five countries which recorded the smallest differences in life expectancies between the sexes among EU Member States, also recorded a life expectancy at birth higher than the European average for both men and women, with the exception of Denmark where the life expectancy of women was lower than the EU-27 average for this category. In general, the Member States that registered a high average life expectancy at birth, had also a smaller difference in life expectancies between the sexes.

Figure 1: Life expectancy at birth, by sex, 2018
(years)
Source: Eurostat (demo_mlexpec)

Overall, life expectancy has improved steadily within the EU over the last century due to a range of factors, including: reduction of infant mortality, rising living standards, improved lifestyles, better education, as well as advances in healthcare and medicine. During the period from 2008 to 2018, life expectancy at birth in the EU-27 rose from 79.3 years to 81.0 years (see Figure 2).

Among the EU Member States, life expectancy at birth rose by just 0.8 years in Germany between 2008 and 2018 , while the increases in Austria and Sweden (+1.2 and +1.3 years, respectively) were only slightly higher. By contrast, life expectancy at birth was 4.3 years higher in Lithuania in 2018 when compared with 2008, while relatively large increases were also recorded in the other two Baltic Member States, with a gain of 4.1 years in Estonia and 3.0 years in Latvia.

It is also interesting to note that while life expectancy for both men and women continues to rise across the EU-27, male life expectancy was rising at a faster pace than female life expectancy, with the gap between the sexes narrowing as a consequence.

Figure 2: Life expectancy at birth, 2008 and 2018
(years)
Source: Eurostat (demo_mlexpec)

Figure 3, which plots GDP per capita against life expectancy at birth, shows that countries can be broadly divided into three groups: those in the Baltic Member States and eastern Europe, with relatively low life expectancy at birth and relatively low levels of GDP per capita; those in the Mediterranean, with relatively high life expectancy at birth and medium levels of GDP per capita; and those in western Europe and Nordic Member States, with the highest levels of GDP per capita and life expectancy at birth no greater than in the Mediterranean Member States (sometimes even lower).

It is interesting to note that life expectancy at birth in 2018 was higher than the EU-27 average in all of the southern EU Member States, despite some of them having relatively low levels of GDP per capita. For example, life expectancy at birth for a child born in Portugal in 2018 was 81.5 years, which was higher than in Denmark or Germany (both at 81.0 years) (see Figure 3). While it would appear that the advancement of science and the near-universal delivery of healthcare services to populations across the EU seem to be closing the gap in life expectancy between countries, these figures also suggest that economic output is just one of many determinants for health outcomes across the EU; for example, climatic conditions and/or differences in diet may explain, at least to some degree, the higher levels of life expectancy recorded across southern Member States.

Figure 3: Life expectancy at birth and GDP per capita, 2018
Source: Eurostat (nama_10_pc) and (demo_mlexpec)

Gender, age and income-related differences

Women in the EU live longer than men; people that are younger and have a higher income enjoy better health

Although women in the EU may live longer than men, it is not necessarily the case that they enjoy better health. Indeed, it is relatively common to find that men spend a comparatively greater part of their lives in good health. To measure the overall quality of a population’s health it is common to make use of the healthy life years indicator, defined as the number of years a person is expected to continue to live in a healthy condition, which itself may be defined as an individual’s self-declared ability to live without limitations in his/her daily functioning. As such, healthy life years focus on the quality of life spent in a healthy state, rather than a more simple measure covering the full length of life (as for life expectancy). Healthy life years may therefore be seen as an important measure for analysing the relative health of EU populations. Healthy life years are however limited by the fact that the limitations in activity are self-declared, and as such can be influenced by differences in response styles between the sexes or between residents of different countries; for example, it has been shown that women are more prone to report ill health than men.

As such, the difference between life expectancy and healthy life years provides a more nuanced picture of the health of Europeans. Across the whole EU there was almost no difference between men and women in terms of the number of healthy life years they might expect to live: in 2018, the average for women was 64.2 years and for men 63.7 years. While women generally live longer than men, they often spend more of their lives with functioning limitations.

