Bosnia and Herzegovina

General note on the UNECE MDG Database: The database aims to show the official national estimates of MDG-indicators used for monitoring progress towards the Millennium Development Goals. Data is shown alongside official international estimates of MDG-indicators (as published on the official United Nations site for the MDG Indicators: http://unstats.un.org/unsd/mdg). Besides the international MDG-indicators, other indicators and disaggregates that are relevant for the UNECE-region are included. At present, the tables include data from the latest official MDG-report of each country. Currently, data from official dedicated MDG-websites and previous official national MDG-reports are being added. Additionally, more detailed metadata is being added to the footnotes. Additional indicators might be added if they are used generally across the region. Please note that some indicators are also available in the Gender Statistics Database of UNECE. Figures might differ due to the use of different sources. Definition of the indicators: Explanations on the indicators are listed below. Deviations from the standard definitions provided here are specified in the country-specific footnotes. Indicator Under five mortality rate per 1,000 live births Definition: The under-five mortality rate (U5MR) is the probability of a child born in a specified year dying before reaching the age of five if subject to current age-specific mortality rates. Infant mortality rate (0-1 year) per 1,000 live births Definition: The infant mortality rate (IMR) is the probability of a child born in a specified year dying before reaching the age of one, if subject to current age-specific mortality rates. Children 1 year old immunized against measles, (%) Definition: The proportion of 1 year-old children immunized against measles is the percentage of children under one year of age who have received at least one dose of measles-containing vaccine. Breast-fed under 6 months (%) Definition: Number of children under the age of 6 months that are breast-fed as a percentage of all children under the age of 6 months. Perinatal mortality rate Definition: Number of stillbirths (or fetal deaths) and deaths in the first week of life (or early neonatal deaths) per 1,000 total births (live and still births). The perinatal period commences at 22 completed weeks (154 days) of gestation and ends seven. This indicator is not monitored in The official United Nations site for the MDG Indicators. Indicator: Under five mortality rate per 1,000 live births , Country: Albania National Series Reference: 1990 to 1993: MDG Report 2002; 1994 to 1999: MDG Report 2004; 2000: MDG Progress Report 2010; 2001: MDG Report 2004; 2002 to 2009: MDG Progress Report 2010; Definition: 1994 to 1999: Per 1,000 children under the age of five; 2001: Per 1,000 children under the age of five; Note: 2000: NSO: 18.1; Source in Reference: 1990 to 1993: IPH; 1994 to 2001: NSO; 2002 to 2008: Min. of Health; 2009: NSO; Primary Source in Reference: 2000: DHS 2000; 2002 to 2008: Administrative data; 2009: DHS 2008-2009; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Albania National Series Reference: 1990 to 1993: MDG Report 2002; 1994 to 1999: MDG Report 2004; 2000: MDG Progress Report 2010; 2001: MDG Report 2004; 2002 to 2009: MDG Progress Report 2010; Note: 2000: NSO: 16.0; Source in Reference: 1990 to 1993: IPH; 1994 to 2001: NSO; 2002 to 2008: Min. of Health; 2009: NSO; Primary Source in Reference: 2000: DHS 2000; 2002 to 2008: Administrative data; 2009: DHS 2008-2009; Indicator: Children 1 year old immunized against measles, (%) , Country: Albania National Series Reference: 1991 to 2000: MDG Report 2002; 2001: MDG Report 2004; 2002 to 2009: MDG Progress Report 2010; Source in Reference: 1991 to 2000: IPH; 2001: NSO; 2002 to 2009: Min. of Health; Primary Source in Reference: 2002 to 2009: Administrative data; Indicator: Under five mortality rate per 1,000 live births , Country: Armenia National Series Reference: 1990: MDG Progress Report 2005-2009; 1996: ArmeniaInfo at: http://www.armdevinfo.am/ (accessed: 15 June 2011); 1998 to 1999: MDG Progress Report 2005-2009; 2000 to 2009: ArmeniaInfo at: http://www.armdevinfo.am/ (accessed: 15 June 2011); 2010: ArmeniaInfo (http://www.armdevinfo.am/) 2012-05-12; 2011 to 2012: Armenia MDGs Indicators (http://www.armstat.am/) 06/02/2014; Definition: 2010: Per 1,000 children under the age of five; Note: 2001 to 2005: DHS 2005: 30 (2001-2005); 2010: DHS 2010: 16; Reference period: 1998: 1996-2000; Source in Reference: 1996: Min. of Justice; 1998: NSO; 2000 to 2010: Min. of Justice; 2011 to 2012: NSO; Primary Source in Reference: 1990: Administrative data; 1998: DHS 2000; 1999: Administrative data; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Armenia National Series Reference: 1988 to 1990: MDG Progress Report 2005-2009; 1996: ArmeniaInfo at: http://www.armdevinfo.am/ (accessed: 15 June 2011); 1998 to 1999: MDG Progress Report 2005-2009; 2000 to 2009: ArmeniaInfo at: http://www.armdevinfo.am/ (accessed: 15 June 2011); 2010: ArmeniaInfo (http://www.armdevinfo.am/) 2012-05-12; 2011 to 2012: Armenia MDGs Indicators (http://www.armstat.am/) 06/02/2014; Note: 2001 to 2005: DHS 2005: 26 (2001-2005); 2010: DHS 2010: 13; Reference period: 1988: 1986-1990; 1998: 1996-2000; Source in Reference: 1988: NSO; 1996: Min. of Justice; 1998: NSO; 2000 to 2010: Min. of Justice; 2011 to 2012: NSO; Primary Source in Reference: 1988: DHS 2000; 1990: Administrative data; 1998: DHS 2000; 1999: Administrative data; 2011 to 2012: Administrative data; Indicator: Children 1 year old immunized against measles, (%) , Country: Armenia National Series Reference: 1990: MDG Progress Report 2005-2009; 1996: ArmeniaInfo at: http://www.armdevinfo.am/ (accessed: 15 June 2011); 1999: MDG Progress Report 2005-2009; 2000 to 2003: ArmeniaInfo at: http://www.armdevinfo.am/ (accessed: 15 June 2011); 2004: MDG Progress Report 2005-2009; 2005 to 2006: ArmeniaInfo at: http://www.armdevinfo.am/ (accessed: 15 June 2011); 2007 to 2008: MDG Progress Report 2005-2009; 2009: ArmeniaInfo at: http://www.armdevinfo.am/ (accessed: 15 June 2011); 2010: ArmeniaInfo (http://www.armdevinfo.am/) 2012-05-12; 2011 to 2012: Armenia MDGs Indicators (http://www.armstat.am/) 06/02/2014; Definition: 1990 to 2009: Under two-years old; Source in Reference: 1990 to 2009: Min. of Health; 2010: NSO / Min. of Health; 2011 to 2012: NSO; Primary Source in Reference: 1990: Administrative data; 1999: Administrative data; 2004: Administrative data; 2007 to 2008: Administrative data; 2011 to 2012: Administrative data; Indicator: Under five mortality rate per 1,000 live births , Country: Azerbaijan National Series Reference: 1990 to 2012: NSO MDG data; Note: 1999: RHS 1996-2000: 88.4; Source in Reference: 1990 to 2012: NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Azerbaijan National Series Reference: 1990 to 2012: NSO MDG data; Note: 1999: RHS 1996-2000: 74.4; Source in Reference: 1990 to 2012: NSO; Indicator: Children 1 year old immunized against measles, (%) , Country: Azerbaijan National Series Reference: 1990 to 2012: NSO MDG data; Note: 2003 to 2012: Combined vaccination against measles, rubella, epidemic parotiditis; 2000: MICS 2000: 9.4 (under 4 months); 2006: DHS 2006: 74.4; Source in Reference: 1990 to 2002: NSO; 2003 to 2012: Min. of Health; Indicator: Under five mortality rate per 1,000 live births , Country: Belarus National Series Reference: 1990 to 1999: MDG Progress 2005; 2000 to 2009: MDG progress 2010; 2010 to 2011: MDG Report 2012; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Belarus National Series Reference: 1990 to 1999: MDG Progress 2005; 2000 to 2009: MDG progress 2010; 2010 to 2011: MDG Report 2012; Indicator: Children 1 year old immunized against measles, (%) , Country: Belarus National Series Reference: 1990 to 1999: MDG Progress 2005; 2000 to 2009: MDG progress 2010; 2010 to 2011: MDG Report 2012; Indicator: Under five mortality rate per 1,000 live births , Country: Bosnia and Herzegovina National Series Reference: 2000 to 2011: MDG Report 2013; Note: 2000: UN Inter-agency Group for Child Mortality Estimation; 2008 to 2011: UN Inter-agency Group for Child Mortality Estimation; Source in Reference: 2000: UN Inter-agency Group for Child Mortality Estimation; 2007: NSO (BHAS); 2008 to 2011: UN Inter-agency Group for Child Mortality Estimation; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Bosnia and Herzegovina National Series Reference: 2000 to 2012: MDG Report 2013; Source in Reference: 2000 to 2012: NSO (BHAS); Indicator: Children 1 year old immunized against measles, (%) , Country: Bosnia and Herzegovina National Series Reference: 2000 to 2009: MDG progress report 2010; 2011: MDG Report 2013; Note: 2007 to 2009: Only for the territory of the Federation of Bosnia and Herzegovina; Reference period: 2011: 2011/12; Source in Reference: 2000 to 2001: FBiH PHI, RS HP Fund, FBiH SI; 2007 to 2009: FBiH Public Health Institute; Primary Source in Reference: 2007 to 2009: Administrative data; 2011: MICS 2011-12; Indicator: Breast-fed under 6 months (%) , Country: Bosnia and Herzegovina National Series Reference: 2000 to 2006: MDG progress report 2010; 2011: MDG Report 2013; Reference period: 2011: 2011/12; Source in Reference: 2000: FBiH PHI, RS HP Fund, FBiH SI; Primary Source in Reference: 2006: MICS 2006; 2011: MICS 2011-12; Indicator: Under five mortality rate per 1,000 live births , Country: Bulgaria National Series Reference: 2001 to 2007: MDG report 2010; Source in Reference: 2001 to 2007: National Health Information Center / NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Bulgaria National Series Reference: 2001 to 2007: MDG report 2010; Source in Reference: 2001 to 2007: National Health Information Center / NSO; Indicator: Perinatal mortality rate , Country: Bulgaria National Series Reference: 2001 to 2007: MDG report 2010; Definition: 2001 to 2007: After 28 weeks of gestation; Source in Reference: 2001 to 2007: National Health Information Center / NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Croatia National Series Reference: 1990 to 2002: MDG Report 2004; 2004: MDG Progress Report 2005; Note: 1998 to 2002: To mothers who had lived in Croatia for longer than the period of one year; Indicator: Perinatal mortality rate , Country: Croatia National Series Reference: 2002 to 2005: MDG Progress Report 2005; Definition: 2002 to 2005: birth weight >500g; Indicator: Under five mortality rate per 1,000 live births , Country: Czechia National Series Reference: 2002: MDG report 2004; Source in Reference: 2002: Health Yearbook of the Czech Republic 2001; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Czechia National Series Reference: 1990 to 2002: MDG report 2004; Source in Reference: 1990 to 2002: Health Yearbook of the Czech Republic 2001; Indicator: Perinatal mortality rate , Country: Czechia National Series Reference: 1990 to 2002: MDG report 2004; Definition: 1990 to 2002: After 28 weeks of gestation; Source in Reference: 2000 to 2002: Health Yearbook of the Czech Republic 2001; Indicator: Under five mortality rate per 1,000 live births , Country: Georgia National Series Reference: 2000 to 2004: MDG Progress Report 2004-2005; Definition: 2000 to 2001: Number of deaths below age five per 1,000 live births in a calendar year.; Note: 2000 to 2004: Official statistics; Source in Reference: 2000 to 2004: National Center for Disease Control and Medical Statistics; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Georgia National Series Reference: 2000 to 2004: MDG Progress Report 2004-2005; Note: 2000 to 2004: Official statistics; Source in Reference: 2000 to 2004: National Center for Disease Control and Medical Statistics; Indicator: Children 1 year old immunized against measles, (%) , Country: Georgia National Series Reference: 2000 to 2004: MDG Progress Report 2004-2005; Definition: 2000 to 2004: Under two-years old; Source in Reference: 2000: National Center for Disease Control and Medical Statistics; Indicator: Under five mortality rate per 1,000 live births , Country: Hungary National Series Reference: 1990 to 2001: MDG report 2004; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Hungary National Series Reference: 1990 to 2002: MDG report 2004; Source in Reference: 1990 to 2002: NSO; Primary Source in Reference: 1990 to 2002: Hungarian Health Database 1985-2001; Indicator: Under five mortality rate per 1,000 live births , Country: Kazakhstan National