أستراليا

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.

Eurostat Dataset Id:hsw_ij_nuse An ad hoc module on "Work-related health problems and accidental injuries" was included in the 1999 Labour Force Survey (LFS), in order to act as a complementary data source to ESAW (European Statistics on accidents at Work) and EODS (European Occupational Diseases Statistics) and give a broader view on Health and Safety at Work.. This module provided complementary information on accidents occurring at work and resulting in less than 4 days' absence from work, on return to work after the accident at work and on health problems caused or made worse by work. The data refer to self-reported accidental injuries at work during a 12 month period before the survey and to self-reported non-accidental health problems caused or made worse by work and from which the respondent had suffered during a 12 month period before the survey. The indicators used for accidental injuries are the percentage distributions of accidents and the relative incidence rate of accidents (relative to the rate in the total of all participating countries, which is marked with 100). The incidence rate is the number of accidents at work per 100 000 employed workers. The indicators used for non-accidental health problems are the percentage distribution, number, prevalence rate and relative prevalence rate of health problems (relative to the rate in the total of all participating countries, which is marked with 100). The prevalence rate is the number of people suffering from the health problem during the last 12 months per 100 000 employed workers (see the link to summary methodology at the bottom of the page). Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. Similarly, the prevalence rates for non-accidental health problems are standardised for economic activity and for age, as age influences importantly the prevalence of health problems. For more details, please see the link to the summary methodology at the bottom of the page. Geographical coverage: Denmark, Germany, Greece, Spain, Hungary, Ireland, Italy, Luxembourg, Portugal, Finland, Sweden, United Kingdom. Sector coverage: All sectors of economic activity are covered. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence and prevalence rates are calculated for the total of all branches.

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected  on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size  of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 20.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 18.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected  on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size  of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 20.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected  on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size  of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 20.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected  on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size  of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 20.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 18.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 18.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 18.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 18.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

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

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

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

The 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.

This data set provides the Estimated numbers of new cancer cases and deaths in 2023. In 2023, 1,958,310 new cancer cases and 609,820 cancer deaths are projected to occur in the United States. 

Data cited: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."

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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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').

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.

Note: CPA data for 2018 and 2019 are projections from the 2016 Survey on Forward Spending Plans. 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

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

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.

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 indicator shows the total daily calorie supply per capita and the split into calories from animal products and vegetal products. It should not be confused with the per capita consumption of those products (calorie consumption) as calorie supply includes also losses through food distribution and mismanagement. The supply data are based on the food balance sheets (FBS) available at FAOSTAT. Data sources are primarily FAO questionnaires, national publications available in the ESS Library and Country visits by statisticians involving discussions with national experts. The food balance sheet shows the availability for human consumption for each food item i.e. each primary commodity, which corresponds to the sources of supply and its utilisation. The total quantity of all foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period, gives the supply available during that period. Data on per capita food supplies are expressed in terms of quantity and by applying appropriate food composition factors for all primary and processed products. The data for this indicator can also be expressed in terms of its energy value. More information can be found in the FAO Handbook on Food Balance Sheets

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

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

The 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.

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

The 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.

he 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.

Causes of Death 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". Death due to accidents refer to all kind of accident (transport, drowning, fire, ...).

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').

Causes of Death 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". Death due to cancer refer to all death caused by a malignant neoplasm."

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').

Causes of Death 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". Death due to ischaemic heart diseases refer to all death caused by reduced blood supply to the heart. Most of these deaths are due to 'heart attack'.

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').

Causes of Death 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". Death due to transport accidents refer to all kind of transport (road: car, pedestrian, cyclist, ..; water; air; ...).

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').

20.1. Source 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.

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

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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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 2019: Tracking Health Spending in a Time of Crisis This edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report, the 11th in the series, provides up-to-date estimates of domestic spending on health, development assistance for health, spending for HIV/AIDS, tuberculosis, and malaria, as well as projections of future health spending. Our health spending tracking and estimates show patterns between income groups and regions over time, highlight variations in how much each country spends on health, and identify where more resources are needed most. Financing Global Health 2020: Tracking Health Spending in a Time of Crisis This edition of IHME's annual Financing Global Health report, the 12th in the series, provides updated estimates of spending on health, development assistance for health, and projections of future health spending. This year's report specifically highlights changes in health spending during a global pandemic and includes dedicated sections on COVID-19, as well as in-depth analysis of pandemic preparedness spending and seven other health focus areas.