Map 1 shows the gender gap for healthy life years[1] in 2018, with newly-born men more likely to live healthier lives (than women) in several of the western and northern Member States. The difference in favour of men reaches 3.9 years in the Netherlands, 3.4 in Denmark and 3.1 in Finland. By contrast, it was more commonplace to find that women would live longer and healthier lives in most of the eastern and Baltic Member States, with the gap in healthy life years between the sexes peaking at 3.8 years in favour of women in Poland and 3.6 years in Bulgaria.

Map 1: Gender gap for healthy life years at birth, 2018
(years, female healthy life years minus male healthy life years)
Source: Eurostat (hlth_hlye)

Figure 4 presents the share of the population (aged 16 years and over) according to their self-perceived health status. In 2018, more than two thirds (68.6 %) of all adults in the EU-27 declared that they were in good or very good health, compared with less than one tenth (8.5 %) who considered that they were in bad or very bad health. Among the EU Member States, the share of the population aged 16 and over who considered their health to be good or very good ranged from a high of 84.1 % in Ireland and more than three quarters of the adult populations in Cyprus, Greece, Sweden, the Netherlands and Malta, down to less than half of the adult population in Portugal (49.3 %), Latvia (47.0 %) and Lithuania (44.0 %).

Figure 4: Proportion of the population aged 16 and over, by perceived health status, 2018
(%)
Source: Eurostat (hlth_silc_10)

Figure 5 shows that health deteriorates with age: in every EU Member State, the share of the population that considered its health status as bad or very bad increased as a function of age. While an average of 8.5 % of the EU-27 adult population evaluated their own health status as bad or very bad in 2018, this share was as low as 2.6 % among people aged 16-44 years, rising to 8.5 % for people aged 45-64 and peaking at 18.9 % for people aged 65 years and over.

Figure 5: Proportion of the population, by perceived health status and by age group, 2018
(%)
Source: Eurostat (hlth_silc_10)

During the period 2008-2018, the proportion of the EU-27 population aged 65 and over that perceived their own health status as good or very good increased by 7.4 percentage points. There was an increase in the proportion of the elderly population that considered their own health to be good or very good in the vast majority of the EU Member States. During the period under consideration, the biggest gain was recorded in Italy (up 15.1 percentage points), followed by Slovenia and Slovakia (both 11.5 points). There was an improvement in all but one Member State; the only exception, where a smaller share of the elderly population considered their own health to be good or very good in 2018 than in 2008, was Denmark (minus 2.5 p.p.).

Map 2: Change in the proportion of the population aged 65 and over perceiving their health status as good or very good, 2008-2018
(percentage points, 2018 minus 2008)
Source: Eurostat (hlth_silc10)

With regard to long-standing health problems or diseases (see Figure 6), in 2018, around one third (36.0 %) of the EU-27 population reported that they suffered from such problems. Health problems are more prevalent among people with lower incomes: for example, while 29.4 % of the people with the top income (fifth)quintile reported having a long-standing illness or health problem, the equivalent share for the people with the bottom (first) income quintile was as high as 43.2 %. Recent epidemiological research has shown that people with lower incomes, lower levels of educational attainment, or people with manual jobs tend to die younger and to suffer more often from serious health issues.

In 2018, more than half of the population with the lowest income quintile in Estonia, Latvia, Finland, Germany, Czechia, Cyprus, Lithuania, Croatia and Portugal suffered from a long-standing illness or health problem. At the other end of the range, there were three EU Member States where less than 25.0 % of people in the first income quintile suffered from a long-standing illness or health problem: Romania, Greece and Italy (which had the lowest share, at 16.0 %). Turning attention to the top income quintile, Cyprus, France, Portugal, Germany and Finland each reported that more than one third of their highest earners suffered from a long-standing illness or health problem in 2018, with a peak share of 40.3 % in Finland. The lowest shares of people in this income quintile suffering from a long-standing illness or health problem were recorded in Romania (11.3 %), Italy (12.2 %) and Bulgaria (14.1 %).

