FOOD CONSUMPTION INDICATORS: RESULTS USING DATA

Transcription

1 Luxembourg, December 2011 RDR/AMP Directorate F: Social Statistics and Information Society Unit F5: Health and food safety; Crime ---- Doc. (available in EN) Orig. : EN FOOD CONSUMPTION INDICATORS: RESULTS USING DATA COLLECTED FROM THE HOUSEHOLD BUDGET SURVEY

2 Food safety statistics 1. INTRODUCTION BACKGROUND DATA AVAILABLE USING FOOD QUANTITIES FROM HBS RESULTS MEAN DAILY FOOD QUANTITIES PER PERSON ANALYSIS BY MAIN CONSUMPTION DETERMINANTS CONCLUSION ANNEX I: LIST OF FOOD CONSUMPTION INDICATORS TO MONITOR FOOD SAFETY AND HEALTH AND NUTRITION POLICY ANNEX II: METHODOLOGY STEP 1. IDENTIFICATION OF MISSING VALUES STEP 2. CALCULATION OF AGGREGATED QUANTITIES STEP 3. CALCULATION OF QUANTITY PURCHASED PER PERSON FOR EACH HOUSEHOLD I (HQPI) STEP 4. CALCULATION OF THE AVERAGE QUANTITY PURCHASED PER PERSON STEP 5. ANNUALISE, IF NEEDED, THE VALUES OBTAINED IN STEP STEP 6. ESTIMATE DAILY AVERAGE OF FOOD CONSUMPTION ANNEX II: ANNUAL MEAN FOOD AVAILABILITY PER PERSON ANNEX III: DAILY MEAN FOOD AVAILABILITY PER PERSON ANNEX V: DETAILED FOOTNOTES INTRODUCTION This document presents the summary results of using data on food quantities purchased by households in order to estimate a set of indicators on food consumption. The results are based on data provided by those Member States already collecting food quantities from their national Household Budget Surveys (HBS). Results refer to HBS waves. 2. BACKGROUND Based on the general requirement to have statistical data on food consumption in a sustainable and harmonised way the Working Group Food safety statistics selected food consumption as a priority theme at the end of 2003 and decided to establish a Task Force on this topic during. The Working Group also recommended analysing already available data sources before launching new surveys. The Task Force set up in, identified a wide range of needs for food consumption data and consumption determinants (educational level, type of settlement, income level, etc.), and showed that the potential data sources not only fail to meet all requirements but also are not harmonised at EU level. There was also necessity to distinguish the data required to monitor policies from the data essential to conduct scientific studies and as the scope of the work was too wide, it was decided that the statistical offices should be only involved in the collection of data to monitor policies. 1/57

3 Food safety statistics Therefore, Eurostat addressed its work in 2006 in two directions. On one hand trying to involve its partners in food consumption data collection by launching grants to help the statistical offices to find efficient ways to collect these data. On the other, Eurostat launched a call for tenders to design a limited number of indicators to monitor two of the policy needs: food safety and health and nutrition. The contractor RIVM 1 carried out this work during 2007 and the Task force was re-edited with the objective of assisting Eurostat and the contractor to identify the final list of indicators. It also analysed the usefulness of available data sources for building the indicators. This work led to the identification of several indicators of food consumption to monitor some 'food safety risks due to contaminants' and 'health and nutrition' policies (see Annex I). The analysis of the three data sources (Supply Balance Sheets, DAFNE and EFSA concise database) carried on by RIVM showed that DAFNE 2 (based on Household Budget Surveys) and the EFSA concise database (based on dietary surveys) could provide usable data for most of the indicators related to health and nutrition while none of the analysed data sources seemed usable to build indicators related to the selected contaminants. Following the results of the work carried out in 2007 Eurostat decided to concentrate its efforts on continuing the work done previously by the DAFNE project because Eurostat already receives a lot of variables from the Household Budget Surveys carried on by National Statistical Offices. For this purpose, Eurostat organised a written consultation in February 2008 of members of both 'Living Conditions' and 'Food Safety' Working Groups to evaluate the possibilities and willingness of Member States to send to Eurostat also the data on food quantities in the requested format (micro-data files at household level, or aggregated tables) for those countries where this information was already collected for national purposes within the most recent wave of HBS (2004-). For the cases where national authorities needed financial support to carry out this work Eurostat launched a call for proposals during Eurostat received data on food quantities purchased by households from 21 countries: 17 in the form of micro-data and 4 of them only as aggregated tables (food purchased by adult equivalent). At the meeting of the Working Group "" held on June 2010, Eurostat presented the first preliminary results (see doc. ESTAT/F5/ES/204 First results using data collected from HBS ). A more complete methodological work was presented later on at the meeting of the Working Group Statistics on Living Conditions held on May During the discussions held at that meeting it appeared that the analysis should focus on estimating the average food consumption by person rather than the food consumption by adult equivalent as initially planned. Eurostat has reviewed all the calculations in order to estimate the food consumption per person. This document and its annexes present the full results of this work. 1 RIVM: Dutch National Institute for Public Health and the Environment 2 DAFNE: Data Food Network, EU project financed by the EU 2/57

