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ルクセンブルク

  • Monarch:Henri
  • 首相:Xavier Bettel
  • 首都:Luxembourg
  • 言語:Luxembourgish (official administrative and judicial language and national language (spoken vernacular)) 88.8%, French (official administrative, judicial, and legislative language) 4.2%, Portuguese 2.3%, German (official administrative and judicial language) 1.1%, other 3.5% (2011 est.)
  • 政府
  • 統計局
  • 人口、人:599,449 (2017)
  • 面積、平方キロメートル:2,590 (2017)
  • 1人当たりGDP、US $:104,103 (2017)
  • GDP、現在の10億米ドル:62.4 (2017)
  • GINI指数:31.2 (2014)
  • ビジネスのしやすさランク:63 (2017)
すべてのデータセット:  A B C D E F G H I L M N O P R S T U W Y
  • A
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 6月, 2014
      データセットを選択
      Eurostat Dataset Id:hsw_ij_svinj 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.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2014
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 24 11月, 2015
      データセットを選択
      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.
    • 6月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 11 6月, 2019
      データセットを選択
      Source: UNECE Statistical Database, compiled from national and international (Eurostat, UN Statistics Division Demographic Yearbook, WHO European health for all database and UNICEF TransMONEE) official sources. Definition: Adolescent fertility covers live births to women aged 15-19. A live birth is the complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of pregnancy, which after such separation breathes or shows any other evidence of life such as beating of the heart, pulsation of the umbilical cord or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached. The adolescent fertility rate is the number of live births to women aged 15-19 per 1000 women aged 15-19. General note: Data on live births come from registers, unless otherwise specified. The adolescent fertility rate is computed by UNECE secretariat. .. - data not available Country: Albania Data refer to age group 0-19. Country: Armenia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Azerbaijan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Belarus Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Bosnia and Herzegovina 1995 : data refer to 1996. Country: Canada Data include Canadian residents temporarily in the United States, but exclude United States residents temporarily in Canada. Country: Cyprus Data cover only the area controlled by the Republic of Cyprus. Country: Estonia Data refer to age group 0-19. Country: Finland Data include nationals temporarily outside the country. Country: Georgia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. From 1995 : data do not cover Abkhazia and South Ossetia (Tshinvali). 1980-2003 : data refer to age group 15-20. Country: Germany 1980-1990 : data cover only West Germany (Federal Republic of Germany). From 1995 : data refer to reunified Germany, i.e. include the ex-German Democratic Republic (East Germany). Country: Ireland Data are tabulated by date of registration (rather than occurrence) and refer to births registered within one year of occurrence. 2005-2006 : provisional data. Country: Israel Data cover East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967. 1980 : data refer to age group 0-19. Country: Kazakhstan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Kyrgyzstan 1980-2003 : data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Latvia Data refer to age group 0-19. Country: Malta Data refer to age group 0-19. Country: Netherlands Data refer to age group 0-19. Country: Norway Age classification is based on year of birth of mother rather than the exact age of mother at birth of child. Country: Poland 1980 : data refer to age group 0-19. Country: Portugal Data refer to resident mothers. Country: Russian Federation Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Serbia Data do not cover Kosovo and Metohija. Data are tabulated by date of registration (rather than occurrence). Country: Turkey 1980-2000: data source is population censuses. From 2001: data are from administrative source. Country: Turkmenistan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Ukraine Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. 2000 : data refer to 1998. 1990 : data refer to age group 0-19. Country: United Kingdom Data are tabulated by date of occurrence for England and Wales and by date of registration for Northern Ireland and Scotland. Country: United States 2000 : data refer to 1999. Country: Uzbekistan Data refer to age group 18-19.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
  • B
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      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.
    • 8月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2018
      データセットを選択
      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.
  • C
    • 12月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 02 1月, 2019
      データセットを選択
      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."
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 07 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 07 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 6月, 2019
      データセットを選択
      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.
