Турция

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.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

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 European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

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.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Demographic and Health Surveys 1996-2002

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 European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards

Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards

The country statistical profiles provide a broad selection of indicators, illustrating the demographic, economic, environmental and social developments, for all OECD members. The dataset also covers the five key partner economies with which the OECD has developed an enhanced engagement program with (Brazil, China, India, Indonesia and South Africa) ,accession countries (Colombia, Costa Rica and Lithuania) , Peru and the Russian Federation. The user can easily compare indicators across all countries. Total fertility rates - Unit of measure used: Number of children born to women aged 15 to 49

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.

Hospital beds provide information on health care capacities, i.e. on the maximum number of patients who can be treated by hospitals. Curative care (or acute care) beds in hospitals are beds that are available for curative care. These beds are a subgroup of total hospital beds which are defined as all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients; both occupied and unoccupied beds are covered. Hospitals are defined according to the classification of health care providers of the System of Health Accounts (SHA); all public and private hospitals should be covered.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Financing Global Health 2015 is the seventh edition of IHME’s annual series on global health financing. This report captures trends in development assistance for health (DAH) and government health expenditure as source (GHE-S) in low- and middle-income countries. Annually updated GHE-S and DAH estimates are produced to aid decision-makers and other global health stakeholders in identifying funding gaps and investment opportunities vital to improving population health. This year, IHME made a number of improvements to the data collection and methods implemented to generate Financing Global Health estimates.

A hospital discharge is the formal release of a patient from a hospital after a procedure or course of treatment. A discharge occurs whenever a patient leaves because of finalisation of treatment, signs out against medical advice, transfers to another health care institution or on death. An in-patient is a patient who is formally admitted (or 'hospitalised') to an institution for treatment and/or care and stays for a minimum of one night or more than 24 hours in the hospital or other institution providing in-patient care. The number of discharges is the most commonly used measure of the utilisation of hospital services. Discharges, rather than admissions, are used because hospital abstracts for in-patient care are based on information gathered at the time of discharge. Diagnostic chapters (using principal diagnosis) have been defined according to the International Classification of Diseases (ICD).

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.

IHME research, published in the Lancet in 2008. The study, Tracking progress towards universal childhood immunizations and the impact of global initiatives, provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination. The estimates take into account all publicly available data, including data from routine reporting systems and nationally representative surveys.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

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.

OECD Factbook provides a global overview of today's major economic, social and environmental indicators which cover a wide range of areas: agriculture, economic production, education, energy, environment, foreign aid, health, industry, information and communications, international trade, labor force, population, taxation, public expenditure and R&D. More countries than ever are covered in greater detail, enabling direct comparisons for many indicators between OECD Members and Brazil, China, India, Indonesia, Russian Federation and South Africa.

Not applicable

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

In 2008, National Institute for Health and Welfare brought into use a new national system of accounting health expenditure and financing that is based on the OECD System of Health Accounts (SHA). The SHA system gathers data by function, provider and source of finance.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

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

Over the past decade or more, there have been several efforts to find out which are the world’s best-performing healthcare systems. The pioneer was the World Health Organisation (WHO), which used its annual World Health Report in 2000 to perform a systematic global analysis. The work that The Economist Intelligence Unit has previously carried out in the area of value-based healthcare has made it clear that value is a vexed term

OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.

OECD Health Data 2013 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.

OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.B1:B4

OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.

OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.

OECD Health Data 2010 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.

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 World Bank Health Nutrition and Population Statistics Provides key health, nutrition and population statistics gathered from a variety of international sources. Themes include population dynamics, nutrition, reproductive health, health financing, medical resources and usage, immunization, infectious diseases, HIV/AIDS, DALY, population projections and lending. HNPStats also includes health, nutrition and population statistics by wealth quintiles.

This dataset provides HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).

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.

ClinicalTrials.gov currently lists 246,957 studies with locations in all 50 States and in 201 countries. As of February 2017, ClinicalTrials.gov receives an average of more than 199 million page views per month and 76,000 unique visitors daily.