There were eight EU Member States (Latvia, Lithuania, Ireland, Czechia, Estonia, Belgium, Bulgaria and Croatia) where the share of the population in the first income quintile suffering from a long-standing illness or health problem in 2018 was at least double the share recorded for the fifth income quintile, with this ratio rising to 2.9 times as high in Latvia. This ratio was at its lowest in France, Greece (both at 1.2), Italy and Spain (both at 1.3).

Figure 6: Proportion of the population suffering from a long-standing illness or health problem, by income situation, 2018
(%)
Source: Eurostat (hlth_silc_11)

Access to healthcare provision

Just 1.8 % of the population reported unmet needs for medical care in 2018

Medical examinations and treatment are among the most important aspects of healthcare. It is therefore important that EU populations do not encounter barriers when seeking access to healthcare. In the EU-27, in 2018, just 1.8 % of the population reported unmet needs for medical care (examinations or healthcare provision); the majority of these unmet needs could be linked to the price of care, the distance to medical care being too far away, or waiting lists being too long. Figure 7 shows that among the ‘poorest‘ 20 % of the EU-27 population (the first income quintile), some 3.4 % of the population declared that they had unmet needs for medical care, compared with just 0.7 % of the population in the top income quintile (the ‘richest’ 20 % of the population). There were much wider disparities between income groups in some of the EU Member States. For example, the share of the people with the lowest income quintile in Latvia (12.8 %), Estonia (16.0 %) and Greece (20.6 %) stating that they had unmet medical needs was in double-digits; these figures could be contrasted with shares of less than 1 % for Czechia, Luxembourg (both 0.7 %), the Netherlands (0.6 %), Germany, Malta (both 0.4 %), Austria and Spain (both 0.2 %). The share of the “richest” 20 % of the population stating that they had unmet medical needs ranged from 0.0 % to 3.0 %, except in Slovenia and Estonia with a share of 3.4 % and 14.4 % respectively. It is quite low at 0.8 % also for Greece, signalling a significant difference between the top and the bottom 20 % in this country regarding access to healthcare.

Figure 7: Proportion of the population reporting unmet needs for medical care because care was too expensive, too far away or the waiting list was too long, by income situation, 2018
(%)
Source: Eurostat (hlth_silc_08)

Access to dental healthcare is also an important element that contributes to an individual's quality of life — see Figure 8. Although not usually life-threatening, dental conditions may cause considerable pain and, if left untreated, may have long-term detrimental effects on health and well-being. A higher proportion of the population in the EU Member States stated that they had unmet dental care needs rather than unmet medical needs; this share averaged 3.0 % across the EU-27 in 2018 compared with 1.8 % for unmet medical needs. The only exception to this pattern was Latvia, where it was more common for people to have unmet medical needs.

Across the EU Member States and all income quintiles, more than 1 in 10 Latvians and Portugese stated that they had unmet dental needs in 2018. Barriers to access dental care were considerably higher among the poorest members of society, as more than one fifth of those people in the first income quintile in Latvia and Portugal reported unmet dental needs. In Latvia, there was a very wide disparity between the shares of the people in the top and bottom income quintiles who reported that they had unmet dental needs (3.3 % compared with 26.2 %), while there was also a considerable gap in Portugal (1.4 % compared with 21.9 %). There were several other EU Member States where people with the lowest incomes were much more likely to have unmet dental needs: for example, in Greece and Spain, the share of the lowest income quintile with unmet dental needs was more than 10 percentage points higher than the share recorded for the highest income quintile.

Figure 8: Proportion of the population reporting unmet needs for dental care because care was too expensive, too far away or the waiting list was too long, by income situation, 2018
(%)
Source: Eurostat (hlth_silc_09)

Healthy and unhealthy behaviours

Generally, people with higher incomes engaged to a greater extent in healthy behaviours, such as eating fruit and vegetables, and to a lesser extent in unhealthy ones, such as smoking

This section analyses indicators on the most common and measurable behaviours that influence the health of Europeans.