    • 1月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 5月, 2014
      データセットを選択
      Eurostat Dataset Id:hlth_cd_ynrf 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, and cause of death. 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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2019
      データセットを選択
      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.
    • 1月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 5月, 2014
      データセットを選択
      Eurostat Dataset Id:hlth_cd_ynrm 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, and cause of death. 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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2019
      データセットを選択
      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.
    • 1月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 5月, 2014
      データセットを選択
      Eurostat Dataset Id:hlth_cd_ynrt 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, and cause of death. 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.
    • 4月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2019
      データセットを選択
      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.
    • 4月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 5月, 2014
      データセットを選択
      Eurostat Dataset Id:hlth_cd_ycdrt 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, and cause of death. 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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 4月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 8月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2018
      データセットを選択
      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.
    • 8月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2018
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
    • 7月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2019
      データセットを選択
      Source: UNECE Statistical Database, compiled from national and international official sources. Area data exclude overseas departments and territories. For population footnotes click here. For life expectancy footnotes click here. For fertility rate footnotes click here. For population by marital status footnotes click here. For female members of parliament footnotes click here. For female government ministers footnotes click here. For female central bank board members footnotes click here. For female tertiary students footnotes click here. For economic activity rate footnotes click here. For gender pay gap footnotes click here. For employment growth rate footnotes click here. For unemployment rate footnotes click here. For youth unemployment rate footnotes click here. For employment by economic sector footnotes click here. For economic indicator footnotes click here. For road accident footnotes click here. For total length of motorways footnotes click here. For total length of railway lines footnotes click here. Key indicators in maps .. - data not availableIndicatorGDP in agriculture (ISIC4 A): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in industry (incl. construction) (ISIC4 B-F): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in services (ISIC4 G-U): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in agriculture etc. (ISIC4 A), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in industry etc. (ISIC4 B-E), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in construction (ISIC4 F), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in trade, hospitality, transport and communication (ISIC4 G-J), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in finance and business services (ISIC4 K-N), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in public administration, education and health (ISIC4 O-Q), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in other service activities (ISIC4 R-U), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in agriculture, hunting, forestry and fishing (ISIC Rev. 4 A), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in industry and energy (ISIC Rev. 4 B-E), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in construction (ISIC Rev. 4 F), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in trade, hotels, restaurants, transport and communications (ISIC Rev. 4 G-J), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in finance, real estate and business services (ISIC Rev. 4 K-N), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in public administration, education and health (ISIC Rev. 4 O-Q), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in other service activities (ISIC Rev. 4 R-U), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.
    • 4月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 21 5月, 2018
      データセットを選択
      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
    • 7月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 29 7月, 2016
      データセットを選択
      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
    • 6月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 05 6月, 2019
      データセットを選択
      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
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 8月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2018
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 3月, 2019
      データセットを選択
  • D
    • 2月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 2月, 2019
      データセットを選択
      20.1. Source data
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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').