Series Reference: 1987 to 1999: MDG in Kazakhstan 2005; 2000 to 2005: Poverty assessment in Kazakhstan: current status and prospects for development; 2006 to 2008: MDG Report 2010; 2009 to 2012: Poverty assessment in Kazakhstan: current status and prospects for development; Definition: 1990 to 1999: Excluding pregnancies that terminate at less than 28 weeks of gestation, and newborns weighing less than 1000 grams at the time of birth, shorter than 35 cm, or alive for less than seven days.; Note: 1990 to 1994: DHS 1995: 56.7; 1995 to 1999: DHS 1999: 71.4; 2006: MICS 2006: 36.3; Reference period: 1990 to 1994: 1989-1994; 1995 to 1999: 1995-1999; Source in Reference: 1990 to 1999: TransMonee; 2000 to 2005: NSO; 2006 to 2008: Min. of Healthcare; 2009 to 2012: NSO; Primary Source in Reference: 2006 to 2008: Administrative data; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Kazakhstan National Series Reference: 1987 to 1999: MDG in Kazakhstan 2005; 2000 to 2001: Poverty assessment in Kazakhstan: current status and prospects for development; 2002: MDG in Kazakhstan 2005; 2003 to 2005: Poverty assessment in Kazakhstan: current status and prospects for development; 2006 to 2007: MDG Report 2010; 2008 to 2012: Poverty assessment in Kazakhstan: current status and prospects for development; Definition: 1990 to 1999: Excluding pregnancies that terminate at less than 28 weeks of gestation, and newborns weighing less than 1000 grams at the time of birth, shorter than 35 cm, or alive for less than seven days.; 2002: Excluding pregnancies that terminate at less than 28 weeks of gestation, and newborns weighing less than 1000 grams at the time of birth, shorter than 35 cm, or alive for less than seven days.; Note: 1990 to 1994: DHS 1995: 49.7; 1995 to 1999: DHS 1999: 61.9; Reference period: 1990 to 1993: 1989-1994; 1994 to 1999: 1995-1999; Source in Reference: 1990 to 1999: Min. of Healthcare; 2000 to 2001: NSO; 2002: Min. of Healthcare; 2003 to 2005: NSO; 2006 to 2007: Min. of Healthcare; 2008 to 2012: NSO; Primary Source in Reference: 2006 to 2007: Administrative data; Indicator: Children 1 year old immunized against measles, (%) , Country: Kazakhstan National Series Reference: 1995: MDG in Kazakhstan 2002; 2000 to 2012: Poverty assessment in Kazakhstan: current status and prospects for development; Source in Reference: 1995: Min. of Healthcare; 2000: NSO; 2001 to 2012: Min. of Health; Indicator: Breast-fed under 6 months (%) , Country: Kazakhstan National Series Reference: 1995 to 2006: MDG Report 2010; Definition: 1995 to 2006: Under 3 months; Source in Reference: 2002: Tazhibayev Sh., Sharmanov T., Ergalieva A., Dolmatova O., Mukasheva O., Seidakhmetova A., Kushenova R. ‘Promotion of Lactation Amenorrhea Method Intervention Trial, Kazakhstan’. Population Council, Frontiers in Reproductive Health 2004; Primary Source in Reference: 1999: DHS 1999; Indicator: Perinatal mortality rate , Country: Kazakhstan National Series Reference: 2008: MDG Report 2010; Definition: 2008: After 22 weeks of gestation; Indicator: Under five mortality rate per 1,000 live births , Country: Kyrgyzstan National Series Reference: 1990 to 1999: NSO MDG database as on 2014-07-08; 2000 to 2009: MDG Progress Report 2010; 2010 to 2012: NSO MDG database as on 2014-07-08; Definition: 1990 to 1999: Excluding pregnancies that terminates at less than 28 weeks of gestation; Source in Reference: 1990 to 2010: NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Kyrgyzstan National Series Reference: 1990 to 1999: NSO MDG database as on 2014-07-08; 2000 to 2009: MDG Progress Report 2010; 2010 to 2012: NSO MDG database as on 2014-07-08; Definition: 1990 to 1999: Excluding pregnancies that terminates at less than 28 weeks of gestation; Source in Reference: 1990 to 1999: NSO / Min. of Health; 2000 to 2009: NSO; 2010: NSO / Min. of Health; Indicator: Children 1 year old immunized against measles, (%) , Country: Kyrgyzstan National Series Reference: 1990 to 1999: NSO MDG database as on 2014-07-08; 2000 to 2009: MDG Progress Report 2010; 2010 to 2012: NSO MDG database as on 2014-07-08; Source in Reference: 1990 to 1999: NSO / Min. of Health; 2000 to 2009: NSO; 2010: NSO / Min. of Health; Indicator: Under five mortality rate per 1,000 live births , Country: Latvia National Series Reference: 1990 to 2003: MDG Report 2005; Definition: 1990 to 2003: Per 1,000 children under the age of five; Source in Reference: 1990 to 2003: NSO / Min. of Health; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Latvia National Series Reference: 1996 to 2003: MDG Report 2005; Source in Reference: 1996 to 2003: NSO / Min. of Health; Indicator: Perinatal mortality rate , Country: Latvia National Series Reference: 1980 to 2003: MDG Report 2005; Definition: 1980 to 2003: After 28 weeks of gestation; Source in Reference: 1980 to 2003: NSO / Min. of Health; Indicator: Under five mortality rate per 1,000 live births , Country: Lithuania National Series Reference: 1990 to 2001: MDG Assessment 2002; Definition: 1990 to 2001: Including live births at least 500 grams weight and 22 weeks gestation; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Lithuania National Series Reference: 1990 to 2001: MDG Assessment 2002; Definition: 1990 to 1991: Excluding pregnancies that terminate at less than 28 weeks of gestation, and newborns weighing less than 1000 grams at the time of birth, shorter than 35 cm, or alive for less than seven days.; 1992 to 2001: Excluding live births weighting less than 500 grams and less than 22 weeks of gestation; Indicator: Children 1 year old immunized against measles, (%) , Country: Lithuania National Series Reference: 2000: MDG Assessment 2002; Indicator: Under five mortality rate per 1,000 live births , Country: Moldova, Republic of National Series Reference: 2000 to 2010: Statbank of the National Bureau of Statistics of the Republic of Moldova as on 08-08-2012; 2011 to 2012: Moldova Statbank (http://statbank.statistica.md) 11-11-2013; Definition: 2000 to 2007: Number of deaths below age five per 1,000 live births. Excluding live births weighting less than 1,000 grams and less than 30 weeks of gestation; 2008 to 2010: Number of deaths below age five per 1,000 live births. Excluding live births weighting less than 