إسبانيا

This data collection presents summary tables intended to give an overview of the uptake of organic farming within the whole European Union and in each several country, plus Norway and Switzerland. Organic farming has to be understood as a part of a sustainable farming system and a viable alternative to the more traditional approaches to agriculture. Data are available for the following indicators: 1. Number of registered organic operators (table 'Food_act2') 2. Number of registered operators processing and importing products issued from organic farming (table 'Food_act3') 3. Organic crop area (table 'Food_in_porg1') 4. Organic crop production and yields from fully converted areas (table 'Food_in_porg2') 5. Organic livestock (table 'Food_in_porg3') 6. Production of organic animal products (table 'Food_pd_dmorg') Detailed information on the indicators provided in this collection may be found in the document 'Organic farming_additional information' (please see under 'Annex' at the bottom of this page).

The FAOSTAT monthly CPI Food CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), the Latin America and the Caribbean statistics (CEPALSTAT), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI. The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The CPI,all items is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts.

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

The EU Agricultural Price Indices (output and input) comprise:the index of producer prices of agricultural products;the index of purchase prices of the means of agricultural production. The purpose of the price indices is to provide information on trends in producer prices of agricultural products and purchase prices of the means of agricultural production. They are intended to permit a comparison of these trends both between the various Member States and the European Union as a whole and between the different products within a Member State or the European Union. They are also intended to facilitate comparisons between trends in producer prices and trends in purchase prices of the means of agricultural production. They cannot, however, express differences between the Member States in terms of absolute agricultural price levels The following points should be borne in mind when interpreting the EU Agricultural Price Indices:As regards spatial comparisons, the structures of the weights with respect to products and means of production reflect the value of the sales and purchases in each country during the base year. The weights therefore differ from one country to another and this obviously has an effect on trends in the aggregate indices.In comparing the trends in output prices with those in input prices, the field of observation of the latter does not cover, as will be seen later, the whole of the operating expenditure of the agricultural sector.The comparison between quarterly price indices can be made only between the corresponding quarters of different years. The reason is the variation of the weights from quarter to quarter for the output products. In the majority of Member States, national indices of agricultural prices may differ from the EU Agricultural Price Indices in respect of their base, formula or field of observation. Please take note that, currently, 2010=100 EU28 aggregation does not include Estonia.

The EU Agricultural Price Indices (output and input) comprise:the index of producer prices of agricultural products;the index of purchase prices of the means of agricultural production. The purpose of the price indices is to provide information on trends in producer prices of agricultural products and purchase prices of the means of agricultural production. They are intended to permit a comparison of these trends both between the various Member States and the European Union as a whole and between the different products within a Member State or the European Union. They are also intended to facilitate comparisons between trends in producer prices and trends in purchase prices of the means of agricultural production. They cannot, however, express differences between the Member States in terms of absolute agricultural price levels The following points should be borne in mind when interpreting the EU Agricultural Price Indices:As regards spatial comparisons, the structures of the weights with respect to products and means of production reflect the value of the sales and purchases in each country during the base year. The weights therefore differ from one country to another and this obviously has an effect on trends in the aggregate indices.In comparing the trends in output prices with those in input prices, the field of observation of the latter does not cover, as will be seen later, the whole of the operating expenditure of the agricultural sector.The comparison between quarterly price indices can be made only between the corresponding quarters of different years. The reason is the variation of the weights from quarter to quarter for the output products. In the majority of Member States, national indices of agricultural prices may differ from the EU Agricultural Price Indices in respect of their base, formula or field of observation. Please take note that, currently, 2010=100 EU28 aggregation does not include Estonia.

IRMA is computed on one representative ton of the food aid basket the user has selected. The "representativity" of the ton comes from the fact that the shares of the commodities are the same as those in the total selected food basket. Therefore it can be used for comparisons among food aid baskets of different size and in understanding how much of their difference in nutritional content is due to the absolute value in metric tons of the donations and how much is due to the nutritional qualities of food delivered.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.

The energy intake of a human being is the only one among the nutrients that cannot in the short run be renounced without putting at immediate risk the possibility of survival itself. A lack of other nutrients increases susceptibility to infections and slows cognitive development and growth, contributing to poorer school performance and reduced work productivity. These effects are largely irreversible and long term, particularly when they occur at a young age. For these reasons, the IRMAs computation takes the content of Energy as a benchmark to compare with the other nutrients' content. For the calculation of IRMAs, we start with the IRMA values for each nutrient. IRMA of a nutrient counts the number of average individuals that could potentially be satisfied by the nutrient contained in a ton of food aid.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.