We know people are living longer. However, do we live longer and better or do we gain only years of life in bad health? The indicator of healthy life years (HLY) measures the number of remaining years that a person of specific age is expected to live without any severe or moderate health problems. The notion of health problem for Eurostat's HLY is reflecting a disability dimension and is based on a self-perceived question which aims to measure the extent of any limitations, for at least six months, because of a health problem that may have affected respondents as regards activities they usually do (the so-called GALI - Global Activity Limitation Instrument foreseen in the annual EU-SILC survey). The indicator is therefor also called disability-free life expectancy (DFLE). So, HLY is a composite indicator that combines mortality data with health status data. HLY also monitor health as a productive or economic factor. An increase in healthy life years is one of the main goals for European health policy. And it would not only improve the situation of individuals but also result in lower levels of public health care expenditure. If healthy life years are increasing more rapidly than life expectancy, it means that people are living more years in better health. Please note that a revision took place in March 2012: the whole series 2004-2010 were recalculated taking into account:the use of the age at interview for the GALI prevalences instead of the age of the income period (as it is traditionally done for many income and living indicators); differences with the previous calculations on outcomes and trends are minimalthe latest versions of the EU-SILC and Mortality data

The indicator Healthy Life Years (HLY) at birth measures the number of years that a person at birth is still expected to live in a healthy condition. HLY is a health expectancy indicator which combines information on mortality and morbidity. The data required are the age-specific prevalence (proportions) of the population in healthy and unhealthy conditions and age-specific mortality information. A healthy condition is defined by the absence of limitations in functioning/disability. The indicator is calculated separately for males and females. The indicator is also called disability-free life expectancy (DFLE). Life expectancy at birth is defined as the mean number of years still to be lived by a person at birth, if subjected throughout the rest of his or her life to the current mortality conditions.

Hospital beds provide information on health care capacities, i.e. on the maximum number of patients who can be treated by hospitals. Total hospital beds are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients; both occupied and unoccupied beds are covered. Hospitals are defined according to the classification of health care providers of the System of Health Accounts (SHA); all public and private hospitals should be covered.

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.

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.

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.

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.

Eurostat Dataset Id:hlth_co_disch4f 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.

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.

Eurostat Dataset Id:hlth_co_disch3f 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.

Eurostat Dataset Id:hlth_co_disch2f 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.

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.

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.

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.

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.

Eurostat Dataset Id:hlth_co_disch3m 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 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 Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.

IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.

IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.

IHME results from paper, Public financing of health in developing countries: a cross-national systematic analysis published in The Lancet in April 2010. This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.

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.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

Within the last 3 months before the survey. Information about health includes: injury, disease, nutrition, improving health, etc.

Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. ICT usage data are also used in the Consumer Conditions Scoreboard (purchases over the Internet) and in the Employment Guidelines (e-skills of individuals). The aim of the European ICT surveys is the timely provision of statistics on individuals and households on the use of Information and Communication Technologies at European level. Data for this collection are supplied directly from the surveys with no separate treatment. Coverage: The characteristics to be provided are drawn from the following list of subjects: access to and use of ICTs by individuals and/or in households,use of the Internet and other electronic networks for different purposes by individuals and/or in households,ICT security and trust,ICT competence and skills,barriers to the use of ICT and the Internet,perceived effects of ICT usage on individuals and/or on households,use of ICT by individuals to exchange information and services with governments and public administrations (e-government),access to and use of technologies enabling connection to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns (see details of available breakdowns): Relating to households: by region of residence (NUTS 1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area) by type of householdby households net monthly income (optional) Relating to individuals: by region of residence (NUTS1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation: (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area)by genderby country of birth, country of citizenship (as of 2010, optional in 2010)by educational level: ISCED 1997 up to 2013 and ISCED 2011 from 2014 onwards.by occupation: manual, non-manual; ICT (coded by 2-digit ISCO categories)/non-ICT (optional: all 2-digit ISCO categories)by employment situationby age (in completed years and by groups)legal / de facto marital status (2011-2014, optional) Regional breakdowns (NUTS) are available only for a selection of indicators disseminated in the regional tables in Eurobase (Regional Information society statistics by NUTS regions (isoc_reg): Households with access to the internet at homeHouseholds with broadband accessIndividuals who have never used a computerIndividuals who used the internet, frequency of use and activitiesIndividuals who used the internet for interaction with public authoritiesIndividuals who ordered goods or services over the internet for private useIndividuals who accessed the internet away from home or work

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).

Eurostat Dataset Id:yth_hlth_050 The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status:Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being)   Health care:Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form)   Health determinants:Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form).   The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it:2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK.   Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines.   The indicators present distribution percentages and are calculated with different breakdown according to the indicator:sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles.   For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators.   Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations:the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

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.