500 grams and less than 22 weeks of gestation; 2011 to 2012: Number of deaths below age five per 1,000 live births. Excluding live births weighting less than 1,000 grams and less than 30 weeks of gestation; Note: 2000 to 2012: Information is presented without the data from the left side of the river Nistru and municipality Bender.; Source in Reference: 2000 to 2012: Central Election Commission; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Moldova, Republic of National Series Reference: 2000 to 2010: Statbank of the National Bureau of Statistics of the Republic of Moldova as on 08-08-2012; 2011 to 2012: Moldova Statbank (http://statbank.statistica.md) 11-11-2013; Definition: 2000 to 2007: Excluding live births weighting less than 1,000 grams and less than 30 weeks of gestation; 2008 to 2010: Excluding live births weighting less than 500 grams and less than 22 weeks of gestation; 2011 to 2012: Excluding live births weighting less than 1,000 grams and less than 30 weeks of gestation; Note: 2000 to 2010: Deaths in a given calendar year divided by the size of their birth cohort.; 2000 to 2012: Information is presented without the data from the left side of the river Nistru and municipality Bender.; Source in Reference: 2000 to 2012: Min. of Health / NSO; Indicator: Children 1 year old immunized against measles, (%) , Country: Moldova, Republic of National Series Reference: 2000 to 2005: Statbank of the National Bureau of Statistics of the Republic of Moldova as on 08-08-2012; 2006 to 2012: Third MDG Report 2013; Definition: 2000 to 2012: Under two-years old; Note: 2000 to 2005: Information is presented without the data from the left side of the river Nistru and municipality Bender.; Source in Reference: 2000 to 2005: Min. of Health / NSO; 2006 to 2012: National Centre for Public Health; Indicator: Breast-fed under 6 months (%) , Country: Moldova, Republic of National Series Reference: 2008: MDG Report 2010; Source in Reference: 2008: National Perinatal Program 2008; Indicator: Perinatal mortality rate , Country: Moldova, Republic of National Series Reference: 1990 to 2009: MDG Report 2010; Definition: 1990 to 2009: After 28 weeks of gestation; Indicator: Under five mortality rate per 1,000 live births , Country: Montenegro National Series Reference: 1990 to 2000: MDG report 2005; 2004 to 2008: MDG Report 2010; 2009 to 2011: MDG Report 2013; Source in Reference: 1990 to 2011: NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Montenegro National Series Reference: 1990 to 2000: MDG report 2005; 2004 to 2008: MDG Report 2010; 2009 to 2011: MDG Report 2013; Source in Reference: 1990 to 2011: NSO; Indicator: Children 1 year old immunized against measles, (%) , Country: Montenegro National Series Reference: 1990 to 2000: MDG report 2005; 2004 to 2008: MDG Report 2010; 2009 to 2011: MDG Report 2013; Source in Reference: 1990 to 2000: Report on immuzation against infectious diseases in Montenegro; 2004 to 2008: NSO; Indicator: Breast-fed under 6 months (%) , Country: Montenegro National Series Reference: 2009: MDG Report 2010; Source in Reference: 2009: NSO; Indicator: Under five mortality rate per 1,000 live births , Country: Poland National Series Reference: 1990 to 1999: MDG Report 2002; Source in Reference: 1990: NSO; 1991 to 1998: Demographic Yearbook 2000, NSO; 1999: NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Poland National Series Reference: 1990 to 1999: MDG Report 2002; Source in Reference: 1990 to 1999: Demographic Yearbook 2000, NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Romania National Series Reference: 1990 to 2000: MDG Report 2003; 2001 to 2009: MDG Report 2010; Source in Reference: 1990 to 2000: Min. of Health; 2001 to 2009: NSO; Indicator: Children 1 year old immunized against measles, (%) , Country: Romania National Series Reference: 2001: MDG Report 2003; Source in Reference: 2001: Min. of Health; Indicator: Under five mortality rate per 1,000 live births , Country: Russian Federation National Series Definition: 2003 to 2008: Excluding pregnancies that terminate at less than 28 weeks of gestation, and newborns weighing less than 1000 grams at the time of birth, shorter than 35 cm, or alive for less than seven days.; Source in Reference: 2003 to 2008: WHO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Russian Federation National Series Definition: 2003 to 2009: Excluding pregnancies that terminate at less than 28 weeks of gestation, and newborns weighing less than 1000 grams at the time of birth, shorter than 35 cm, or alive for less than seven days.; Source in Reference: 2003 to 2009: WHO; Indicator: Children 1 year old immunized against measles, (%) , Country: Russian Federation National Series Source in Reference: 2008: WHO; Indicator: Breast-fed under 6 months (%) , Country: Russian Federation National Series Source in Reference: 2008: WHO; Indicator: Under five mortality rate per 1,000 live births , Country: Serbia National Series Reference: 1990 to 1999: MDG Report 2001-2004; 2000: MDG progress report 2009; 2001 to 2002: MDG Report 2001-2004; 2005: MDG report 2006; 2008: MDG progress report 2009; Source in Reference: 1990 to 2002: NSO; 2008: NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Serbia National Series Reference: 1990 to 1999: MDG Report 2001-2004; 2000: MDG progress report 2009; 2001 to 2002: MDG Report 2001-2004; 2005: MDG report 2006; 2008: MDG progress report 2009; Source in Reference: 1990 to 2002: NSO; 2008: NSO; Indicator: Children 1 year old immunized against measles, (%) , Country: Serbia National Series Reference: 1990 to 1999: MDG Report 2001-2004; 2000: MDG progress report 2009; 2001 to 2002: MDG Report 2001-2004; 2008: MDG progress report 2009; Definition: 1990 to 2008: Under 18 months; Source in Reference: 1990 to 1999: NSO; 2000: National Institute of Public Health Database; 2001 to 2002: NSO; 2008: National Institute of Public Health Database; Indicator: Breast-fed under 6 months (%) , Country: Serbia National Series Reference: 2000 to 2005: MDG progress report 2009; Definition: 2000: Under 4 months; Source in Reference: 2000 to 2005: UNICEF; Primary Source in Reference: 2005: MICS 2005; Indicator: Perinatal mortality rate , Country: Serbia National Series Reference: 1990 to 1999: MDG Report 2001-2004; 2000: MDG progress report 2009; 2001 to 2002: MDG Report 2001-2004; 2005: MDG report 2006; 2008: MDG progress report 2009; Definition: 1990 to 2002: After 28 weeks of gestation; 2005: Gestation period not specified; 2008: After 28 weeks of gestation; Source in Reference: 2000: NSO; 2008: NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Slovakia National Series Reference: 1990 to 2002: MDG report 2004; Source in Reference: 1990 to 2002: European Health for All Database, WHO; Indicator: Children 1 year old immunized against measles, (%) , Country: Slovakia National Series Reference: 2002: MDG report 2004; Definition: 2002: Under 18 months; Indicator: Under five mortality rate per 1,000 live births , Country: Slovenia National Series Reference: 1990 to 2001: MDG report 2004; Source in Reference: 1990 to 2001: European Health for All Database, WHO - Health Statistics yearbook 2003; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Slovenia National Series Reference: 1990 to 2001: MDG report 2004; Source in Reference: 1990 to 2001: European Health for All Database, WHO - Health Statistics yearbook 2003; Indicator: Under five mortality rate per 1,000 live births , Country: Tajikistan National Series Reference: 2000: MDG Progress Report 2010; 2003: MDG Needs Assessment 2005; 2005 to 2009: MDG Progress Report 2010; Source in Reference: 2003: UNICEF SOWC; 2007: NSO; Primary Source in Reference: 2000: MICS 2000; 2005: MICS 2005; 2007: LSS 2007; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Tajikistan National Series Reference: 1990 to 1999: MDG Progress Report 2003; 2000: MDG Progress Report 2010; 2001: MDG Progress Report 2003; 2005 to 2009: MDG Progress Report 2010; Source in Reference: 2001: Republican Center of Medical Statistics; 2007: NSO; Primary Source in Reference: 2000: MICS 2000; 2005: MICS 2005; 2007: LSS 2007; Indicator: Children 1 year old immunized against measles, (%) , Country: Tajikistan National Series Reference: 2001 to 2003: NSO MDG data; 2005 to 2008: MDG Progress Report 2010; Primary Source in Reference: 2001: MICS 2000; 2005: MICS 2005; Indicator: Under five mortality rate per 1,000 live births , Country: The former Yugoslav Republic of Macedonia National Series Reference: 1990: MDG report 2005; 1991 to 1996: MDG progress report 2009; 1997: MDG report 2005; 1998 to 2007: MDG progress report 2009; Note: 2004 to 2007: New Methodology; Source in Reference: 1991 to 1996: NSO; 1998 to 2007: NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: The former Yugoslav Republic of Macedonia National Series Reference: 1990 to 2007: MDG progress report 2009; Note: 2004 to 2007: New Methodology; Source in Reference: 1990 to 2007: NSO; Indicator: Children 1 year old immunized against measles, (%) , Country: The former Yugoslav Republic of Macedonia National Series Reference: 1990 to 2007: MDG progress report 2009; Source in Reference: 1990 to 2007: Republic Institute for Health Protection; Indicator: Breast-fed under 6 months (%) , Country: The former Yugoslav Republic of Macedonia National Series Reference: 2007: MDG progress report 2009; Source in Reference: 2007: UNICEF 2007; Primary Source in Reference: 2007: MICS; Indicator: Under five mortality rate per 1,000 live births , Country: Turkey National Series Reference: 1993 to 2008: MDG Report 2010; Reference period: 1998: 1993-1998; 2003: 1998-2003; Source in Reference: 1993 to 2008: Hacettepe University; Primary Source in Reference: 1993: DHS 1993; 1998: DHS 1998; 2003: DHS 2003; 2008: DHS 2008; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Turkey National Series Reference: 1993 to 2008: MDG Report 2010; Reference period: 1998: 1993-1998; 2003: 1998-2003; Source in Reference: 1993 to 2008: Hacettepe University; Primary Source in Reference: 1993: DHS 1993; 1998: DHS 1998; 2003: DHS 2003; 2008: DHS 2008; Indicator: Children 1 year old immunized against measles, (%) , Country: Turkey National Series Reference: 1993 to 2009: MDG Report 2010; Source in Reference: 1993 to 2003: Hacettepe University; 2009: Min. of Health; Primary Source in Reference: 1993: DHS 1993; 1998: DHS 1998; 2003: DHS 2003; 2009: Ministry of Health Registry; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Turkmenistan National Series Reference: 1991 to 2002: MDG Report 2003; Source in Reference: 1991 to 2002: Min. of Health and the Medical Industry; Indicator: Under five mortality rate per 1,000 live births , Country: Ukraine National Series Reference: 1990 to 2000: MDG Report 2005; 2001 to 2009: MDG Report 2010; 2010 to 2012: MDG Report 2013; Definition: 1990 to 2000: Per 1,000 children under the age of five; Source in Reference: 2010 to 2012: NSO; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Ukraine National Series Reference: 1990: MDG Report 2005; 2000 to 2009: MDG Report 2010; 2010 to 2012: MDG Report 2013; Definition: 1990: Per 1,000 children under 1 years old; Source in Reference: 2000 to 2008: NSO; 2010 to 2012: NSO; Indicator: Children 1 year old immunized against measles, (%) , Country: Ukraine National Series Reference: 2008: MDG Report 2010; Indicator: Under five mortality rate per 1,000 live births , Country: Uzbekistan National Series Reference: 1995 to 2000: MDG Report 2006; Reference period: 1995: 1992-1997; 1998: 1996-2000; 2000: 1998-2002; Source in Reference: 1995: Min. of Health / Institute of Obstetrics and Gynecology; 1998: UNICEF; 2000: Min. of Health / Institute of Obstetrics and Gynecology; Primary Source in Reference: 1995: DHS 1996; 1998: MICS 2000; 2000: Uzbekistan Health Examination Survey 2002; Indicator: Infant mortality rate (0-1 year) per 1,000 live births , Country: Uzbekistan National Series Reference: 1995 to 2000: MDG Report 2006; Reference period: 1995: 1992-1997; 1998: 1996-2000; 2000: 1998-2002; Source in Reference: 1995: Min. of Health / Institute of Obstetrics and Gynecology; 1998: UNICEF; 2000: Min. of Health / Institute of Obstetrics and Gynecology; Primary Source in Reference: 1995: DHS 1996; 1998: MICS 2000; 2000: Uzbekistan Health Examination Survey 2002; Indicator: Children 1 year old immunized against measles, (%) , Country: Uzbekistan National Series Reference: 1996 to 2004: MDG Report 2006; Source in Reference: 1996 to 2004: TransMonee;