4 Food safety statistics 3. DATA AVAILABLE Eurostat received data on food quantities purchased by households from 21 countries, nine of them with the financial help from Eurostat. Table 1 below summarises the data provided: Table 1 Data on food quantities collected from 2004/ HBS surveys and provided to Eurostat Grants 2008 Without financial help Micro-data at individual level Micro-data at household level Aggregated tables (average food quantities per adult equivalent) BE, BG, EL, LV, LT, HU, MT BE, BG, EL, DE, NL RO EE, ES, FR, PL, RO, SI, SK, FI, UK, NO CZ, PT As indicated on the table above, Belgium, Bulgaria and Greece provided micro-data files at household level as well as aggregated tables and Romania provided both micro-data files at household and individual level. Denmark, Italy, Luxembourg, Cyprus, Austria, Portugal, Sweden and Iceland were not collecting food quantities at that time. However Cyprus mentioned their intention to collect them in their 2008/2009 survey and Austria and Sweden indicated they would do it in their next surveys (2009/2010). Italy mentioned that, from previous experiences, including food quantities in the survey had a negative impact on collecting expenditure in monetary terms, which is the main objective of the Household Budget Surveys. Luxembourg experienced similar problems. Italy mentioned their plans to have a separate survey (satellite to the HBS) every 5 years for example, focusing on collecting food consumption and not on food expenditure. Denmark explored in the possibility to estimate food quantities purchased by households by deflating food expenditure with the help of consumer prices. The results included in this report are based on micro-data at household level and as a consequence, they concern only the countries providing such data (countries in second row of table 1). 4. USING FOOD QUANTITIES FROM HBS Although there is a clear distinction between the "food quantities purchased by households" and the real "food consumption of households", the first-one could be used as a proxy variable for "food consumption", which is the variable of interest. In several countries, data also include food quantities received by the household from gifts as well as food obtained from the household kitchen garden. So, the food quantities collected from household budget surveys could be considered as the "food available" to the persons living in the household. Eurostat has estimated: 3/57