Eurostat Dataset Id:hlth_co_inpstf 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.

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.

Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).

Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

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.

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.

Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.  

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.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

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 European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.

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.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

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 MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

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.

This indicator is defined as the share of the population aged 16 and over reporting a long-standing (chronic) illness or health problem. 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.

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 Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

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.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

Eurostat Dataset Id:hsw_ac4 This data collection, based on the Labour Force Survey 2007 ad-hoc module, provides data on the occurrence of accidents at work, work-related health problems and hazardous exposure. In particular this collection aims:to know the number of cases and days lost because of accidents at work and the number of cases and days lost because of non-accidental work-related health problems;  to analyse the differences in the occurrence of these accidents and health problems by factors linked to the employment characteristics of the worker and factors linked to the employer's characteristics;  to know about the occurrence of factors at work that can adversely affect health. The LFS 2007 module gives additional value compared to the administrative data collection ESAW (European statistics at work) by:including the "less serious" accidents (less than four days of absence from work);  analysing the occurrence of accidents at work by the LFS core variables;  enabling a comparison to estimate the reporting levels in ESAW;  specifying the occurrence of accidents not so well covered in ESAW. The LFS 2007 module gives additional value compared to the administrative data on occupational diseases by:specifying the frequency of diseases caused by work or made worse by work, irrespectively if the disease is recognised or not as an occupational disease;  specifying the frequency of new emerging types of work-related diseases which are not included in the administrative lists of occupational diseases (especially musculoskeletal and psychosocial health problems);  estimating the burden of work-related diseases in terms of absence from work;  analysing the occurrence of work-related diseases by the LFS core variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

Eurostat Dataset Id:hsw_pb8 This data collection, based on the Labour Force Survey 2007 ad-hoc module, provides data on the occurrence of accidents at work, work-related health problems and hazardous exposure. In particular this collection aims:to know the number of cases and days lost because of accidents at work and the number of cases and days lost because of non-accidental work-related health problems;  to analyse the differences in the occurrence of these accidents and health problems by factors linked to the employment characteristics of the worker and factors linked to the employer's characteristics;  to know about the occurrence of factors at work that can adversely affect health. The LFS 2007 module gives additional value compared to the administrative data collection ESAW (European statistics at work) by:including the "less serious" accidents (less than four days of absence from work);  analysing the occurrence of accidents at work by the LFS core variables;  enabling a comparison to estimate the reporting levels in ESAW;  specifying the occurrence of accidents not so well covered in ESAW. The LFS 2007 module gives additional value compared to the administrative data on occupational diseases by:specifying the frequency of diseases caused by work or made worse by work, irrespectively if the disease is recognised or not as an occupational disease;  specifying the frequency of new emerging types of work-related diseases which are not included in the administrative lists of occupational diseases (especially musculoskeletal and psychosocial health problems);  estimating the burden of work-related diseases in terms of absence from work;  analysing the occurrence of work-related diseases by the LFS core variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

Eurostat Dataset Id:hsw_pb4 This data collection, based on the Labour Force Survey 2007 ad-hoc module, provides data on the occurrence of accidents at work, work-related health problems and hazardous exposure. In particular this collection aims:to know the number of cases and days lost because of accidents at work and the number of cases and days lost because of non-accidental work-related health problems;  to analyse the differences in the occurrence of these accidents and health problems by factors linked to the employment characteristics of the worker and factors linked to the employer's characteristics;  to know about the occurrence of factors at work that can adversely affect health. The LFS 2007 module gives additional value compared to the administrative data collection ESAW (European statistics at work) by:including the "less serious" accidents (less than four days of absence from work);  analysing the occurrence of accidents at work by the LFS core variables;  enabling a comparison to estimate the reporting levels in ESAW;  specifying the occurrence of accidents not so well covered in ESAW. The LFS 2007 module gives additional value compared to the administrative data on occupational diseases by:specifying the frequency of diseases caused by work or made worse by work, irrespectively if the disease is recognised or not as an occupational disease;  specifying the frequency of new emerging types of work-related diseases which are not included in the administrative lists of occupational diseases (especially musculoskeletal and psychosocial health problems);  estimating the burden of work-related diseases in terms of absence from work;  analysing the occurrence of work-related diseases by the LFS core variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