    • 5月 2018
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 21 11月, 2018
      データセットを選択
      .. - data not available Source: UNECE Statistical Division Database, compiled from national and international (WHO European health for all database) official sources. Definitions: The (age-) standardized death rate (SDR) is a weighted average of age-specific mortality rates per 100 000 population. The weighting factor is the age distribution of a standard reference population. The standard reference population used is the European standard population as defined by the World Health Organisation (WHO). As method for standardisation, the direct method is applied. As most causes of death vary significantly with age and sex, the use of standardised death rates improves comparability over time and between countries. Death refers to the permanent disappearance of all evidence of life at any time after a live birth has taken place (post-natal cessation of vital functions without capability of resuscitation). This definition therefore excludes foetal deaths. Causes of death (CoD) are all diseases, morbid conditions or injuries that either resulted in or contributed to death, and the circumstances of the accident or violence that produced any such injuries. Symptoms or modes of dying, such as heart failure or asthenia, are not considered to be causes of death for vital statistics purposes. General note:: Diseases and external causes of death are coded differently in different versions of the International Classification of Diseases (ICD). For many diseases it is not possible to identify codes in different classification systems that would correspond precisely to the same disease or groups of diseases. Often the change in the trend of a certain cause-specific mortality rate may be the result of a changing ICD version or national death certification and coding practices, rather than an actual change in the mortality. It should be noted that mortality rates for some countries may be biased due to the under-registration of death cases. The basic principle of selection of the 17 CoD for presentation in the UNECE Gender Database is to include one main SDR for each of the ICD chapters and also to focus on some of the leading CoD across the European Region and some specific causes with high gender differences. ICD versionCountries9.3 - ICD-9 3-digit codes Albania, The former Yugoslav Republic of Macedonia 9.4 - ICD-9 4-digit or mixture of 3- and 4-digit codesGreece9.5 - ICD-9 BTL codes (in most countries actually original ICD-9 codes were used but the data later were converted by WHO into BTL codes) Bosnia and Herzegovina10.1 - ICD-10 mortality tabulation condensed list No1 (103 causes) Armenia, Azerbaijan, Belarus, Kazakhstan, Russian Federation, Ukraine10.3 - ICD-10 3-digit codes Belgium, Bulgaria, Estonia, Georgia, Latvia, Montenegro, Serbia, Slovakia, Slovenia, Uzbekistan10.4 - ICD-10 4-digit or mixture of 3- and 4-digit codes Austria, Canada, Croatia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Hungary, Iceland, Ireland, Israel, Italy, Kyrgyzstan, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Romania, Spain, Sweden, Switzerland, United Kingdom, United States 1.75 - Special tabulation list of 175 causes used in some ex-USSR countries Tajikistan, Turkmenistan Link to International Classification of Diseases 10th Revision Country: Canada Data on accidents include sequelae of transport and other accidents. Data on transport accidents include sequelae of transport accidents. Data on suicide and intentional self-harm include sequelae of intentional self-harm. Country: United States Data on accidents include sequelae of transport and other accidents. Data on transport accidents include sequelae of transport accidents.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2018
      データセットを選択
      20.1. Source data
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      number per 100 000 personsThe indicator measures the standardised death rate of selected communicable diseases. The rate is calculated by dividing the number of people dying due to tuberculosis, HIV and hepatitis by the total population. This value is then weighted with the European Standard Population.The data are presented as standardised death rates, meaning they are adjusted to a standard age distribution in order to measure death rates independently of different age structures of populations. This approach improves comparability over time and between countries. The standardised death rates used here are calculated on the basis of a standard European population.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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.
    • 4月 2019
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2019
      データセットを選択
      This 10th edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report provides the most up-to-date estimates of development assistance for health, domestic spending on health, health spending on two key infectious diseases – malaria and HIV/AIDS – and future scenarios of health spending. Several transitions in global health financing inform this report: the influence of economic development on the composition of health spending; the emergence of other sources of development assistance funds and initiatives; and the increased availability of disease-specific funding data for the global health community. For funders and policymakers with sights on achieving 2030 global health goals, these estimates are of critical importance. They can be used for identifying funding gaps, evaluating the allocation of scarce resources, and comparing funding across time and countries.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 11月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 11月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 07 11月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
      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.
    • 12月 2008
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Peter Speyer
      データセットを選択
      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.