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections:The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections:The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0 Â

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

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).

Measles cases are defined as laboratory confirmed, epidemiologically linked, and clinical cases as reported to the World Health Organization.

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

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.

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

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

Eurostat Dataset Id:hlth_sha3p Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.

Eurostat Dataset Id:hlth_sha3m Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health

Eurostat Dataset Id:hlth_sha3h Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health

Eurostat Dataset Id:hlth_sha2p Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.

Eurostat Dataset Id:hlth_sha2m Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.

Eurostat Dataset Id:hlth_sha2h Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.

Eurostat Dataset Id:hlth_sha1p Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.

Eurostat Dataset Id:hlth_sha1m Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health

Eurostat Dataset Id:hlth_sha1h Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected  on accidents at work include:Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size  of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc.Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 20.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

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

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

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

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

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

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

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

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset measures progress towards the Millennium Development Goal 5 (MDG 5) target of a 75% reduction in the maternal mortality ratio between 1990 and 2015. Maternal mortality ratio estimates for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available by age and cause from the GBD Results Tool. Files available in this record include tables published in The Lancet in October 2016 in "Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015.

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

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/

These indicators present total expenditure of general government devoted to three different socio-economic functions (according to the Classification of the Functions of Government - COFOG), expressed as a ratio to GDP. The COFOG divisions covered are 'health', 'education' and 'social protection'.

Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2019-2050 for 204 countries and territories. The estimates cover total health spending, health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and Prepaid Private), and development assistance for health (DAH). Retrospective health spending estimates for 1995-2018 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2020 US dollars, constant 2020 purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.

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

Global Hunger Index, 2023 The 2023 Global Hunger Index shows that since 2015 little progress has been made in reducing hunger. The 2023 GHI score for the world is 18.3, considered moderate. This is less than one point below the world’s 2015 GHI score of 19.1, indicating that progress on reducing hunger has largely stalled. In contrast, between 2000, 2008, and 2015, the world made significant headway against hunger. There has been an increase in the prevalence of undernourishment, one of the indicators used in the calculation of GHI scores, rising from a low of 7.5 percent in 2017 to 9.2 percent in 2022.

Global Trends in Prevalence of Tobacco Smoking 2000-2025

Gross fixed capital formation in the health care system is measured by the total value of the fixed assets that health providers have acquired during the accounting period (less the value of the disposals of assets) and that are used repeatedly or continuously for more than one year in the production of health services. While human resources are essential to the health and long-term care sector, physical resources are also a key factor in the production of health services. How much a country invests in new health facilities, diagnostic and therapeutic equipment, and information and communications technology (ICT) can have an important impact on the capacity of a health system to meet the healthcare needs of the population. Having sufficient equipment in intensive care units and other health settings helps to avoid potentially catastrophic delays in diagnosing and treating patients. Non-medical equipment is also important, notably the IT infrastructure needed to better monitor population health, both in acute situations and in the long term. Investing in capital equipment is therefore a prerequisite to strengthening overall health system resilience.

Eurostat Dataset Id:hlth_sha_hf Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.

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

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

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

Eurostat Dataset Id:hlth_sha_ltc Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.

Cancer follow up has been given for the range of 5 years. The highest range has been considered as for this period, for example 1995-2000 is considered as 2000.

OECD Health Data 2016 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 2017 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 2017 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.

A System of Health Accounts 2011 provides an updated and systematic description of the financial flows related to the consumption of health care goods and services. As demands for information increase and more countries implement and institutionalise health accounts according to the system, the data produced are expected to be more comparable, more detailed and more policy relevant. It builds on the original OECD Manual, published in 2000 to create a single global framework for producing health expenditure accounts that can help track resource flows from sources to uses. It is the result of a collaborative effort between the OECD, WHO and the European Commission, and sets out in more detail the boundaries, the definitions and the concepts – responding to health care systems around the globe – from the simplest to the more complicated. The accounting framework is organised around a tri-axial system for the recording of health care expenditure, namely classifications of the functions of health care (ICHA-HC), health care provision (ICHA-HP), and financing schemes (ICHA-HF).