Eurostat Dataset Id:hsw_pb2 This data collection, based on the Labour Force Survey 2007 ad-hoc module, provides data on the occurrence of accidents at work, work-related health problems and hazardous exposure. In particular this collection aims:to know the number of cases and days lost because of accidents at work and the number of cases and days lost because of non-accidental work-related health problems;  to analyse the differences in the occurrence of these accidents and health problems by factors linked to the employment characteristics of the worker and factors linked to the employer's characteristics;  to know about the occurrence of factors at work that can adversely affect health. The LFS 2007 module gives additional value compared to the administrative data collection ESAW (European statistics at work) by:including the "less serious" accidents (less than four days of absence from work);  analysing the occurrence of accidents at work by the LFS core variables;  enabling a comparison to estimate the reporting levels in ESAW;  specifying the occurrence of accidents not so well covered in ESAW. The LFS 2007 module gives additional value compared to the administrative data on occupational diseases by:specifying the frequency of diseases caused by work or made worse by work, irrespectively if the disease is recognised or not as an occupational disease;  specifying the frequency of new emerging types of work-related diseases which are not included in the administrative lists of occupational diseases (especially musculoskeletal and psychosocial health problems);  estimating the burden of work-related diseases in terms of absence from work;  analysing the occurrence of work-related diseases by the LFS core variables.

Eurostat Dataset Id:hsw_ac11 This data collection, based on the Labour Force Survey 2007 ad-hoc module, provides data on the occurrence of accidents at work, work-related health problems and hazardous exposure. In particular this collection aims:to know the number of cases and days lost because of accidents at work and the number of cases and days lost because of non-accidental work-related health problems;  to analyse the differences in the occurrence of these accidents and health problems by factors linked to the employment characteristics of the worker and factors linked to the employer's characteristics;  to know about the occurrence of factors at work that can adversely affect health. The LFS 2007 module gives additional value compared to the administrative data collection ESAW (European statistics at work) by:including the "less serious" accidents (less than four days of absence from work);  analysing the occurrence of accidents at work by the LFS core variables;  enabling a comparison to estimate the reporting levels in ESAW;  specifying the occurrence of accidents not so well covered in ESAW. The LFS 2007 module gives additional value compared to the administrative data on occupational diseases by:specifying the frequency of diseases caused by work or made worse by work, irrespectively if the disease is recognised or not as an occupational disease;  specifying the frequency of new emerging types of work-related diseases which are not included in the administrative lists of occupational diseases (especially musculoskeletal and psychosocial health problems);  estimating the burden of work-related diseases in terms of absence from work;  analysing the occurrence of work-related diseases by the LFS core variables.

Eurostat Dataset Id:hsw_ac10 This data collection, based on the Labour Force Survey 2007 ad-hoc module, provides data on the occurrence of accidents at work, work-related health problems and hazardous exposure. In particular this collection aims:to know the number of cases and days lost because of accidents at work and the number of cases and days lost because of non-accidental work-related health problems;  to analyse the differences in the occurrence of these accidents and health problems by factors linked to the employment characteristics of the worker and factors linked to the employer's characteristics;  to know about the occurrence of factors at work that can adversely affect health. The LFS 2007 module gives additional value compared to the administrative data collection ESAW (European statistics at work) by:including the "less serious" accidents (less than four days of absence from work);  analysing the occurrence of accidents at work by the LFS core variables;  enabling a comparison to estimate the reporting levels in ESAW;  specifying the occurrence of accidents not so well covered in ESAW. The LFS 2007 module gives additional value compared to the administrative data on occupational diseases by:specifying the frequency of diseases caused by work or made worse by work, irrespectively if the disease is recognised or not as an occupational disease;  specifying the frequency of new emerging types of work-related diseases which are not included in the administrative lists of occupational diseases (especially musculoskeletal and psychosocial health problems);  estimating the burden of work-related diseases in terms of absence from work;  analysing the occurrence of work-related diseases by the LFS core variables.