  • E
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2019
      データセットを選択
    • 2月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 3月, 2017
      データセットを選択
      The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status (including disability), health determinants (including environment) and use and limitations in access to health care services of the EU citizens. The general coverage of the survey is the population aged 15 or over living in private households residing in the territory of the country. EHIS was developed between 2003 and 2006. It consists of four modules on health status, health determinants, health care, and background variables. The first wave of EHIS (EHIS wave 1 or EHIS round 2008) was conducted between 2006 and 2009 in 17 EU Member States as well as Switzerland and Turkey. The second wave (EHIS wave 2 or EHIS round 2014) was conducted between 2013 and 2015 in all EU Member States, Iceland and Norway. Some other countries conducted their national health interview surveys using the second wave of EHIS questionnaire such as Turkey or Serbia. EHIS includes the following topics: Health status This topic includes different dimensions of health status and health-related activity limitations: General health status (Minimum European health module): self-perceived health, chronic morbidity and activity limitationDisease-specific morbidityAccidents and injuriesHealth-related absenteeism from workPhysical and sensory functional limitationsDifficulties in personal care activities / activities of daily living (such as eating and washing) and help received/neededHousehold activities / Instrumental activities of daily living (such as preparing meals and shopping) and help received/neededPainAspect of mental health (psychological distress and mental well-being in the first wave, depressive symptoms in the second wave)Work-related health problems (only in the first wave).Health care This topic covers the use of different types of medicines and formal and informal health and social care services, which are complemented by data on health-related expenditure, and limitations in access to and satisfaction with health care services: Hospitalisation (in-patient and day care)Consultations with doctors and dentistsVisits to specific health professionals (such as physiotherapists or psychologists)Use of home care and home help servicesUse of medicines (prescribed and non-prescribed)Healthcare preventive actions (such as influenza vaccination, breast examination, cervical smear test and blood tests)Unmet needs for health careOut-of-pocket payments for medical care (only in the first wave)Satisfaction with services provided by healthcare providers (only in the first wave)Visits to specific categories of alternative medicine practitioners (only in the first wave).Health determinants This topic includes various individual and environmental health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceSmoking behaviour and exposure to tobacco smokeAlcohol consumptionSocial supportProvision of informal care or assistance (only in the second wave)Illicit drug use (only in the first wave)Environment (home and workplace exposures, criminality exposure) (only in the first wave).Background variables on demography and socio-economic status. All indicators are expressed as percentages within the population and statistics are broken down by age and sex and one other dimension such as educational attainment level, income quintile group or labour status.
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 11月, 2015
      データセットを選択
      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.
    • 7月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 12月 2013
      ソース: European Agency for Safety and Health at Work
      アップロード者: Knoema
      以下でアクセス: 07 6月, 2018
      データセットを選択
      Dataset cited at: "European Agency for Safety and Health at Work" Design, questionnaire and results of the European opinion poll conducted in 2013 across 31 European countries. 
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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.
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 24 5月, 2015
      データセットを選択
      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.
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2015
      データセットを選択
      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.
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2015
      データセットを選択
      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.
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2015
      データセットを選択
      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.
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2015
      データセットを選択
      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.
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 5月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2015
      データセットを選択
      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
  • F
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
    • 4月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 4月, 2019
      データセットを選択
      Not applicable
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 3月, 2019
      データセットを選択
      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.
    • 9月 2017
      ソース: National Institute for Health and Welfare
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2018
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 4月, 2019
      データセットを選択
      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.
    • 10月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2019
      データセットを選択
      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.
    • 10月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2019
      データセットを選択
      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.
  • G
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 08 11月, 2017
      データセットを選択
      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. As part of this study, estimates for daily smoking prevalence and smoking-attributable mortality and disease burden, as measured by disability-adjusted life years (DALYs), were produced by sex, age group, and year for 195 countries and territories. Estimates for deaths and DALYs (1990-2015) are available from the GBD Results Tool. Files available in this record include daily smoking prevalence (1980-2015) and annualized rate of change estimates. Study results were published in The Lancet in April 2017 in "Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015." Date ranges have been considered as follows: 1990-2015 as 1990 1990-2005 as 2005 2005-2015 as 2015
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 27 10月, 2017
      データセットを選択
      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.
    • 7月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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/
    • 5月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 5月, 2019
      データセットを選択
      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'.
    • 11月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 30 11月, 2018
      データセットを選択
      Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective national health spending estimates for 1995-2016 for 184 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. National health spending by source, including development assistance for health, was estimated based on a diverse set of data, including program reports, budget data, national estimates, and 964 National Health Accounts. The resulting estimates were used to help produce forecasted health spending estimates for 2015-2040. Results of the study were published in The Lancet in April 2017 in "Evolution and patterns of global health financing 1995–2016: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries."
