SDG 3 - Good health and well-being (statistical annex)

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Ensure healthy lives and promote well-being for all at all ages (statistical annex)


Data extracted in May 2019.

Planned article update: June 2020.

Highlights


EU trend of SDG 3 on good health and well-being

This article provides an overview of statistical data on SDG 3 ‘Good health and well-being’ in the European Union (EU). It is based on the set of EU SDG indicators for monitoring of progress towards the UN Sustainable Development Goals (SDGs) in an EU context.

This article is part of a set of statistical articles, which are based on the Eurostat publication ’Sustainable development in the European Union — Monitoring report - 2019 edition’. This report is the third edition of Eurostat’s series of monitoring reports on sustainable development, which provide a quantitative assessment of progress of the EU towards the SDGs in an EU context.

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Life expectancy at birth

Life expectancy at birth evaluation 2019.png

Life expectancy at birth is defined as the mean number of years that a newborn child can expect to live if subjected throughout his or her life to the current mortality conditions (age-specific probabilities of dying). It is a conventional measure of a population’s general health and overall mortality level.

Figure 1: Life expectancy at birth, by sex, EU-28, 2002-2017 (years)
Source: Eurostat (sdg_03_10)


Table 3: Compound annual growth rate (CAGR) of the life expectancy at birth, EU
Source: Eurostat (sdg_03_10)


Figure 2: Life expectancy at birth, by country, 2011 and 2016 (years)
Source: Eurostat (sdg_03_10)

Share of people with good or very good perceived health

People perceiving themselves to be in good or very good health evaluation 2019.png

This indicator is a subjective measure of how people judge their health in general on a scale from ‘very good’ to ‘very bad’. The data stem from EU Statistics on Income and Living Conditions (EU-SILC). Indicators of perceived general health have been found to be a good predictor of people’s future health care use and mortality.

Figure 3: Share of people with good or very good perceived health, by sex, EU-28, 2005-2017 (% of population)
Source: Eurostat (sdg_03_20)


Table 4: Compound annual growth rate (CAGR) of the share of people with good or very good perceived health, EU
Source: Eurostat (sdg_03_20)


Figure 4: Share of people with good or very good perceived health, by country, 2012 and 2017 (% of population aged 16 or over)
Source: Eurostat (sdg_03_20)

Smoking prevalence

Smoking prevalence evaluation 2019.png

This indicator measures the percentage of the population aged 15 years and over who report that they currently smoke boxed cigarettes, cigars, cigarillos or a pipe [1]. It does not include the use of other tobacco products such as electronic cigarettes and snuff. The data are collected through a Eurobarometer survey and are based on self-reported use during face-to-face interviews in people’s homes.

Figure 5: Smoking prevalence, by sex, EU-28, 2006-2017 (% of population aged 15 or over)
Source: European Commission services (sdg_03_30)


Table 5: Compound annual growth rate (CAGR) of the smoking prevalence, EU
Source: Eurostat (sdg_03_30)


Figure 6: Smoking prevalence, by country, 2012 and 2017 (% of population aged 15 or over)
Source: European Commission services (sdg_03_30)

Death rate due to chronic diseases

Death rate due to chronic diseases evaluation 2019.png

The indicator measures the standardised death rate of chronic diseases. Deaths due to chronic diseases are considered premature if they occur before the age of 65. The rate is calculated by dividing the number of people under 65 dying due to a chronic disease by the total population under 65. This value is then weighted with the European Standard Population [2]. Chronic diseases included in the indicator are malignant neoplasms, diabetes mellitus, ischemic heart diseases, cerebrovascular diseases, chronic lower respiratory diseases and chronic liver diseases.

Figure 7: Death rate due to chronic diseases, by sex, EU-28, 2002–2015 (number per 100 000 persons aged less than 65)
Source: Eurostat (sdg_03_40)


Table 6: Compound annual growth rate (CAGR) of the death rate due to chronic diseases, EU
Source: Eurostat (sdg_03_40)


Figure 8: Death rate due to chronic diseases, by country, 2010 and 2015 (number per 100 000 persons aged less than 65)
Source: Eurostat (sdg_03_40)

Death rate due to tuberculosis, HIV and hepatitis

Death rate due to tuberculosis, HIV and hepatitis evaluation 2019.png

This indicator measures the standardised death rate of selected communicable diseases. The rate is calculated by dividing the number of people dying due to tuberculosis, HIV and hepatitis by the total population. This value is then weighted with the European Standard Population [3].

Figure 9: Death rate due to tuberculosis, HIV and hepatitis, by sex, EU-28, 2002–2015 (number per 100 000 persons)
Source: Eurostat (sdg_03_41)


Table 7: Compound annual growth rate (CAGR) of the death rate due to tuberculosis, HIV and hepatitis, EU
Source: Eurostat (sdg_03_41)


Figure 10: Death rate due to tuberculosis, HIV and hepatitis, by country, 2010 and 2015 (number per 100 000 persons)
Source: Eurostat (sdg_03_41)

Self-reported unmet need for medical care

Self-reported unmet need for medical care evaluation 2018.PNG

The indicator measures the share of the population aged 16 and over reporting unmet needs for medical care due to one of the following reasons: ‘financial reasons’, ‘waiting list’ and ‘too far to travel’. Self-reported unmet needs concern a person’s own assessment of whether he or she needed medical examination or treatment (dental care excluded), but did not have it or did not seek it. The data stem from the EU Statistics on Income and Living Conditions (EU-SILC). Since social norms and expectations may affect responses to questions about unmet care needs, caution is required when comparing differences in the reporting of unmet medical examination across countries [4]. In addition, the different organisation of healthcare services is another factor to consider when analysing the data. Finally, there are also some variations in the survey question across countries and across time [5].

Figure 11: Self-reported unmet need for medical care, by sex, EU-28, 2008-2017 (% of population aged 16 or over)
Source: Eurostat (sdg_03_60)


Table 8: Compound annual growth rate (CAGR) of the self-reported unmet need for medical care, EU
Source: Eurostat (sdg_03_60)


Figure 12: Self-reported unmet need for medical care, by country, 2012 and 2017 (% of population aged 16 or over)
Source: Eurostat (sdg_03_60)
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More detailed information on EU SDG indicators for monitoring of progress towards the UN Sustainable Development Goals (SDGs), such as indicator relevance, definitions, methodological notes, background and potential linkages, can be found in the introduction of the publication ’Sustainable development in the European Union — Monitoring report - 2019 edition’.

Notes

  1. European Commission (2017), Attitudes of Europeans towards tobacco and electronic cigarettes, Special Eurobarometer 458, Annex.
  2. Standardised death rates take into account the fact that countries with larger shares of older inhabitants also have higher death rates. See also: Eurostat (2013), Revision of the European Standard Population, Report for Eurostat’s Task Force, Publications Office of the European Union, Luxembourg.
  3. Standardised death rates take into account the fact that countries with larger shares of older inhabitants also have higher death rates. See also: Eurostat (2013), Revision of the European Standard Population, Report for Eurostat’s Task Force, Publications Office of the European Union, Luxembourg.
  4. OECD/EU (2018), Health at a Glance: Europe 2018 — State of Health in the EU Cycle, OECD Publishing, Paris, p. 170.
  5. OECD/EU (2018), Health at a Glance: Europe 2018 — State of Health in the EU Cycle, OECD Publishing, Paris, p. 170.