Eurostat Dataset Id:hsw_ac8 This data collection, based on the Labour Force Survey 2007 ad-hoc module, provides data on the occurrence of accidents at work, work-related health problems and hazardous exposure. In particular this collection aims:to know the number of cases and days lost because of accidents at work and the number of cases and days lost because of non-accidental work-related health problems;  to analyse the differences in the occurrence of these accidents and health problems by factors linked to the employment characteristics of the worker and factors linked to the employer's characteristics;  to know about the occurrence of factors at work that can adversely affect health. The LFS 2007 module gives additional value compared to the administrative data collection ESAW (European statistics at work) by:including the "less serious" accidents (less than four days of absence from work);  analysing the occurrence of accidents at work by the LFS core variables;  enabling a comparison to estimate the reporting levels in ESAW;  specifying the occurrence of accidents not so well covered in ESAW. The LFS 2007 module gives additional value compared to the administrative data on occupational diseases by:specifying the frequency of diseases caused by work or made worse by work, irrespectively if the disease is recognised or not as an occupational disease;  specifying the frequency of new emerging types of work-related diseases which are not included in the administrative lists of occupational diseases (especially musculoskeletal and psychosocial health problems);  estimating the burden of work-related diseases in terms of absence from work;  analysing the occurrence of work-related diseases by the LFS core variables.

Eurostat Dataset Id:hsw_ac9 This data collection, based on the Labour Force Survey 2007 ad-hoc module, provides data on the occurrence of accidents at work, work-related health problems and hazardous exposure. In particular this collection aims:to know the number of cases and days lost because of accidents at work and the number of cases and days lost because of non-accidental work-related health problems;  to analyse the differences in the occurrence of these accidents and health problems by factors linked to the employment characteristics of the worker and factors linked to the employer's characteristics;  to know about the occurrence of factors at work that can adversely affect health. The LFS 2007 module gives additional value compared to the administrative data collection ESAW (European statistics at work) by:including the "less serious" accidents (less than four days of absence from work);  analysing the occurrence of accidents at work by the LFS core variables;  enabling a comparison to estimate the reporting levels in ESAW;  specifying the occurrence of accidents not so well covered in ESAW. The LFS 2007 module gives additional value compared to the administrative data on occupational diseases by:specifying the frequency of diseases caused by work or made worse by work, irrespectively if the disease is recognised or not as an occupational disease;  specifying the frequency of new emerging types of work-related diseases which are not included in the administrative lists of occupational diseases (especially musculoskeletal and psychosocial health problems);  estimating the burden of work-related diseases in terms of absence from work;  analysing the occurrence of work-related diseases by the LFS core variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

Eurostat Dataset Id:hsw_ac2 This data collection, based on the Labour Force Survey 2007 ad-hoc module, provides data on the occurrence of accidents at work, work-related health problems and hazardous exposure. In particular this collection aims:to know the number of cases and days lost because of accidents at work and the number of cases and days lost because of non-accidental work-related health problems;  to analyse the differences in the occurrence of these accidents and health problems by factors linked to the employment characteristics of the worker and factors linked to the employer's characteristics;  to know about the occurrence of factors at work that can adversely affect health. The LFS 2007 module gives additional value compared to the administrative data collection ESAW (European statistics at work) by:including the "less serious" accidents (less than four days of absence from work);  analysing the occurrence of accidents at work by the LFS core variables;  enabling a comparison to estimate the reporting levels in ESAW;  specifying the occurrence of accidents not so well covered in ESAW. The LFS 2007 module gives additional value compared to the administrative data on occupational diseases by:specifying the frequency of diseases caused by work or made worse by work, irrespectively if the disease is recognised or not as an occupational disease;  specifying the frequency of new emerging types of work-related diseases which are not included in the administrative lists of occupational diseases (especially musculoskeletal and psychosocial health problems);  estimating the burden of work-related diseases in terms of absence from work;  analysing the occurrence of work-related diseases by the LFS core variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on: the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics of the employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value: providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

This data collection is based on the two Labour Force Survey ad-hoc modules (LFS AHMs) carried out in 2007 and 2013, and provides information on:the number of employed persons who had one or more accidents at work resulting in injuries and which occurred in the last 12 months before the survey;the number of employed persons having had one or more work-related physical or mental health problems in the 12 months before the survey which were caused or made worse by work apart from the previously mentioned accidents at work;the type of the most serious work-related health problem caused or made worse by work;the exposure at work to certain risk factor(s) that can affect physical health or mental well-being. In addition, the data published on the Eurostat website provides information on certain characteristics ofthe employed person: sex, age, educational attainment level, occupation, employment status, full/part-time work, atypical working hours and the job done when the most recent accident at work resulting in injury occurred (main, second, last job etc.);the enterprise or other employer: area of economic activity (according to the NACE classification of economic activities in the European Union) and the sizes of the enterprises;the accident: whether the accident was a road traffic accident or not, and the period off work because of the accident;whether the most serious health problem caused of made worse by work limits the ability to carry out day to day activities either at work or outside work. Compared with the administrative data collection ESAW (European Statistics of Accidents at Work), the LFS AHMs 2007 and 2013 give the following additional value:providing information about accidents with less than four days of absence from work, as well as more information about the occurrence of road traffic accidents;including information about work-related health problems and risk factors for physical health and mental well-being;enabling the analysis of accidents and work-related health problems by LFS core variables;enabling a comparison of reporting levels between Member States, economic sectors and other variables.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

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.