    • 11月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 23 11月, 2018
      データセットを選択
      Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2016-2040 for 188 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. GDP and all-sector government spending were extracted for 1980–2015 and used with retrospective health spending estimates for 1995-2015 to forecast GDP, all-sector government spending, and health spending through 2040. Results of the study were published in The Lancet in April 2018 in "Trends in future health financing and coverage: future health spending and universal health coverage in 188 countries, 2016–2040."
    • 3月 2019
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 5月 2018
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 12 12月, 2018
      データセットを選択
      Global Trends in Prevalence of Tobacco Smoking 2000-2025
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2019
      データセットを選択
  • H
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2019
      データセットを選択
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2015
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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.
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2015
      データセットを選択
      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.
    • 11月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 13 11月, 2017
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2019
      データセットを選択
      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
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2019
      データセットを選択
      OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse healthcare systems.
    • 6月 2010
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      データセットを選択
      OECD Health Data 2010 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2019
      データセットを選択
    • 12月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 26 12月, 2018
      データセットを選択
      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
    • 4月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 5月, 2018
      データセットを選択
      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).
    • 10月 2011
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2019
      データセットを選択
      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
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2019
      データセットを選択
      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). Life expectancy at age 65 is defined as the mean number of years still to be lived by a person at age 65, if subjected throughout the rest of his or her life to the current mortality conditions.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 3月, 2018
      データセットを選択
      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
    • 4月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 4月, 2018
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2019
      データセットを選択
      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.
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 11月, 2015
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      Hospital beds provide information on health care capacities, i.e. on the maximum number of patients who can be treated by hospitals. Total hospital beds are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients; both occupied and unoccupied beds are covered. Hospitals are defined according to the classification of health care providers of the System of Health Accounts (SHA); all public and private hospitals should be covered.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 07 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
    • 8月 2018
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 20 12月, 2018
      データセットを選択
      The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
  • I
    • 12月 2010
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 31 7月, 2013
      データセットを選択
      IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
    • 9月 2011
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      データセットを選択
      IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 11月, 2015
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 9月, 2016
      データセットを選択
      Within the last 3 months before the survey. Information about health includes: injury, disease, nutrition, improving health, etc.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. ICT usage data are also used in the Consumer Conditions Scoreboard (purchases over the Internet) and in the Employment Guidelines (e-skills of individuals). The aim of the European ICT surveys is the timely provision of statistics on individuals and households on the use of Information and Communication Technologies at European level. Data for this collection are supplied directly from the surveys with no separate treatment. Coverage: The characteristics to be provided are drawn from the following list of subjects: access to and use of ICTs by individuals and/or in households,use of the Internet and other electronic networks for different purposes by individuals and/or in households,ICT security and trust,ICT competence and skills,barriers to the use of ICT and the Internet,perceived effects of ICT usage on individuals and/or on households,use of ICT by individuals to exchange information and services with governments and public administrations (e-government),access to and use of technologies enabling connection to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns (see details of available breakdowns): Relating to households: by region of residence (NUTS 1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area) by type of householdby households net monthly income (optional) Relating to individuals: by region of residence (NUTS1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation: (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area)by genderby country of birth, country of citizenship (as of 2010, optional in 2010)by educational level: ISCED 1997 up to 2013 and ISCED 2011 from 2014 onwards.by occupation: manual, non-manual; ICT (coded by 2-digit ISCO categories)/non-ICT (optional: all 2-digit ISCO categories)by employment situationby age (in completed years and by groups)legal / de facto marital status (2011-2014, optional) Regional breakdowns (NUTS) are available only for a selection of indicators disseminated in the regional tables in Eurobase (Regional Information society statistics by NUTS regions (isoc_reg): Households with access to the internet at homeHouseholds with broadband accessIndividuals who have never used a computerIndividuals who used the internet, frequency of use and activitiesIndividuals who used the internet for interaction with public authoritiesIndividuals who ordered goods or services over the internet for private useIndividuals who accessed the internet away from home or work
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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.