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

Cost of health consulting services, diagnostics services and clinical procedures in major cities/towns and the public and private healthcare services points in each location.

Sources: The Global Health Security Index and The Center for Systems Science and Engineering at JHU

Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.

Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.

Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.

Data cited at: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2017 (GBD 2017) Health-related Sustainable Development Goals (SDG) Indicators 1990-2030. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors from 1990 to 2017. The United Nations established, in September 2015, the Sustainable Development Goals (SDGs), which specify 17 universal goals, 169 targets, and 232 indicators leading up to 2030. Drawing from GBD 2017, this dataset provides estimates on progress for 41 health-related SDG indicators for 195 countries and territories from 1990 to 2017, and projections, based on past trends, for 2018 to 2030. Estimates are also included for the health-related SDG index, a summary measure of overall performance across the health-related SDGs.

Citation: Global Health Observatory (GHO) Data: https://www.who.int/gho/en/: World Health Organization; 2019. License: CC BY-NC-SA 3.0 IGO   The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.

The Gross Nutrient Balance provides an insight into the links between the use of agricultural nutrients, their losses to the environment, and the sustainable use of soil nutrients resources. It consists of the Gross Nitrogen Balance and the Gross Phosphorus Balance and is intended to be an indicator of the potential threat of surplus or deficit of two important soil and plant nutrients in agricultural land. It shows the link between agricultural activities and the environmental impact, identifying the factors determining the nutrients surplus or deficit and the trends over time. Nitrogen (N) and Phosphorus (P) are key elements for plants to grow. A persistent deficit of these nutrients can lead in the long term to soil degradation and erosion. When N and P are however persistently applied in excess, they can cause surface and groundwater (including drinking water) pollution and eutrophication. The Gross Nitrogen Balance also includes Nitrogenous Emissions from livestock production and the application of manure and fertilizers. These nitrogenous emissions include: - Ammonia (NH3) contributing to acidification, eutrophication and atmospheric particulate pollution), and - Nitrous oxide (N2O), a potent greenhouse gas contributing to global warming. The gross nutrient balance is calculated as the balance between inputs and outputs of nutrients to the agricultural soil. A balance per hectare is also presented. The Inputs are: -         Consumption of Fertilizers, -         Gross Input of Manure, and -         Other Inputs. The Outputs are: -         Removal of nutrients with the harvest of Crops, -         Removal of nutrients through the harvest and grazing of Fodder, and -         Crop Residues removed from the field.    The data presented in the table are calculated from basic data from various data sources multiplied with coefficients to derive the nutrient content. The basic data used include the consumption of inorganic and other organic fertilizers (excluding manure) (tonnes), livestock population (1000 heads), manure imports, withdrawals and stock changes (tonnes), crop and fodder production (tonnes), crop residues removed from the field (tonnes), use of seeds and planting materials planted in the soil (tonnes), area of leguminous crops (1000 ha), area of arable land, land under permanent crops and permanent grassland (1000 ha). Countries may have used different types of data sources for these data. For instance some countries use estimates of the livestock population based on data from the Livestock Surveys or they have used other data sources like national registers on livestock. Data sources that are used and are available in Eurostat include:  Crop Production Statistics (production and landuse), Livestock Statistics (livestock numbers), Farm Structure Survey (livestock numbers). Countries have estimated coefficients based on measurements, scientific research, expert judgment, default values etc.

Health care expenditure quantifies the economic resources dedicated to health functions, excluding capital investment. Healthcare expenditure concerns itself primarily with healthcare goods and services that are consumed by resident units, irrespective of where that consumption takes place (it may be in the rest of the world) or who is paying for it. As such, exports of healthcare goods and services (to non-resident units) are excluded, whereas imports of healthcare goods and services for final use are included. Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing scheme (e.g. social security, private insurance company, household).

Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.

Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The resource-related data refer to both human and technical resources, i.e. they relate to: - 'Health care staff': 'manpower' active in the health care sector (doctors, dentists, nurses, etc.); - 'Health care facilities': technical capacity dimensions (hospital beds, beds in nursing and residential care facilities, etc.). Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on resources are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The resource-related data refer to both human and technical resources, i.e. they relate to: - 'Health care staff': 'manpower' active in the health care sector (doctors, dentists, nurses, etc.); - 'Health care facilities': technical capacity dimensions (hospital beds, beds in nursing and residential care facilities, etc.). Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on resources are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Global Burden of Disease Study 2016 (GBD 2016) Healthcare Access and Quality Index Based on Amenable Mortality 1990–2016. Global Burden of Disease Study 2016 (GBD 2016) estimates were used in an analysis of personal healthcare access and quality for 195 countries and territories, as well as selected subnational locations, over time. This dataset includes the following global, regional, national, and selected subnational estimates for 1990-2016: age-standardized risk-standardized death rates from 24 non-cancer causes considered amenable to healthcare; age-standardized mortality-to-incidence ratios for 8 cancers considered amenable to healthcare; and the Healthcare Access and Quality (HAQ) Index and individual scores for each of the 32 causes on a scale of 0 to 100. Code used to produce the estimates is also included. Results were published in The Lancet in May 2018 in "Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The resource-related data refer to both human and technical resources, i.e. they relate to: - 'Health care staff': 'manpower' active in the health care sector (doctors, dentists, nurses, etc.); - 'Health care facilities': technical capacity dimensions (hospital beds, beds in nursing and residential care facilities, etc.). Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on resources are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The resource-related data refer to both human and technical resources, i.e. they relate to: - 'Health care staff': 'manpower' active in the health care sector (doctors, dentists, nurses, etc.); - 'Health care facilities': technical capacity dimensions (hospital beds, beds in nursing and residential care facilities, etc.). Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on resources are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