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.

Population by level of Body Mass Index, ages and Sex

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with: Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results: Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

Hospital beds provide information on health care capacities, i.e. on the maximum number of patients who can be treated by hospitals. Psychiatric care beds in hospitals are beds accommodating patients with mental health problems. These beds are a subgroup of total hospital beds which are defined as all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients; both occupied and unoccupied beds are covered. Hospitals are defined according to the classification of health care providers of the System of Health Accounts (SHA); all public and private hospitals should be covered.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

Eurostat Dataset Id:yth_hlth_040 The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status:Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being)   Health care:Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form)   Health determinants:Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form).   The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it:2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK.   Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines.   The indicators present distribution percentages and are calculated with different breakdown according to the indicator:sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles.   For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators.   Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations:the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The Regional well-being dataset presents eleven dimensions central for well-being at local level and for 395 OECD regions, covering material conditions (income, jobs and housing), quality of life (education, health, environment, safety and access to services) and subjective well-being (social network support and life satisfaction). The set of indicators selected to measure these dimensions is a combination of people's individual attributes and their local conditions, and in most cases, are available over two different years (2000 and 2014). Regions can be easily visualised and compared to other regions through the interactive website [www.oecdregionalwellbeing.org]. The dataset, the website and the publications "Regions at a Glance" and "How’s life in your region?" are outputs designed from the framework for regional and local well-being.The Regional income distribution dataset presents comparable data on sub-national differences in income inequality and poverty for OECD countries. The data by region provide information on income distribution within regions (Gini coefficients and income quintiles), and relative income poverty (with poverty thresholds set in respect of the national population) for 2013. These new data complement international assessments of differences across regions in living conditions by documenting how household income is distributed within regions and how many people are poor relatively to the typical citizen of their country.For analytical purposes, the OECD classifies regions as the first administrative tier of sub-national government, so called Territorial Level 2 or TL2 in the OECD classification. This classification is used by National Statistical Offices to collect information and it represents in many countries the framework for implementing regional policies. Well-being indicators are shown for the 395 TL2 OECD regions, equivalent of the NUTS2 for European countries, with the exception for Estonian where well-being data are presented at a smaller (TL3) level and for the Regional Income dataset, where Greece, Hungary and Poland data are presented at a more aggregated (NUTS1) level.

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 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.

Eurostat Dataset Id:yth_hlth_070 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.

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.

Eurostat Dataset Id:yth_hlth_090 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.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

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.

20.1. Source data

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.

Eurostat Dataset Id:yth_hlth_060

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.

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.

Smokers as a percentage of population by age and sex

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

The Social Progress Index is the result of a two-year process guided by a team of scholars and policy experts. It synthesizes a huge body of research to identify the dimensions of social and environmental performance of societies. The Index incorporates four key design principles: 1. Exclusively social and environmental indicators: our aim is to measure social progress directly, rather than utilize economic proxies. By excluding economic indicators, we can, for the first time, analyze the relationship between economic development (measured for example by GDP per capita) and social development rigorously and systematically. Prior efforts to move “beyond GDP” have commingled social and economic indicators, making it more difficult to disentangle cause and effect. 2. Outcomes not inputs: our aim is to measure the outcomes that matter to the lives of real people. For example, we want to measure the health and wellness achieved by a country, not how much effort is expended nor how much the country spends on healthcare. 3. Actionability: the Index aims to be a practical tool that will help leaders and practitioners in government, business and civil society to implement policies and programs that will drive faster social progress. To achieve that goal, we measure outcomes in a granular way that links to practice. The Index has been structured around 12 components and 54 distinct indicators. The framework allows us to not only provide an aggregate country score and ranking, but also supports granular analyses of specific areas of strength and weakness. Transparency of measurement using a comprehensive framework helps change-makers identify and act upon the most pressing issues in their societies. 4. Relevance to all countries: our aim is to create a holistic measure of social progress that encompasses the health of societies. Most previous efforts have focused on the poorest countries, for understandable reasons. But knowing what constitutes a healthy society for higher-income countries is indispensable in charting a course to get there. These design principles are the foundation for our conceptual framework that defines social progress in an inclusive and comprehensive way. We define social progress as the capacity of a society to meet the basic human needs of its citizens, establish the building blocks that allow citizens and communities to enhance and sustain the quality of their lives, and create the conditions for all individuals to reach their full potential. This definition reflects an extensive and critical review and synthesis of both academic and practitioner literature in a wide range of development topics.