The term 'overweight' covers people with a Body Mass Index (BMI) that is equal to or greater than 25 but less than 30, while those considered as 'obese' have a BMI that is equal to or greater than 30. Figure 9 shows data on the proportion of the population aged 15 and over who were either overweight or obese - in 2014, this was the case for half (49.7 %) of the EU-27 population. Malta had the highest share among the EU Member States, at 59.6 %, while a majority of the Member States also recorded more than half of their respective populations as being either overweight or obese. There were nine Member States where less than half of the adult population could be considered to be overweight or obese in 2014 and none of these were Baltic or eastern Member States. The lowest shares of adult populations that were overweight or obese were recorded in France (45.5 %) and Italy (43.8 %). An analysis by income quintile reveals that the ‘richest’ 20 % of the EU-27 population were less likely to be overweight or obese than the average for the total population. This pattern was repeated in a majority of the EU Member States and was particularly clear for people in the fifth income quintile where eating habits are thought to be better (for example, this subpopulation find it easier to afford fresh food such as fish, vegetables and fruit). There were, however, four Member States where the share of the population in the fifth income quintile that were overweight or obese was higher than the average for the total population, namely Greece, Poland, Luxembourg and Sweden. By contrast, the share of people in the first income quintile that were overweight or obese fell to 29.2 % in Sweden, some 18.5 percentage points less than the average for the total adult population.

Figure 9: Proportion of people aged 15 and over who were overweight or obese, by income situation, 2014
(%)
Source: Eurostat (hlth_ehis_bm1i)

Tobacco consumption remains the largest avoidable health risk in the EU. It is the most significant cause of premature death, responsible for nearly 700 000 deaths each year, while smokers spend a considerably longer period of their lives in poor health. In 2014, almost one in five adults — defined here as people aged 15 and over — in the EU were daily cigarette smokers (see Figure 10). This share rose to more than one in four of the adult population in Cyprus, Hungary and Greece and peaked at 27.3 % of the adult population in Bulgaria. At the other end of the range, less than 15.0 % of the adult population were daily smokers in Luxembourg, Ireland, Denmark and Finland, with Sweden the only EU Member State to record a single-digit share (8.7 %).

There was a clear relationship between smoking habits and income situations. In all but two of the EU Member States a higher proportion of the ‘poor’ (the first income quintile) compared with the ‘rich’ (the fifth income quintile) were daily smokers in 2014; the only exceptions were Bulgaria and Romania. In Bulgaria, almost one third (32.0 %) of people in the fifth income quintile were daily smokers, while the corresponding share among people in the first income quintile was 29.7 %. In Romania, the proportion of daily smokers was just above one fifth (20.7 %) among people in the fifth income quintile, which was somewhat higher than the share recorded for people in the first income quintile (18.3 %).

In 2014, the share of daily smokers among people in the first income quintile in Denmark, Belgium and Luxembourg was more than twice as high as the share recorded for people in the fifth income quintile. For example, while more than one fifth (21.4 %) of people in the first income quintile in Luxembourg were daily smokers, this share fell to less than one tenth for people in the fifth income quintile (8.3 %).

Figure 10: Proportion of the population aged 15 and over who were daily smokers of cigarettes, by income situation, 2014
(%)
Source: Eurostat (hlth_ehis_sk3i)

Fruit and vegetables are often cited as important components of a healthy diet. High levels of fruit and vegetable consumption — at least five portions a day — are linked to good health and a reduced risk of several diseases (including cardiovascular disease and certain types of cancer). In 2014, the share of the EU-27 adult population who ate at least five portions of fruit and vegetables daily was 11.9 % (see Figure 11). This share ranged across the EU Member States from a high of 28.8 % in Ireland down to less than 10.0 % of the adult population in Germany, Czechia, Sweden, Greece, Slovenia, Austria, Croatia, Bulgaria and Romania (in the latter two, this share fell to less than 5.0 %).