The harmonised data on accidents at work are collected in the framework of the European Statistics on Accidents at Work (ESAW), on the basis of a methodology developed in 1990. The data refer to accidents at work resulting in more than 3 days' absence from work (serious accidents) and fatal accidents. A fatal accident is defined as an accident which leads to the death of a victim within one year of the accident. The indicators used are the number and incidence rate of serious and fatal accidents at work. The incidence rate of serious accidents at work is the number of persons involved in accidents at work with more than 3 days' absence per 100,000 persons in employment. The incidence rate of fatal accidents at work is the number of persons with fatal accidents at work per 100,000 persons in employment. The national ESAW sources are the declarations of accidents at work, either to the public (Social Security) or private specific insurance for accidents at work, or to other relevant national authority (Labour Inspection, etc.) for countries having a "universal" Social Security system. For the Netherlands only survey data are available for the non-fatal accidents at work (a special module in the national labour force survey). Sector coverage: In general the private sector is covered by all national reporting systems. However some important sectors are not covered by all Member States. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence rate is calculated for the total of the so-called 9 common branches (See point 3.6). For a structured metadata overview on variables, coverage of sectors and professional status please see also the annex Metadata_overview_2007.Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. For more details, please see the summary methodology (link at the bottom of the page). Geographical coverage: For accidents at work, data are available for all old EU-Member States (EU 15) and Norway. The methodology has also been implemented in the New Member States and Switzerland with first data being available for the reference year 2004.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The resource-related data refer to both human and technical resources, i.e. they relate to: - 'Health care staff': 'manpower' active in the health care sector (doctors, dentists, nurses, etc.); - 'Health care facilities': technical capacity dimensions (hospital beds, beds in nursing and residential care facilities, etc.). Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on resources are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The resource-related data refer to both human and technical resources, i.e. they relate to: - 'Health care staff': 'manpower' active in the health care sector (doctors, dentists, nurses, etc.); - 'Health care facilities': technical capacity dimensions (hospital beds, beds in nursing and residential care facilities, etc.). Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on resources are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Household out-of-pocket payment’ means a direct payment for healthcare goods and services from the household primary income or savings, where the payment is made by the user at the time of the purchase of goods or the use of the services. Data are collected according to Commission Regulation (EC) 2015/359 as regards statistics on healthcare expenditure and financing (System of Health Accounts 2011 manual).

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among Member States (MS) the health status (including disability), health determinants (including environment) and use and limitations in access to health care services of the EU citizens. The general coverage of the survey is the population aged 15 or over living in private households residing in the territory of the country. EHIS was developed between 2003 and 2006. It consists of four modules on health status, health determinants, health care, and background variables. The first wave of EHIS (EHIS wave 1 or EHIS round 2008) was conducted between 2006 and 2009 in 17 EU Member States as well as Switzerland and Turkey. The second wave (EHIS wave 2 or EHIS round 2014) was conducted between 2013 and 2015 in all EU Member States, Iceland and Norway. Some other countries conducted their national health interview surveys using the second wave of EHIS questionnaire such as Turkey or Serbia. EHIS includes the following topics: Health status This topic includes different dimensions of health status and health-related activity limitations: General health status (Minimum European health module): self-perceived health, chronic morbidity and activity limitationDisease-specific morbidityAccidents and injuriesHealth-related absenteeism from workPhysical and sensory functional limitationsDifficulties in personal care activities / activities of daily living (such as eating and washing) and help received/neededHousehold activities / Instrumental activities of daily living (such as preparing meals and shopping) and help received/neededPainAspect of mental health (psychological distress and mental well-being in the first wave, depressive symptoms in the second wave)Work-related health problems (only in the first wave).Health care This topic covers the use of different types of medicines and formal and informal health and social care services, which are complemented by data on health-related expenditure, and limitations in access to and satisfaction with health care services: Hospitalisation (in-patient and day care)Consultations with doctors and dentistsVisits to specific health professionals (such as physiotherapists or psychologists)Use of home care and home help servicesUse of medicines (prescribed and non-prescribed)Healthcare preventive actions (such as influenza vaccination, breast examination, cervical smear test and blood tests)Unmet needs for health careOut-of-pocket payments for medical care (only in the first wave)Satisfaction with services provided by healthcare providers (only in the first wave)Visits to specific categories of alternative medicine practitioners (only in the first wave).Health determinants This topic includes various individual and environmental health determinants: Height and weightPhysical activity/exerciseConsumption of fruits, vegetables and juiceSmoking behaviour and exposure to tobacco smokeAlcohol consumptionSocial supportProvision of informal care or assistance (only in the second wave)Illicit drug use (only in the first wave)Environment (home and workplace exposures, criminality exposure) (only in the first wave).Background variables on demography and socio-economic status. All indicators are expressed as percentages within the population and statistics are broken down by age and sex and one other dimension such as educational attainment level, income quintile group or labour status. Additional breakdowns such as country of birth, country of citizenship, activity limitation are planned to be used.

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The resource-related data refer to both human and technical resources, i.e. they relate to: - 'Health care staff': 'manpower' active in the health care sector (doctors, dentists, nurses, etc.); - 'Health care facilities': technical capacity dimensions (hospital beds, beds in nursing and residential care facilities, etc.). Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on resources are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Data on physicians should refer to those "immediately serving patients", i.e. physicians who have direct contact with patients as consumers of health care services. In the context of comparing health care services across Member States, Eurostat considers that this is the concept which best describes the availability of health care resources. However, Member States use different concepts when they report the number of health care professionals. Therefore, for some countries, the data might include physicians who work in their profession but do not see patients (i.e. they work in research, administration etc.) or refer to physicians "licensed to practice" (i.e. successfully graduated physicians irrespective whether they see patients or not). Please have a look in the annexes of the metadata to see for which concept these data refer to for each country.

Registered studies by ClinicalTrials.gov

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

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’ (all three categories are cumulated). 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). Note on the interpretation: The indicator is derived from self-reported data so it is, to a certain extent, affected by respondents’ subjective perception as well as by their social and cultural background. Another factor playing a role is the different organisation of health care services, be that nationally or locally. All these factors should be taken into account when analysing the data and interpreting the results.

Self-reported unmet needs for medical care concern a person’s own assessment of whether he or she needed examination or treatment for a specific type of health care, but did not have it or did not seek it because of the following three reasons: ‘Financial reasons’, ‘Waiting list’ and ‘Too far to travel’. Medical care refers to individual healthcare services (medical examination or treatment excluding dental care) provided by or under direct supervision of medical doctors or equivalent professions according to national healthcare systems. Data are collected from the European Statistics of Income and Living Condition survey and refer to such needs during the previous 12 months. Data are expressed as percentages within the population aged 16 years old and over living in private households.