    • 4月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 5月, 2019
      データセットを選択
      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).
    • 5月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 03 6月, 2019
      データセットを選択
      .. - data not available Source: UNECE Statistical Database, compiled from national and international (WHO European health for all database, Eurostat and UNICEF TransMONEE) official sources. Definition: The infant mortality rate is the number of deaths of infants under one year of age per 1000 live births in a given year. Country: Azerbaijan Break in methodlogy (2000): Change in calculation methodology. Country: Cyprus Data cover only government controlled area. Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Italy Change in definition (1980 - 2011): Data refer to resident or non resident population. Country: Malta From 2001: data include foreign residents. Country: Serbia Break in methodlogy (2005): Change in data processing methodology. Country: Serbia Territorial change (2000 - 2012): Data do not cover Kosovo and Metohija. Country: Tajikistan Additional information (1980 - 2012): Data are from births and deaths register. Country: Ukraine From 2014 data cover the territories under the government control.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2019
      データセットを選択
  • L
    • 11月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 21 11月, 2018
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 12月 2017
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 12月, 2017
      データセットを選択
      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).
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 5月, 2019
      データセットを選択
    • 5月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 5月, 2019
      データセットを選択
      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).
    • 11月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2018
      データセットを選択
      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.
  • M
    • 8月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 24 3月, 2019
      データセットを選択
    • 8月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2018
      データセットを選択
      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.
    • 7月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2018
      データセットを選択
      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.
    • 3月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 20 3月, 2019
      データセットを選択
      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.
  • N
    • 2月 2019
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 08 2月, 2019
      データセットを選択
      National Health Accounts (NHA) provides evidence to monitor trends in health spending for all sectors- public and private, different health care activities, providers, diseases, population groups and regions in a country. It helps in developing nationals
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2019
      データセットを選択
      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).
    • 4月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2018
      データセットを選択
      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).
    • 7月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2018
      データセットを選択
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
  • O
    • 8月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 24 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 24 3月, 2019
      データセットを選択
      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.
    • 10月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
  • P
    • 10月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 3月, 2019
      データセットを選択
      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.
    • 10月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
    • 4月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2018
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2019
      データセットを選択
      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.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 3月, 2018
      データセットを選択
      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.
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      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.
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 5月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 12月, 2015
      データセットを選択
      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
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
      データセットを選択
      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.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 6月, 2014
      データセットを選択
      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.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2015
      データセットを選択
      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.
    • 2月 2010
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2014
      データセットを選択
      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.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2015
      データセットを選択
      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.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2014
      データセットを選択
      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.
    • 3月 2009
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 08 6月, 2014
      データセットを選択
      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.
    • 9月 2014
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      Description not available
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 24 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2019
      データセットを選択
      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.
    • 4月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 5月, 2019
      データセットを選択
      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.
    • 4月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 5月, 2019
      データセットを選択
      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 areaFatalities in road accidents by type of vehicle   Please note that data referring to the French Départements d’Outre-Mer (overseas territories) and the Portuguese autonomous regions of Açores and Madeira are not available and hence excluded from the respective national totals and the EU aggregates.   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.   For the road accident fatalities by type of vehicle, please note that the position OTH (‘Other’) in the dimension VEHICLE corresponds to pedestrians. 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.
    • 4月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 5月, 2019
      データセットを選択
      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.
    • 4月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 5月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 4月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 4月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 5月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2019
      データセットを選択
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
    • 7月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2019
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      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.