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.

Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.

This dataset presents 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.

This data set contains information of The statistics yearbook 2017 is compiled and published by Lao statistics Bureau, Ministry of Planning and Investment. Lao statistics Bureau of expressing gratitude provincial statistics Centre, line ministries involved, ministry-equivalent agencies and other parties to contribute to compile statistical data Economic, Social and Natural Resources and Environment cooperation throughout, Lao Statistics Bureau welcome the proposal, comments and feedback to guide the improvement this magazines better. Meanwhile, the Lao Statistics Bureau express thanks to highly among those interested in using information and statistics to Lao Statistics Bureau. TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

OECD Health Data 2016 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.

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

Healthy life expectancy based on self-perceived health describes how many years a person is expected to live in good perceived health. Indicator combines mortality data with data on self-perceived health (Source: EU-SILC).

The indicator of healthy life years measures the number of remaining years that a person of specific age (at birth and at 65) is expected to live without any severe or moderate health problems. The indicator is also called disability-free life expectancy (DFLE). It is a composite indicator that combines mortality data with data referring to a health indicator, such as disability. Healthy life years 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 it would result in lower levels of public healthcare expenditure. If healthy life years are increasing more rapidly than life expectancy, it means that people are living longer and free from health problems.

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.

Healthy life years (HLY) at 65 is a composite indicator that measures the number of remaining years that a person aged 65 is expected to live in a healthy condition. It is calculated separately for women and men by combining mortality data from Eurostat's demographic database with data on self-perceived activity limitations from the European Statistics of Income and Living Condition survey. A healthy conditions is defined by the absence of longstanding severe or moderate limitations in usual activities because of a health problem. Longstanding refers to a period of more than 6 months.

Healthy life years (HLY) at 65 is a composite indicator that measures the number of remaining years that a person aged 65 is expected to live in a healthy condition. It is calculated separately for women and men by combining mortality data from Eurostat's demographic database with data on self-perceived activity limitations from the European Statistics of Income and Living Condition survey. A healthy conditions is defined by the absence of longstanding severe or moderate limitations in usual activities because of a health problem. Longstanding refers to a period of more than 6 months.

The indicator Healthy Life Years (HLY) at age 65 measures the number of years that a person at age 65 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).

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

Harmonised Indices of Consumer Prices (HICP) are designed for international comparisons of consumer price inflation. HICPs are used for the assessment of the inflation convergence criterion as required under Article 121 of the Treaty of Amsterdam and by the ECB for assessing price stability for monetary policy purposes. The ECB defines price stability on the basis of the annual rate of change of the euro area HICP. HICPs are compiled on the basis of harmonised standards, binding for all Member States. Conceptually, the HICP are Laspeyres-type price indices and are computed as annual chain-indices allowing for weights changing each year. The common classification for Harmonized Indices of Consumer Prices is the COICOP (Classification Of Individual COnsumption by Purpose). A version of this classification (COICOP/HICP) has been specially adapted for the HICP. Sub-indices published by Eurostat are based on this classification. HICP are produced and published using a common index reference period (2015 = 100). Growth rates are calculated from published index levels. Indexes, as well as both growth rates with respect to the previous month (M/M-1) and with respect to the corresponding month of the previous year (M/M-12) are neither calendar nor seasonally adjusted.