IRMAt (Individual Requirements Met on Average, Total) can be considered an alternative measure for food aid deliveries. By knowing how many tons of which commodity are contained in the food aid basket, it is easy to compute how many micrograms of nutrients there are in the overall basket. But, a measure like that would not be easy to interpret. Furthermore, each nutrient is measured in a different unit (for example, vitamin C is measured in micrograms and fat is measured in grams). IRMAt 'standardizes' the nutritional content of food aid by taking it as a percentage of human nutritional requirements. IRMAt of a nutrient is nothing but the number of individual requirements that could potentially be met on an annual basis by the total food aid deliveries selected. IRMAt values are descriptive of a food aid basket and are dependent on the absolute value in tonnage. They give information that reflects both nutritional content and the size of the food aid deliveries. From this point of view IRMAt can be considered a unit of measurement for food aid flows: it measures food aid basket by the number of average individuals that its nutritional content could potentially satisfy.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.

The Food Price Monitoring Tool intends to analyse the available data on price developments through the supply chain. The supply chain is a series of economic activities that are performed by different economic actors that contribute to the production and distribution of one consumer product or a group of consumer products. The Food Price Monitoring Tool monitors 15 supply chains. It compares the price indices of four stages of the supply chain:Retail sector: the harmonised index of consumer prices (HICP)Domestic food industry: the domestic producer price index (PPId)Imported products: the import price index based on unit values from international trade in goods statisticsAgricultural commodities: the agricultural commodity prices index (ACP)

The OECD food waste dataset is a compilation of available data related to food loss and food waste for 32 countries. The period covered may vary across different countries depending on data availability (globally ranging from 1993 to 2013). Several types of sources have been used: international organisations, government and national statistic institutes, OECD delegations, academic studies and private sector or>>/governmental analytical reports. When available, detailed information on sources is provided in the "variable def. and sources" (eg. references to an academic article or a government website).

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 obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."

Around the world, one in eight people go to bed hungry every night, even though there is enough food for everyone. Our graph illustrates how over consumption, misuse of resources and waste are common elements of a system that leaves hundreds of millions without enough to eat.

Statistics about processed meat products in Japan. The data includes production volume, imports, delivered volume, etc. (Japanese only). Japan: Ham & Sausage Processors Cooperative Association, Monthly Update

Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements.Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics

To view the original national data please open the questionnaires. Source: Joint Forest Europe / UNECE / FAO Questionnaire on Pan-European Indicators for Sustainable Forest Management. Country: Russian Federation The source of the data of Russian Federation is the National Report for the Joint Forest Europe / UNECE / FAO reporting on quantitative pan-European indicators 2011.

Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below.   Table 3.1: Data tables disseminated regarding animal production statistics

Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below.   Table 3.1: Data tables disseminated regarding animal production statistics

Milk powder is one of two products (with butter) whose marketing can be sustained by public authorities. Since the implementation of milk quotas milk powder stocks have considerably decreased. EU15: Eurostat estimation including confidential data.

Quantity Reporting: Measure food aid deliveries in metric tons

The Retail Trade Index is a business cycle indicator which shows the monthly activity of the retail sector in value and volume. It is a short-term indicator for final domestic demand. It should be noted that the volume of sales is different from the volume of (retail) trade services. The latter takes account of changes in the quality of the trade service supplied. As such the volume of sales is conceptually different from the index of production which takes account of quality changes. Data are compiled according to the Statistical classification of economic activities in the European Community, (NACE Rev. 2, Eurostat). Turnover for retail trade are compiled as a "fixed base year Laspeyres type volume-index". The current base year is 2015 (Index 2015 = 100). The index is presented in calendar and seasonally adjusted form. Growth rates with respect to the previous month (M/M-1) are calculated from calendar and seasonally adjusted figures while growth rates with respect to the same month of the previous year (M/M-12) are calculated from calendar adjusted figures.