The ‘richest’ members in society tend to have a higher propensity to eat more fruit and vegetables daily. Across the whole of the EU-27, in 2014, some 14.1 % of the people in the fifth income quintile ate at least five portions of fruit and vegetables daily, while the corresponding share for people in the first income quintile was 9.9 %. This pattern was reproduced in all but two of the EU Member States, as Sweden and Slovenia were the only exceptions. By contrast, in the southern Member States of Cyprus, Portugal and Italy it was common to find that almost twice as many adults in the ‘richest’ 20 % of the population (compared with the ‘poorest’ 20 %) stated that they were eating at least five portions of fruit and vegetables daily.

Figure 11: Proportion of the population aged 15 and over who ate at least five portions of fruit and vegetables daily, by income situation, 2014
(%)
Source: Eurostat (hlth_ehis_fv3i)

Increased physical activity may contribute to the reduction of mortality for a range of causes of death and in particular from cardiovascular disease. In 2014, the share of the EU-27 adult population who did aerobic and muscle-strengthening exercises was 12.4 % (see Figure 12). This share ranged from a high of 31.3 % in Sweden and upwards of 25.0 % of the adult populations in Finland, Denmark and Austria, down to less than 10.0 % of the adult population in 13 of the EU Member States, among which there were three — Croatia, Poland and Romania — where less than 5.0 % of the adult population did aerobic and muscle-strengthening exercises.

A much higher share (17.4 %) of the EU-27 adult population with a tertiary level of educational attainment (ISCED levels 5-8) did aerobic and muscle-strengthening exercises when compared with the corresponding share (8.2 %) for people with a low level of educational attainment (ISCED levels 0-2). This pattern was repeated in all but one of the EU Member States, with the only exception being Lithuania, where a slightly higher proportion of people with a low level of educational attainment did aerobic and muscle-strengthening exercise. It was commonplace to find a much higher share of the adult population with a tertiary level of educational attainment doing aerobic and muscle-strengthening exercise. This was particularly true in some of the Member States with the lowest overall levels of participation. For example, adults with a high level of educational attainment were three or more times as likely to do aerobic and muscle-strengthening exercises as adults with a low level of educational attainment in Portugal, Cyprus and Malta, with this ratio almost rising to four times as high in Greece.

Figure 12: Proportion of the population aged 15 and over who did aerobic and muscle-strengthening exercise, by level of educational attainment, 2014
(%)
Source: Eurostat (hlth_ehis_pe9e)

Conclusions

In conclusion, the information available suggests that while the health status of a population may be linked, at least to some degree, to the level of GDP, there are nevertheless other factors beyond the wealth of a country which play a role in determining health outcomes. These include, for example, the effectiveness of national healthcare systems, the quality of healthcare services, inequalities in access to healthcare, environmental factors as well as individual/cultural differences (for example, dietary habits).

Furthermore, aside from (national) wealth being linked with health outcomes, another finding apparent from the information presented in this article is that higher incomes (for individuals) are also associated with better health outcomes; this relationship appears to be quite robust when analysing different income levels, as the middle classes are more healthy than people living at risk of poverty or social exclusion, but the middle classes in turn have worse health outcomes than people with the highest incomes.

Source data for tables and graphs

Data sources

The statistical assessment of health requires both mortality and morbidity-related measures (in other words, information on health outcomes), as well as data on health determinants (drivers) and access to healthcare.

  • Data on health outcomes include information on life expectancy (the number of remaining years a person is expected to live at birth or at a certain age), as well as data on morbidity and health status, including healthy life years or an individual’s self-perceived health. Data on life expectancy are provided from population statistics and are based on administrative records. Healthy life years are estimated using data referring to life expectancy and a question on limitations in activities collected from the EU’s statistics of income and living conditions (EU-SILC) survey. Data on the self-perception of health are also collected as part of EU-SILC.
  • Health determinants (drivers) refer to healthy or unhealthy behaviour of individuals. For the purpose of the framework on quality of life indicators these include unhealthy behaviours such as overeating (reflected in the BMI), daily smoking and hazardous levels of alcohol consumption, or healthy behaviours such as practising physical activities or consuming a certain amount of fruits and vegetables. These indicators are compiled using data from European Health Interview Survey (EHIS).
  • Access to healthcare is gauged by measuring self-reported unmet medical needs (in terms of barriers to access) for medical and dental care; these data are collected as part of EU-SILC.