Europop2013, the latest population projections released by Eurostat, provide a set of different scenarios for possible population developments at national and regional levels across 31 European countries: all of the EU-28 Member States, as well as Iceland, Norway and Switzerland. These population projections were produced using data for 1 January 2013 as a starting point and therefore include any modifications made to demographic statistics resulting from the 2011 population census exercise. They were developed based on application of a main input dataset of assumptions on future developments for fertility, mortality and net migration covering the time period 2013 to 2080. Europop2013 at national level includes detailed statistical information related to the main scenario and its four variants with reference to:projected population on 1st January by age and sex;assumptions datasets: age-specific fertility rates, age-specific mortality rates and international net migration figures (including statistical adjustment);approximated values of the life expectancy by age and sex for main scenario and higher life expectancy variant;total numbers of projected live births and deaths;projected population structure indicators: shares of broad age groups in total population, old-age dependency ratios and median age of population.the time horizon covered is from 2013 until 2080 for the main scenario and no migration variant, and from 2013 until 2060 for the higher life expectancy, reduced migration and lower fertility variants. Europop2013 at regional level includes statistical information related to the main scenario with reference to:projected population on 1st January by age and sex;assumptions dataset: age-specific fertility rates, age-specific mortality rates and net migration figures (including statistical adjustment);approximated values of the life expectancy by age and sex;total numbers of projected live births and deaths;projected population structure indicators: shares of broad age groups in total population, old-age dependency ratios and median age of population.the time horizon covered is from 2013 until 2080.data available are rounded therefore the sum of regional figures for populations and for net migrations will differ from the national ones by few units.287 regions classified as NUTS level 2 corresponding to NUTS-2010 classification (the Nomenclature of Territorial Units for Statistics) and to the Statistical Regions agreed between European Commission and Iceland, Norway and Switzerland. Due to the relative small population the following countries have one NUTS level 2 region: Estonia, Cyprus, Latvia, Lithuania, Luxembourg, Malta and Iceland. Thus, for these countries the projected population data for NUTS level 2 region are identical to national data.

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.

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.

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

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

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

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

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.

Health-related information: injury, disease, nutrition, improving health, etc. Within the last three months before the survey.

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.

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).

Data Citation: FluNet: https://apps.who.int/flumart/Default?ReportNo=2: World Health Organization; [2021]. License: CC BY-NC-SA 3.0 IGO WHO- FluMart is a platform that has been developed to facilitate data exchange, harmonization, consolidation and storage of influenza related data. FluMart allows the upload of any user defined data files in their own format and transforms them into standard data. Standard format data can be used for analysis purposes and to produce reports. FluMart does not replace already existing applications such as FluNet and FluID, but combines the data from different applications and/or data sources in one common platform to enable integrated analysis and reporting. Note: Date has been taken as Starting Date of range date for the week  

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.

This dataset shows how much health providers spend on the inputs needed to produce healthcare goods and services (factors of provision). This information is typically tracked at national aggregate levels to meet the need to ensure an efficient, appropriate allocation of resources in the production of health care services. Specific policy needs may require information regarding total payments for human resources, expenditure on pharmaceuticals, and other significant inputs. Furthermore, the financial planning of health programmes and services often relies on information about the volume and mixture of factor spending.

Compared to the other 11 countries, United States has averaged more pregnancies, births, and abortions per 1,000 girls while having the lowest ratio of births to abortions.

This indicator is a proxy for rights to social security and health. It represents the percentage of the population without legal health coverage. Coverage includes affiliated members of health insurance or estimation of the population having free access to health care services provided by the State. A higher figure indicates higher percentage of the population without legal health coverage.This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.

Physicians (medical doctors) as defined by ISCO 88 (code 2221) apply preventive and curative measures, improve or develop concepts, theories and operational methods and conduct research in the area of medicine and health care. Physicians may be counted according to different concepts such as "practising", "professionally active" or "licensed to practice". Physicians licensed to practice are practising physicians, professionally active and economically active physicians as well as all physicians being registered and entitled to practice as health care professionals.

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.

Data citation:International Long Term Care Policy Network,Gregg Girvan & Avik Roy, The Foundation for Research on Equal Opportunity retrieved from The Foundation for Research on Equal Opportunity with approval dated 25th August 2020.

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.

This dataset contains 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 for the period from 1990 until 2017 

This indicator is a proxy for health system outcomes. It represents the number of maternal deaths per 10 000 live births. A higher figure indicates worse outcomes. This is one of five indicators measuring key dimensions (drivers) of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.

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.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   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.

2022 Monkeypox Outbreak: Global Trends. Geneva: World Health Organization, 2022. Available online: https://worldhealthorg.shinyapps.io/mpx_global/ (last cited: 29 August 2022).

Data cited at: Global Fund

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.