5 Food safety statistics the average daily food quantities purchased per person (food available per person), at the detailed COICOP 5-digit level as well as at the upper aggregated levels (COICOP 4-digits) when they were not provided. some of the agreed food consumption indicators to monitor health and nutrition policies. The indicators were calculated as aggregates of items at the most detailed COICOP level, where data were available and of good quality. From the list of agreed indicators, Eurostat estimated Fruit consumption and Vegetable consumption. They are highly required and should be of good quality taking into consideration the available level of detail of the data required. Eurostat also calculated the availability per person of "Sugar containing beverages". The Task Force also identified possible determinants of food consumption like the educational level of the household head, the type of settlement, etc. So, Eurostat has also calculated: Average daily food quantities purchased per person, by: o educational level of the household head o type of settlement o income quartile The methodology used for the calculations is described in Annex II. 5. RESULTS Annual mean food availability per person and the Daily means food availability per person have been calculated for the following 16 countries: Belgium, Bulgaria, Estonia, Greece, Spain, France, Latvia, Lithuania, Hungary, Malta, Poland, Romania, Slovenia, Slovakia, United Kingdom and Norway. Detailed tables are presented respectively in Annex III and Annex IV. Results for Finland are not included in the report because there was no clear information on the reference period of the collected food quantities. Data for Germany, Czech Republic, Netherlands and Portugal are also not included in this report because they were not provided in the form of micro-data but as aggregated data on quantities purchased by adult equivalent. Some countries used units of measurement different than those proposed by Eurostat. In some cases, Eurostat used a conversion in order to summarise the results for all countries. For example, most of the countries measure oils (olive oil and other edible vegetable oils) in litres; quantities in kg provided by Norway have been converted by Eurostat into litres using 1 litre = 0.9 kg. At the contrary, most of the countries provided eggs in units, Norway in kg. No conversion from kg to units has been made in this case Mean daily food quantities per person The results of Daily average of food purchased (food availability) by person are presented in Annex IV. The following charts illustrate the comparison across countries. 4/57

6 Food safety statistics Mean quantities of food products purchased, by person (g/day) BG EE EL 2004/ ES 2004 FR LV LT HU MT 2008 PL * RO SI 2004 SK 2006 UK NO HQ0111 Bread and cereals HQ0112 Meat HQ0113 Fish HQ0113 Fruit, including fruit juices * Poland: measurement unit for Bread and cereals not mentioned Mean quantities of fresh, chilled or frozen meat purchased by person (g/day) BE BG EE EL 2004/ ES 2004 FR LV LT HU MT 2008 PL RO SI 2004 SK 2006 UK NO HQ01121 Beef and veal HQ01122 Pork HQ01123 Sheep and goats HQ01124 Poultry 90.0 Mean quantities of meat products and preparations purchased, by person (g/day) BE BG EE EL 2004/ ES 2004 FR LV LT HU MT 2008 PL RO SI 2004 SK 2006 UK NO HQ01125 Dried, salted or smoked meat and edible meat offal HQ01126 Other preserved or processed meat and meat preparations 5/57

7 Food safety statistics 0.7 Mean quantities of eggs purchased, by person (units/day) BE BG EE ES 2004 FR LV LT HU MT 2008 PL RO SI 2004 SK 2006 Data for Norway are not included on this chart because provided in number of units. Data for Greece is close to 0. UK Mean quantities of dairy products purchased, by person BE BG * EE EL 2004/ ES 2004 FR LV LT HU MT 2008 PL RO SI 2004 SK 2006 UK NO HQ01141 Whole milk () HQ01142 Low fat milk () HQ01144 Yoghurt (g/day) HQ01145 Cheese and curd (g/day) * Bulgaria: Data for whole milk includes also low fat milk Mean quantities of fats and oils purchased by person BE BG EE EL 2004/ ES 2004 FR LV LT HU MT 2008 PL RO SI 2004 SK 2006 UK NO HQ01151 Butter (g/day) HQ01152 Margarine and other vegetable fats (g/day) HQ01153 Olive oil () HQ01154 Other veget. edible oils () 6/57

8 Food safety statistics Mean quantities of fruit, vegetables and potatoes purchased, by person (g/day) BG EE EL 2004/ ES 2004 FR LV LT HU MT 2008 PL RO SI 2004 SK 2006 NO Fruit (includes fruit juices) Vegetables (includes vegetable juices; excludes potatoes) HQ01177 Potatoes 70.0 Mean quantities of sugar products purchased, by person (g/day) BE BG EE EL 2004/ ES 2004 FR LV LT HU MT 2008 PL RO SI 2004 SK 2006 UK NO HQ01181 Sugar HQ01182 Jams, marmalades HQ01183 Chocolate Mean quantities of mineral waters, soft drinks and juices purchased, by person () BE BG EE EL 2004/ ES 2004 FR LV LT HU MT 2008 PL RO SI 2004 SK 2006 UK NO HQ01221 Mineral or spring w aters HQ01222 Soft drinks HQ01223 Fruit juices HQ01224 Vegetable juices 7/57