The European Statistics of Income and Living Condition (EU-SILC) survey contains a small module on health, composed of 3 variables on health status and 4 variables on unmet needs for health care. The variables on health status represent the so called Minimum European Health Module (MEHM), and measures 3 different concepts of health: Self-perceived healthChronic morbidity (people having a long-standing illness or health problem)Activity limitation – disability (self-perceived long-standing limitations in usual activities due to health problems) The variables on unmet needs for health care targets two broad types of services: medical care and dental care. The variables refer to the respondent's own assessment of whether he or she needed the respective type of examination or treatment, but did not have it and if so what was the main reason of not having it, Eurostat currently disseminates the following indicators for unmet needs: Self-reported unmet needs for medical examination for reasons of barriers of accessSelf-reported unmet needs for medical examination by reasonSelf-reported unmet needs for dental examination by reason All indicators are expressed as percentages within (or share of) the population and breakdowns are given by: sex, age, labour status, educational attainment level, and income quintile group. Data for individual countries are disseminated starting the fourth quarter of year N+1 (where N = year of data collection). EU aggregates and health indicators for all countries (provided that the data is available) for year N are published by the end of February N+2 at the latest.

The European Statistics of Income and Living Condition (EU-SILC) survey contains a small module on health, composed of 3 variables on health status and 4 variables on unmet needs for health care. The variables on health status represent the so called Minimum European Health Module (MEHM), and measures 3 different concepts of health: Self-perceived healthChronic morbidity (people having a long-standing illness or health problem)Activity limitation – disability (self-perceived long-standing limitations in usual activities due to health problems) The variables on unmet needs for health care targets two broad types of services: medical care and dental care. The variables refer to the respondent's own assessment of whether he or she needed the respective type of examination or treatment, but did not have it and if so what was the main reason of not having it, Eurostat currently disseminates the following indicators for unmet needs: Self-reported unmet needs for medical examination for reasons of barriers of accessSelf-reported unmet needs for medical examination by reasonSelf-reported unmet needs for dental examination by reason All indicators are expressed as percentages within (or share of) the population and breakdowns are given by: sex, age, labour status, educational attainment level, and income quintile group. Data for individual countries are disseminated starting the fourth quarter of year N+1 (where N = year of data collection). EU aggregates and health indicators for all countries (provided that the data is available) for year N are published by the end of February N+2 at the latest.

The European Statistics of Income and Living Condition (EU-SILC) survey contains a small module on health, composed of 3 variables on health status and 4 variables on unmet needs for health care. The variables on health status represent the so called Minimum European Health Module (MEHM), and measures 3 different concepts of health: Self-perceived healthChronic morbidity (people having a long-standing illness or health problem)Activity limitation – disability (self-perceived long-standing limitations in usual activities due to health problems) The variables on unmet needs for health care targets two broad types of services: medical care and dental care. The variables refer to the respondent's own assessment of whether he or she needed the respective type of examination or treatment, but did not have it and if so what was the main reason of not having it, Eurostat currently disseminates the following indicators for unmet needs: Self-reported unmet needs for medical examination for reasons of barriers of accessSelf-reported unmet needs for medical examination by reasonSelf-reported unmet needs for dental examination by reason All indicators are expressed as percentages within (or share of) the population and breakdowns are given by: sex, age, labour status, educational attainment level, and income quintile group. Data for individual countries are disseminated starting the fourth quarter of year N+1 (where N = year of data collection). EU aggregates and health indicators for all countries (provided that the data is available) for year N are published by the end of February N+2 at the latest.

The European Statistics of Income and Living Condition (EU-SILC) survey contains a small module on health, composed of 3 variables on health status and 4 variables on unmet needs for health care. The variables on health status represent the so called Minimum European Health Module (MEHM), and measures 3 different concepts of health: Self-perceived healthChronic morbidity (people having a long-standing illness or health problem)Activity limitation – disability (self-perceived long-standing limitations in usual activities due to health problems) The variables on unmet needs for health care targets two broad types of services: medical care and dental care. The variables refer to the respondent's own assessment of whether he or she needed the respective type of examination or treatment, but did not have it and if so what was the main reason of not having it, Eurostat currently disseminates the following indicators for unmet needs: Self-reported unmet needs for medical examination for reasons of barriers of accessSelf-reported unmet needs for medical examination by reasonSelf-reported unmet needs for dental examination by reason All indicators are expressed as percentages within (or share of) the population and breakdowns are given by: sex, age, labour status, educational attainment level, and income quintile group. Data for individual countries are disseminated starting the fourth quarter of year N+1 (where N = year of data collection). EU aggregates and health indicators for all countries (provided that the data is available) for year N are published by the end of February N+2 at the latest.

The European Statistics of Income and Living Condition (EU-SILC) survey contains a small module on health, composed of 3 variables on health status and 4 variables on unmet needs for health care. The variables on health status represent the so called Minimum European Health Module (MEHM), and measures 3 different concepts of health: Self-perceived healthChronic morbidity (people having a long-standing illness or health problem)Activity limitation – disability (self-perceived long-standing limitations in usual activities due to health problems) The variables on unmet needs for health care targets two broad types of services: medical care and dental care. The variables refer to the respondent's own assessment of whether he or she needed the respective type of examination or treatment, but did not have it and if so what was the main reason of not having it, Eurostat currently disseminates the following indicators for unmet needs: Self-reported unmet needs for medical examination for reasons of barriers of accessSelf-reported unmet needs for medical examination by reasonSelf-reported unmet needs for dental examination by reason All indicators are expressed as percentages within (or share of) the population and breakdowns are given by: sex, age, labour status, educational attainment level, and income quintile group. Data for individual countries are disseminated starting the fourth quarter of year N+1 (where N = year of data collection). EU aggregates and health indicators for all countries (provided that the data is available) for year N are published by the end of February N+2 at the latest.

Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The resource-related data refer to both human and technical resources, i.e. they relate to: - 'Health care staff': 'manpower' active in the health care sector (doctors, dentists, nurses, etc.); - 'Health care facilities': technical capacity dimensions (hospital beds, beds in nursing and residential care facilities, etc.). Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on resources are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.

Data cited at Global Health Security Index; October 2019 - https://www.ghsindex.org/wp-content/uploads/2020/04/2019-Global-Health-Security-Index.pdf

This Dataset contains Regional and National level Data.