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected  on accidents at work include: Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size  of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc. Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 20.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. A fatal accident at work is defined as an accident which leads to the death of a victim within one year of the accident. The variables collected  on accidents at work include:Economic activity of the employer and size of the enterpriseEmployment status, occupation, age, sex and nationality of victimGeographical location, date and time of the accidentType of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident).Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury. The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection etc.). As an exception, accident data for the Netherlands are based on survey data. On the Eurostat website, ESAW data are disseminated in two sections: 'Main Indicators' and 'Details by economic sector (NACE Rev2, 2008 onwards)'. Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size  of the enterprise, body part injured and type of injury. The data is presented in form of numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work, either for EU aggregates, countries or certain breakdowns by dimensions such as age, sex etc.Numbers correspond to a simple count of all non-fatal and fatal accidents for the entirety or certain breakdowns of the data;Percentages represent shares of breakdowns;The incidence rate of non-fatal or fatal accidents at work is the number of serious or fatal accidents per 100,000 persons in employment;The standardised incidence rates of non-fatal or fatal accidents at work aim to eliminate differences in the structures of countries' economies (see section 20.6 Adjustment for more details). The incidence rate indicates the relative importance of non-fatal or fatal accidents at work in the working population. For both types of accidents at work the numerator is the number of accidents that occurred during the year. The denominator is the reference population (i.e. the number of persons in employment) expressed in 100,000 persons. The reference population (or number of persons in employment) related to the national ESAW reporting system is provided by the Member States, either from administrative sources related to accidents at work or from the EU Labour Force Survey (LFS).

Non-medical determinants of health: Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. This dataset presents the latest data for tobacco consumption (including daily smokers by age and sex), vaping (by age and sex), alcohol consumption, fruits and vegetables consumption, as well as measured and self-reported data on overweight and obesity.

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

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

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

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

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

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

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

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

Eurostat Dataset Id:hsw_hp_disnu An ad hoc module on "Work-related health problems and accidental injuries" was included in the 1999 Labour Force Survey (LFS), in order to act as a complementary data source to ESAW (European Statistics on accidents at Work) and EODS (European Occupational Diseases Statistics) and give a broader view on Health and Safety at Work.. This module provided complementary information on accidents occurring at work and resulting in less than 4 days' absence from work, on return to work after the accident at work and on health problems caused or made worse by work. The data refer to self-reported accidental injuries at work during a 12 month period before the survey and to self-reported non-accidental health problems caused or made worse by work and from which the respondent had suffered during a 12 month period before the survey. The indicators used for accidental injuries are the percentage distributions of accidents and the relative incidence rate of accidents (relative to the rate in the total of all participating countries, which is marked with 100). The incidence rate is the number of accidents at work per 100 000 employed workers. The indicators used for non-accidental health problems are the percentage distribution, number, prevalence rate and relative prevalence rate of health problems (relative to the rate in the total of all participating countries, which is marked with 100). The prevalence rate is the number of people suffering from the health problem during the last 12 months per 100 000 employed workers (see the link to summary methodology at the bottom of the page). Statistical adjustments: Because the frequency of work accidents is higher in some branches (high-risk sectors), an adjustment is performed to get more standardised incidence rates. Similarly, the prevalence rates for non-accidental health problems are standardised for economic activity and for age, as age influences importantly the prevalence of health problems. For more details, please see the link to the summary methodology at the bottom of the page. Geographical coverage: Denmark, Germany, Greece, Spain, Hungary, Ireland, Italy, Luxembourg, Portugal, Finland, Sweden, United Kingdom. Sector coverage: All sectors of economic activity are covered. The specification of sectors is given according to the NACE classification (NACE = Nomenclature statistique des activités économiques dans la Communauté européenne). The incidence and prevalence rates are calculated for the total of all branches.

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 indicator measures the share of obese people based on their body mass index (BMI). BMI is defined as the weight in kilos divided by the square of the height in meters. People aged 18 years or over are considered obese with a BMI equal or greater than 30. Other categories are: underweight (BMI less than 18.5), normal weight (BMI between 18.5 and less than 25), and pre-obese (BMI between 25 and less than 30). The category overweight (BMI equal or greater than 25) combines the two categories pre-obese and obese.

This indicator is a proxy for financial protection in case of ill health. It represents the amount of money paid directly to health care providers in exchange for health goods and services as a percentage of total health expenditure. A higher figure indicates higher percentage of out-of-pocket payments. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.

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

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

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

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

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.

Fatalities caused by road accidents include drivers and passengers of motorised vehicles and pedal cycles as well as pedestrians, killed within 30 days from the day of the accident. For Member States not using this definition, corrective factors were applied. The data come from the CARE database managed by DG MOVE. For more information click here.