Source: UNECE Statistical Database, compiled from national official sources. Definition: Smoking is defined as the daily smoking of at least one cigarette. General note: Percentage .. - data not available Country: Armenia 1995: data refer to 1997. 2010: data refer to age group 15-49. Country: Austria Break in methodlogy (2006): Data for 2006 come from the Autrian Health Interview Survey, for 1995 from the Labour force Survey ad hoc module on smoking habits. Country: Austria Reference period (1995): Data refer to 1997. Country: Belarus Data refer to population aged 16+. 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 (1995): data refer to age group 18-65. Country: Croatia Change in definition (2003): data refer to population aged 18+. Country: Croatia Reference period (2012): data refer to 2011. Country: Cyprus Reference period (1990): Data refer to 1989. Country: Cyprus Data cover only government controlled area. Country: Czechia 2004: data refer to population aged 18-64; age group 15-24 refers to 18-24. 1990, 1995 and 2000: data refer to 1993, 1996 and 1999. Country: Denmark Change in definition (1990 - 2013): Data refer to population aged 16+; age group 15-24 refers to 16-24. Country: Estonia Data refer to population aged 16-64; age group 15-24 refers to 16-24. Country: Estonia Reference period (1995): Data refer to 1996 Country: France Change in definition (1995 - 2000): Data refer to population aged 18-74; age group 15-24 refers to 18-24. Country: France Change in definition (2002 - 2014): Data refer to population aged 15-75 Country: France Territorial change (2002 - 2014): Data cover only Metropolitan France. Country: Germany 2000: data refer to 1999. Country: Iceland Change in definition (1990 - 2013): Data for smokers 15+ refers to persons aged 15-89. As of 2014, data refer to persons aged 18-89. Data for smokers aged 15-24 refers to persons aged 18-24 as of 2014. Country: Ireland Age group 15-24 refers to 15-23. 2000: data refer to 1998. 2000-2002: data include occasional smokers. 2003: data refer to people smoking one or more cigarettes a week. From 2015, data related to the population aged 15 and over who report that they are daily smokers. Country: Israel Additional information (1995 - 2013): Data are based on different surveys and methodologies across years. Country: Israel Change in definition (1995 - 2010): Data refer to population aged 20+. Country: Israel Change in definition (2003): Data refer to population aged 20+. Data refer to population aged 21+ and based on health survey. Country: Israel Change in definition (2013): Data refer to population aged 21+. Country: Israel Reference period (1995): Data refer to 1996-1997. Country: Israel Reference period (2000): Data refer to 1999-2000. Country: Israel Reference period (2003): Data refer to 2003-2004. Country: Italy Break in methodlogy (2001): From 2001 data come from survey "Aspects of daily life" , before 2001 data come from survey "Health condition and use of health services". Country: Italy Reference period (1995): Data refer to 1994. Country: Kazakhstan Age group 15+ refers to 15-49. 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+. Country: Malta Data refer to population aged 18+ residing in private households. Data for age group 15 - 24 are not available due to under-representation. Country: Moldova, Republic of Additional information (2010 - 2012): Data exclude the territory of the Transnistria and municipality of Bender Country: Moldova, Republic of Change in definition (2010 - 2012): Smoking is defined as daily smoking or smoking sometimes Country: Moldova, Republic of Reference period (2010): The survey was conducted in August-October 2010 Country: Moldova, Republic of Reference period (2012): The survey was conducted in July-September 2012 Country: Netherlands Change in definition (1990 - 1995): Data refer to population age 16+. Country: Netherlands Data include all types of smokers. In 2014, interviewing and weighting method was changed, causing a break in the time series. Country: Norway Change in definition (1980 - 2009): Date refer to three-year average. Country: Norway Data refer to population aged 16-74; age group 15-24 refers to 16-24. Country: Poland Reference period (1995): Data refer to 1996. Country: Portugal Before 2005: data cover only mainland territory (without Autonomous Regions of Acores and Madeira). 1995, 2000, 2005: data refer to 1995/1996, 1998/1999 and 2005/2006. Country: Romania Break in methodology (2009): From 2009 change in data source Country: Russian Federation Change in definition: Data refer to daily smokers of age 15+. Country: Slovenia Change in definition (1990): Data for population aged 15+ refer to age 18+. Country: Slovenia Change in definition (1995 - 2000): Data for population aged 15+ refer to age 18+. Age group 15-24 refers to 15-16. Country: Slovenia Change in definition (2001 - 2004): Data for population aged 25-64. Country: Slovenia Change in definition (2008 - 2012): Data for population aged 25-74. Country: Slovenia Reference period (1990): Data refer to 1988. Country: Slovenia Reference period (1995): Data refer to 1994. Country: Slovenia Reference period (2000): Data refer to 1999. Country: Spain Break in methodlogy (2003): Proxy were allowed Country: Spain Break in methodlogy (2009): Questionnaire self-administered Country: Spain Change in definition (1980 - 2003): Data refer to population aged 16+. Age group 15-24 refers to 16-24. Data refer to Spanish nationals only. Country: Spain Change in definition (2006 - 2009): Data refer to population aged 16+. Age group 15-24 refers to 16-24. Country: Spain Reference period (1990): Data refer to 1993. Country: Spain Reference period (2000): Data refer to 1997. Country: Sweden Change in definition (1980 - 2001): Age group 15+ refers to 16+, age group 15-24 refers to 16-24. Data refer to population aged 16-84. Country: Sweden Change in definition (2002 - onwards): Age group 15+ refers to 16+, age group 15-24 refers to 16-24. Country: Sweden Data do not include snuff users and smokers Country: Switzerland Reference period (1990): Data refer to 1992. Country: Switzerland Reference period (1995): Data refer to 1997. Country: Turkey Break in methodlogy (2006): Data come from the Life Satisfaction Survey. For other years data come from a different source. Country: Turkey Break in methodlogy (2008, 2012): Data for 2008 and 2012 come from the Global Adult Tobacco Survey. For other years data come from a different source. Country: Turkey Break in methodlogy (2010, 2014): Data come from the Health Interview Survey. For other years data come from a different source. Country: Ukraine From 2014 data cover the territories under the government control. Country: Ukraine Territorial change (2000 - 2013): The territorial sample exclude localities in the territory which was radioactively contaminated by the Chernobyl disaster . Country: United Kingdom Change in definition (1980 - onwards): Data refer to population aged 16+. Smokers are defined as anyone who has ever smoked and describes themselves as a current smoker. Age group 15-24 refers to 16-24. Country: United Kingdom Reference period (1995): Data refer to 1994. Country: United Kingdom Reference period (2005): Estimates prior to 2005 are based on a fiscal year rather than a calendar year. Country: United Kingdom Territorial change (1980 - onwards): Estimates are for Great Britain excluding Northern Ireland. Country: United States Data for 1980 include persons aged 17+, for all other years data refer to the population aged 18+. 1980, 1990: data refer to both daily and nondaily smokers.