Crude death rate per 100 000 personsThis indicator is defined as the crude death rate from suicide and intentional self-harm per 100 000 people, by age group.Figures should be interpreted with care as suicide registration methods vary between countries and over time. Moreover, the figures do not include deaths from events of undetermined intent (part of which should be considered as suicides) and attempted suicides which did not result in death. 

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.

To identify the healthiest countries in the world, Bloomberg Rankings created health scores and health-risk scores for countries with populations of at least 1 million. The risk score was subtracted from the health score to determine the country''s rank. Five-year averages, when available, were used to mitigate some of the short-term year-over-year swings.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among 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 activityConsumption 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.

U.S. Socio-Economic Indicators, 2016

World Health Statistics presents the most recent health statistics for WHO’s 193 Member States.

The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.

In 2011, the European Union Labour Force Survey (EU-LFS) included an ad hoc module (AHM) on employment of disabled people. The module consisted of 11 variables dealing with:Health problems and difficulties in basic activities;Limitations in work caused by health problems/difficulties in basic activities;Special assistance needed or used by people with health problems/difficulties in basic activities;Limitation in work because of other reasons. On the basis of how the module was operationalised, the following two main definitions for disability were considered for presenting the results:Disabled persons = People having a basic activity difficulty (such as seeing, hearing, walking, communicating);Disabled persons = People having a work limitation caused by a longstanding health condition and/or a basic activity difficulty. 32 countries have implemented this module: the EU 28 Member States plus Turkey, Iceland, Norway and Switzerland. The Norwegian data are not disseminated because the AHM questionnaire in Norway only partly complies with the Commission Regulation (EU) No 317/2010 and consequently, the data are incomplete and partly comparable. Missing values, don't know and refusal answers are not considered in the calculations. It means the indicators have been worked out on the respondents and validated answers only.

UNAIDS was mandated by the UN General Assembly to monitor progress on global AIDS response in the 2001 General Assembly Special Session on HIV and AIDS, and reaffirmed in the 2011 High Level Meeting. The Global AIDS Response Progress Reporting data consists of 30 indicators, divided by 10 global targets, which are reported by participating countries on their national response to HIV/AIDS. Data used to be reported every second year from 2004 until 2012, However, starting 2013, data are collected every year to enable effective monitoring towards Millennium Development Goals of 2015. Collected data are published as part of the Global Report on AIDS. In 2014, 180 out of 193 UN member states (171 in 2013) submitted their reports.

This database contains country-reported GARPR data and Spectrum estimates (unrounded version for graphing purposes)

Body mass index (BMI) is a simple index of weight-for-height that is commonly used to classify overweight and obesity in adults. It is defined as a person's weight in kilograms divided by the square of his height in meters (kg/m2). The WHO definition is: a BMI greater than or equal to 25 is overweight a BMI greater than or equal to 30 is obesity. BMI provides the most useful population-level measure of overweight and obesity as it is the same for both sexes and for all ages of adults. However, it should be considered a rough guide because it may not correspond to the same degree of fatness in different individuals.

The WHO Statistical Information System is the guide to health and health-related epidemiological and statistical information available from the World Health Organization.

The World Malaria Report 2015 summarizes information received from malaria-endemic countries and other sources, and updates the analyses presented in the 2014 report.  The World Malaria Report is WHO’s flagship malaria publication, released each year in December. It assesses global and regional malaria trends, highlights progress towards global targets, and describes opportunities and challenges in controlling and eliminating the disease. Most of the data presented in this report is for 2014.

The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

Includes datasets on communicable diseases, human resources for health, noncommunicable diseases and world health statictics.

This dataset provides the World report on disability, Technical appendix A: Estimates of disability prevalence (%) and of years of health lost due to disability (YLD), by country

Eurostat Dataset Id:yth_hlth_080 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.