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.

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

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.

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

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.

Eurostat Dataset Id:hlth_db_emasne In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

The European Union Labour Force Survey (EU-LFS) provides population estimates for the main labour market characteristics, such as employment, unemployment, inactivity, hours of work, occupation, economic activity and much else, as well as important socio-demographic characteristics, such as sex, age, education, households and regions of residence. Since 1999 an inherent part of the European Union labour force survey (LFS) are the so called 'ad-hoc modules' (AHM). Council Regulation No 577/98 specifies that a further set of variables (the AHM) may be added to supplement the information obtained from the core questionnaire of the LFS. The topic covered by the ad hoc module change every year, although some of them have been repeated.

Eurostat Dataset Id:hlth_db_emduca In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

The European Union Labour Force Survey (EU-LFS) provides population estimates for the main labour market characteristics, such as employment, unemployment, inactivity, hours of work, occupation, economic activity and much else, as well as important socio-demographic characteristics, such as sex, age, education, households and regions of residence. Since 1999 an inherent part of the European Union labour force survey (LFS) are the so called 'ad-hoc modules' (AHM). Council Regulation No 577/98 specifies that a further set of variables (the AHM) may be added to supplement the information obtained from the core questionnaire of the LFS. The topic covered by the ad hoc module change every year, although some of them have been repeated.

Eurostat Dataset Id:hlth_db_emseag In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

Eurostat Dataset Id:hlth_db_emasnt In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

Eurostat Dataset Id:hlth_db_emaspt In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

Eurostat Dataset Id:hlth_db_emtyag In order to provide data for the European Year of People with Disabilities 2003, the 2002 European Union Labour Force Survey (LFS) contained an ad hoc module concerning the employment of disabled people. The module consisted of 11 variables dealing with the existence, type, cause and duration of longstanding health problem or disability, work limitations (regarding the kind of work or the amount of work, and mobility problems), and assistance needed or provided to work. The results refer to persons aged 16-64 years, living in private households. Disabled persons are those who stated that they had a longstanding health problem or disability (LSHPD) for 6 months or more or expected to last 6 months or more. The indicator used is the percentage prevalence of people with disabilities in various socioeconomic groups as well as the percentage distribution of certain characteristics of disability or of certain socioeconomic characteristics among those reporting disability. The survey was conducted in all the 15 old Member States of the EU as well as in 9 at that time acceding or candidate countries (Czech Republic, Estonia, Cyprus, Latvia, Hungary, Malta, Slovenia, Slovak Republic and Romania) and in Norway.

Description not available

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

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

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, Iceland, Norway, Liechtenstein, Switzerland, Serbia and Turkey. 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 road accident data are taken from the CARE database, which is entirely managed by Directorate-General Mobility and Transport (MOVE) CARE is a Community database on road accidents resulting in death or injury (no statistics on damage - only accidents). The tables included in Eurobase are limited to the number of fatalities as the definition of injuries is not entirely harmonised across the Member States. The major difference between CARE and most other existing international databases is the high level of disaggregation, i.e. CARE results are based on detailed data on individual accidents as collected by the Member States. The Council decided on 30 November 1993 the creation of a Community database on road accidents (Council Decision 93/704/EC, OJ No L329 of 30.12.1993, pp. 63-65). This database at Community level (CARE - Community database on Accidents on the Roads in Europe) would make it possible to identify and quantify road safety problems, evaluate the efficiency of road safety measures, determine the relevance of Community actions and facilitate the exchange of experience in this field. National data sets are integrated into the CARE database in their original national structure and definitions, with confidential data blanked out. The Commission provides a framework of transformation rules allowing CARE to provide compatible data. The following data are available: Fatalities in road accidents by genderFatalities in road accidents by road type userFatalities in road accidents by age classFatalities in road accidents by type of area   For the road accident fatalities by type of area, and notably the classification of accidents on motorways, which may also occur in urban areas, please note the following rationale: Rural : Outside urban area and no motorway/unknown Urban: inside urban area (all) Motorway: Outside urban area & motorway Unknown: urban area unknown and motorway unknown. More information can be obtained in Part 2 Road Information of the document with the CARE database variable description, the link of which is given in point 3.2.