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

The EU Agricultural Price Indices (output and input) comprise:the index of producer prices of agricultural products;the index of purchase prices of the means of agricultural production. The purpose of the price indices is to provide information on trends in producer prices of agricultural products and purchase prices of the means of agricultural production. They are intended to permit a comparison of these trends both between the various Member States and the European Union as a whole and between the different products within a Member State or the European Union. They are also intended to facilitate comparisons between trends in producer prices and trends in purchase prices of the means of agricultural production. They cannot, however, express differences between the Member States in terms of absolute agricultural price levels The following points should be borne in mind when interpreting the EU Agricultural Price Indices:As regards spatial comparisons, the structures of the weights with respect to products and means of production reflect the value of the sales and purchases in each country during the base year. The weights therefore differ from one country to another and this obviously has an effect on trends in the aggregate indices.In comparing the trends in output prices with those in input prices, the field of observation of the latter does not cover, as will be seen later, the whole of the operating expenditure of the agricultural sector.The comparison between quarterly price indices can be made only between the corresponding quarters of different years. The reason is the variation of the weights from quarter to quarter for the output products. In the majority of Member States, national indices of agricultural prices may differ from the EU Agricultural Price Indices in respect of their base, formula or field of observation. Please take note that, currently, 2010=100 EU28 aggregation does not include Estonia.

The EU Agricultural Price Indices (output and input) comprise:the index of producer prices of agricultural products;the index of purchase prices of the means of agricultural production. The purpose of the price indices is to provide information on trends in producer prices of agricultural products and purchase prices of the means of agricultural production. They are intended to permit a comparison of these trends both between the various Member States and the European Union as a whole and between the different products within a Member State or the European Union. They are also intended to facilitate comparisons between trends in producer prices and trends in purchase prices of the means of agricultural production. They cannot, however, express differences between the Member States in terms of absolute agricultural price levels The following points should be borne in mind when interpreting the EU Agricultural Price Indices:As regards spatial comparisons, the structures of the weights with respect to products and means of production reflect the value of the sales and purchases in each country during the base year. The weights therefore differ from one country to another and this obviously has an effect on trends in the aggregate indices.In comparing the trends in output prices with those in input prices, the field of observation of the latter does not cover, as will be seen later, the whole of the operating expenditure of the agricultural sector.The comparison between quarterly price indices can be made only between the corresponding quarters of different years. The reason is the variation of the weights from quarter to quarter for the output products. In the majority of Member States, national indices of agricultural prices may differ from the EU Agricultural Price Indices in respect of their base, formula or field of observation. Please take note that, currently, 2010=100 EU28 aggregation does not include Estonia.

Data cited at: World Atlas   Coffee consumption by country.