Context

Health is not only a fundamental determinant of both the length and the quality of people’s lives; it also plays an important role in determining an individual’s other functional capabilities that in turn have an impact on their overall quality of life.

While there has been a general improvement in health conditions and longevity across the EU, this does not exclude potential risks/threats to future health, for example, through changes in the behaviour of the population or the spread of new epidemics. Obesity is of increasing concern in most EU Member States as a cause of premature deaths, while it is also linked to an increase in diseases such as diabetes or heart disease. Furthermore, physical and mental problems, as well as ill health, undermine the quality and may shorten the length of people’s lives; they also inhibit economic and social development at a national level, by reducing human capital. Poor health conditions mean that a significant part of a given population is unable to benefit from the general progress of society, or actively engage in civic activities. Long and healthy lives are therefore not just an overarching personal aim for most people, they may also be considered as an almost universally acceptable measure of societal well-being, for example, they are incorporated in indices that measure the quality of life, such as the United Nations Human Development Index (HDI).

Health is not only a value in itself: rather, it is a European policy goal of the utmost importance. Regulation (EU) No 282/2014 established the third programme for EU action in the field of health covering the period 2014-2020. It underlines the importance of health policy, especially in light of challenges related to demographic change, as well as the need for action to reduce health inequalities as a condition for inclusive growth across the EU. By doing so, the EU has proposed a series of reforms that are designed to: make healthcare services more sustainable and innovative; improve the overall level of health; provide protection from cross-border health threats (for example, epidemics). More information on the state of the health in the EU may be obtained by referring to the website of the European Commission’s Directorate-General for health and food safety.

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People at risk of poverty or social exclusion (Europe 2020 indicators) (t_ilc_pe)
Income distribution and monetary poverty (t_ilc_ip)
Living conditions (t_ilc_lv)
Material deprivation (t_ilc_md)
Demography (t_pop)
Demography - National data (t_demo)
Mortality (t_demo_mor)
Life expectancy at 60 (tps00026)
Infant mortality (tps00027)


Health status (hlth_state)
Healthy life years (hlth_hly)
Self-perceived health and well-being (hlth_sph)
Functional and activity limitations (hlth_fal)
Self-reported chronic morbidity (hlth_srcm)
Injuries from accidents (hlth_ifa)
Health determinants (hlth_det)
Body mass index (BMI) (hlth_bmi)
Physical activity (hlth_pha)
Consumption of fruits and vegetables (hlth_cfv)
Tobacco consumption (hlth_smok)
Alcohol consumption (hlth_alc)
Health care (hlth_care)
Consultations (hlth_consult)
Preventive services (hlth_prev)
Medicine use (hlth_med)
Unmet needs for health care (hlth_unm)
People at risk of poverty or social exclusion (Europe 2020 indicators) (ilc_pe)
Income distribution and monetary poverty (ilc_ip)
Living conditions (ilc_lv)
Material deprivation (ilc_md)
EU SILC ad-hoc modules (ilc_ahm)
Population (demo_pop)
Mortality (demo_mor)
Infant mortality rates (demo_minfind)
Life expectancy by age and sex (demo_mlexpec)

Notes

  1. It should be noted that the information on healthy life years is collected on the basis of people's perception of their own limitations in the daily activities due to one or more health problems. As such, individuals and (sub) populations who are better informed about health issues may report being sick to a greater extent than those who are less well informed. Although women tend to report more negatively when asked to judge their own health, this does not necessarily mean they are unhealthier than men, it could simply reflect greater awareness of their health status.