The road accident data are taken from the CARE database, which is entirely managed by Directorate-General Mobility and Transport (MOVE) CARE is a Community database on road accidents resulting in death or injury (no statistics on damage - only accidents). The tables included in Eurobase are limited to the number of fatalities as the definition of injuries is not entirely harmonised across the Member States. The major difference between CARE and most other existing international databases is the high level of disaggregation, i.e. CARE results are based on detailed data on individual accidents as collected by the Member States. The Council decided on 30 November 1993 the creation of a Community database on road accidents (Council Decision 93/704/EC, OJ No L329 of 30.12.1993, pp. 63-65). This database at Community level (CARE - Community database on Accidents on the Roads in Europe) would make it possible to identify and quantify road safety problems, evaluate the efficiency of road safety measures, determine the relevance of Community actions and facilitate the exchange of experience in this field. National data sets are integrated into the CARE database in their original national structure and definitions, with confidential data blanked out. The Commission provides a framework of transformation rules allowing CARE to provide compatible data. The following data are available: Fatalities in road accidents by genderFatalities in road accidents by road type userFatalities in road accidents by age classFatalities in road accidents by type of area   For the road accident fatalities by type of area, and notably the classification of accidents on motorways, which may also occur in urban areas, please note the following rationale: Rural : Outside urban area and no motorway/unknown Urban: inside urban area (all) Motorway: Outside urban area & motorway Unknown: urban area unknown and motorway unknown. More information can be obtained in Part 2 Road Information of the document with the CARE database variable description, the link of which is given in point 3.2.

The road accident data are taken from the CARE database, which is entirely managed by Directorate-General Mobility and Transport (MOVE) CARE is a Community database on road accidents resulting in death or injury (no statistics on damage - only accidents). The tables included in Eurobase are limited to the number of fatalities as the definition of injuries is not entirely harmonised across the Member States. The major difference between CARE and most other existing international databases is the high level of disaggregation, i.e. CARE results are based on detailed data on individual accidents as collected by the Member States. The Council decided on 30 November 1993 the creation of a Community database on road accidents (Council Decision 93/704/EC, OJ No L329 of 30.12.1993, pp. 63-65). This database at Community level (CARE - Community database on Accidents on the Roads in Europe) would make it possible to identify and quantify road safety problems, evaluate the efficiency of road safety measures, determine the relevance of Community actions and facilitate the exchange of experience in this field. National data sets are integrated into the CARE database in their original national structure and definitions, with confidential data blanked out. The Commission provides a framework of transformation rules allowing CARE to provide compatible data. The following data are available: Fatalities in road accidents by genderFatalities in road accidents by road type userFatalities in road accidents by age classFatalities in road accidents by type of area   For the road accident fatalities by type of area, and notably the classification of accidents on motorways, which may also occur in urban areas, please note the following rationale: Rural : Outside urban area and no motorway/unknown Urban: inside urban area (all) Motorway: Outside urban area & motorway Unknown: urban area unknown and motorway unknown. More information can be obtained in Part 2 Road Information of the document with the CARE database variable description, the link of which is given in point 3.2.

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

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 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 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 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 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 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 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.

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.

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.