    • 8月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 11月, 2015
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      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
    • 5月 2019
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 03 6月, 2019
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      Source: UNECE Statistical Database, compiled from national official sources. Definition: Body Mass Index (BMI) is the international standard for measuring underweight, overweight, and obesity and is defined as the weight of a person (in kg) divided by the square of the person’s height (in metres): kg/sqm. Standard BMI categories are: BMI less than 18.5 kg/sqm = underweight. BMI between 25 and 30 kg/sqm = overweight. BMI 30kg/sqm and more = obesity. General note: Percentage .. - data not available Country: Armenia 2005: Data refer to population aged 15-49 and age groups: 20-44 refers to 20-29, 45-64 refers to 30-39 and 65+ refers to 40-49. Country: Austria Break in methodlogy (2006): Data for 2006 come from the Autrian Health Interview Survey, before 2006 from the Labour force Survey ad hoc module on smoking habits. Country: Austria Change in definition (1990): Data refer to population aged 20+. Country: Austria Change in definition (2000): Data refer to population aged 20+ Country: Austria Reference period (1990): Data refer to 1991. Country: Austria Reference period (2000): Data refer to 1999. Country: Belarus Data refer to population aged 16+. Country: Belgium 15-19 age group refers to 18-19 years old Country: Bulgaria Break in methodlogy (2008): 2008 data come from the European Health Interview Survey and 2001 from the Demographic and Health survey. Country: Canada Data exclude institutional residents and full-time members of the Canadian Forces. Country: Canada Data exclude residents of Indian Reserves, Crown Lands and certain remote regions. Country: Croatia Change in definition (2003): Data refer to population aged 18+. Country: Cyprus Data cover only government controlled area. Country: Czechia 1990, 1995 and 2000: data refer to 1993, 1996 and 1999. Country: Denmark Data refer to population aged 16+ and age group 15-19 refers to 16-19. Country: Denmark Data collection mode changed from face-to-face interview to self-administered questionnaires in 2010. Country: Denmark Reference period (1990): Data refer to 1987. Country: Denmark Reference period (1995): Data refer to 1994. Country: Estonia Data refer to population aged 16-64. Country: Estonia Reference period (1995): Data refer to 1996 Country: Finland Data refer to population aged 15-64. Age group 65+ refers to 65-84 year olds. Country: France BMI is calculated on the basis of the declared weight of respondents. Country: France Reference area: 2003, 2014 - Metropolitan France; 2008 - Metropolitan France and overseas departments. Country: Germany Data refer to population aged 18+. 2000: data refer to 1999. Country: Hungary Data refer to population aged 18+. Country: Iceland Data refer to population aged 20-80 except in 2007 and 2012 where data refer to population aged 18-79. Data are not published for the age group 18-24 (15-24) as figures are too small. Country: Ireland Data refer to population aged 18+. Age group 15-19 refers to 18-19. - 2000: data refer to 1998. From 2015, data refer to population aged 15 and over and are measured data. Individuals interviewed in the Health Ireland survey 2015 survey were asked to undertake a physical measurement module. Country: Israel Break in methodlogy (2010): For 2010 data come from the Social Survey while for 2003 data come from the Knowledge, attitude and practice (KAP) Survey. Country: Israel Change in definition (2003): Data refer to population aged 21+. Country: Israel Change in definition (2010): Data refer to population aged 20+. Country: Italy Change in definition (1990 - 2012): Data refer to population aged 18+. Country: Italy Reference period (1995): Data refer to 1994. Country: Italy Reference period (2000): Data refer to 1999/2000. Country: Latvia Data for 2003 - from the Health Interview Survey. Data cover population 15-75 years old.Data for 2004, 2006, 2010 and 2012 - from Health Behaviour Survey among Latvian Adult population. Data cover population 15-64 years old.Data for 2008 and 2014 - from the European Health iInterview Survey (EHIS). Data cover population 15+, age groups: 15-19 refers to 15-24; 20-44 refers to 25-44. Country: Malta Data refer to population aged 18+ residing in private households. 2003: data for age group 15 - 24 are not available due to under-representation. Country: Netherlands Data refer to population aged 20 and over. Over