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

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 2011 Population and Housing Census marks a milestone in census exercises in Europe. For the first time, European legislation defined in detail a set of harmonised high-quality data from the population and housing censuses conducted in the EU Member States. As a result, the data from the 2011 round of censuses offer exceptional flexibility to cross-tabulate different variables and to provide geographically detailed data. EU Member States have developed different methods to produce these census data.  The national differences reflect the specific national situations in terms of data source availability, as well as the administrative practices and traditions of that country. The EU census legislation respects this diversity. The Regulation of the European Parliament and of the Council on population and housing censuses (Regulation (EC) No 763/2008) is focussed on output harmonisation rather than input harmonisation. Member States are free to assess for themselves how to conduct their 2011 censuses and which data sources, methods and technology should be applied given the national context. This gives the Member States flexibility, in line with the principles of subsidiarity and efficiency, and with the competences of the statistical institutes in the Member States. However, certain important conditions must be met in order to achieve the objective of comparability of census data from different Member States and to assess the data quality: Regulation (EC) No 1201/20092 contains definitions and technical specifications for the census topics (variables) and their breakdowns that are required to achieve Europe-wide comparability. The specifications are based closely on international recommendations and have been designed to provide the best possible information value. The census topics include geographic, demographic, economic and educational characteristics of persons, international and internal migration characteristics as well as household, family and housing characteristics. Regulation (EU) No 519/2010 requires the data outputs that Member States transmit to the Eurostat to comply with a defined programme of statistical data (tabulation) and with set rules concerning the replacement of statistical data. The content of the EU census programme serves major policy needs of the European Union. Regionally, there is a strong focus on the NUTS 2 level. The data requirements are adapted to the level of regional detail. The Regulation does not require transmission of any data that the Member States consider to be confidential. The statistical data must be completed by metadata that will facilitate interpretation of the numerical data, including country-specific definitions plus information on the data sources and on methodological issues. This is necessary in order to achieve the transparency that is a condition for valid interpretation of the data. Users of output-harmonised census data from the EU Member States need to have detailed information on the quality of the censuses and their results. Regulation (EU) No 1151/2010) therefore requires transmission of a quality report containing a systematic description of the data sources used for census purposes in the Member States and of the quality of the census results produced from these sources. A comparably structured quality report for all EU Member States will support the exchange of experience from the 2011 round and become a reference for future development of census methodology (EU legislation on the 2011 Population and Housing Censuses - Explanatory Notes ). In order to ensure proper transmission of the data and metadata and provide user-friendly access to this information, a common technical format is set for transmission for all Member States and for the Commission (Eurostat). The Regulation therefore requires the data to be transmitted in a harmonised structure and in the internationally established SDMX format from every Member State. In order to achieve this harmonised transmission, a new system has been developed – the CENSUS HUB. The Census Hub is a conceptually new system used for the dissemination of the 2011 Census. It is based on the concept of data sharing, where a group of partners (Eurostat on one hand and National Statistical Institutes on the other) agree to provide access to their data according to standard processes, formats and technologies. The Census Hub is a readily-accessible system that provided the following functions: • Data providers (the NSIs) can make data available directly from their systems through a querying system. In parallel, • Data users browse the hub to define a dataset of interest via the above structural metadata and retrieve the dataset from the NSIs. From the data management point of view, the hub is based on agreed hypercubes (data-sets in the form of multi-dimensional aggregations). The hypercubes are not sent to the central system. Instead the following process operates: 1. a user defines a dataset through the web interface of the central hub and requests it; 2. the central hub translates the user request in one or more queries and sends them to the related NSIs’ systems; 3. NSIs’ systems process the query and send the result to the central hub in a standard format; 4. the central hub puts together all the results sent by the NSI systems and presents them in a user-specified format. Â

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0

EHSIS was designed to measure the biopsychosocial model of disability introduced by the International Classification of Functioning, Disability and Health (ICF, World Health Organization, 2001). According to this model applied to the survey, disabled people are those who face barriers to participation associated, inter alia, with a health problem or basic activity limitation. Thus, the survey primarily explored the barriers to life opportunities faced by people with health problems and impairments. EHSIS questionnaire covered the following sections: The socio-economic background (classificatory questions),A health component (Minimum European Health Module and a list of groups of longstanding health conditions); list of different impairments (limitation in basic activities): seeing, hearing, walking, …; activities of daily living (ADL: self-care activities such as feeding oneself, dressing, bathing, …), and instrumental activities of daily living (IADL: domestic life activities, such as managing money, shopping, using the telephone use, housekeeping), andTen areas on important facets of life that enable an individual to be a fully functional and integrated member of society (identified as being of most relevant ones from ICF): mobility, transport, accessibility to buildings, education and training, employment, internet use, social contact and support, leisure pursuits, economic life, attitudes and behaviour. For each of these areas, disadvantages or restrictions to social participation that people (with and without a longstanding health problem or a basic activity difficulty) face in their everyday lives were investigated. Model questionnaire and other relevant documents are available on CIRCABC in European Health and Social Integration Survey (EHSIS). Information on the questionnaire development is available in the public part of the Circabc website: https://circabc.europa.eu/w/browse/8f8ab081-ca6a-4738-bf5a-d73e67f8e1f0