9 Food safety statistics Mean quantities of alcoholic beverages purchased, by person () BE BG EE EL 2004/ ES 2004 FR LV LT HU MT 2008 PL RO SI 2004 SK 2006 UK * NO HQ0211 Spirits and liqueurs HQ02122 Wine-based aperitifs, champagne and other sparkling w ines * United Kingdom, beer: HQ02121 Wine from grapes or other fruit HQ0213 Beer 8/57

10 Food safety statistics 5.2. Analysis by main consumption determinants Eurostat made also an analysis of data by some consumption determinants identified by the Task Force in, in particular the educational level, the degree of urbanisation (rural, urban) and the income level. This was done for 4 countries representative of different geographical areas of the European Union and for which data were sufficiently complete: Spain, Bulgaria, Estonia and Slovakia. The graphs below illustrate the results: by educational level of the head of the household 450,0 400,0 350,0 300,0 250,0 200,0 150,0 100,0 50,0 0,0 Mean food quantities purchased per person (g/day, ) by educational level of the household head Spain Primary education Secondary education Higher education Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" 600,0 Mean food quantities purchased per person (g/day, ) by educational level of the household head Bulgaria - 500,0 400,0 300,0 200,0 100,0 0,0 None Primary education Secondary education Higher education Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Sugar "version short": soft drinks and fruit juices Sugar "version large": sugar "version short", coffee, tea, chocolate and powdered chocolate, milk (whole milk, low fat milk and preserved milk) Code_HC08 Label_HC08 None 0 No information Primary education 1 Primary school and first phase of secondary education (ISCED = 1,2) Secondary education 2 Second phase of secondary education (ISCED = 3, 4) Higher education 3 Higher education (ISCED = 5, 6, 7) 9/57

11 Food safety statistics 300,0 Mean food quantities purchased per person (g/day, ) by educational level of the household head Estonia - 250,0 200,0 150,0 100,0 50,0 0,0 Primary education Secondary education Higher education Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" 450,0 400,0 350,0 300,0 250,0 200,0 150,0 100,0 50,0 0,0 Mean food quantities purchased per person (g/day, ) by educational level of the household head Slovakia None Primary education Secondary education Higher education Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Sugar "version short": soft drinks and fruit juices Sugar "version large": sugar "version short", coffee, tea, chocolate and powdered chocolate, milk (whole milk, low fat milk and preserved milk) Code_HC08 Label_HC08 None 0 No information Primary education 1 Primary school and first phase of secondary education (ISCED = 1,2) Secondary education 2 Second phase of secondary education (ISCED = 3, 4) Higher education 3 Higher education (ISCED = 5, 6, 7) 10/57

12 Food safety statistics by type of settlement 450,0 400,0 350,0 300,0 250,0 200,0 150,0 100,0 50,0 0,0 Mean food quantities purchased per person (g/day, ) by type of settlement Spain Densely populated Intermediate Sparsely populated Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Mean food quantities purchased per person (g/day, ) by type of settlement Bulgaria - 450,0 400,0 350,0 300,0 250,0 200,0 150,0 100,0 50,0 0,0 Densely populated Intermediate Sparsely populated Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Sugar "version short": soft drinks and fruit juices Sugar "version large": sugar "version short", coffee, tea, chocolate and powdered chocolate, milk (whole milk, low fat milk and preserved milk) Code_HA09 Label HA09 Densely populated 1 Densely populated (at least 500 inhabitants/km2) Intermediate 2 Intermediate (between 100 and 499 inhabitants/km2) Sparsely populated 3 Sparsely populated (less than 100 inhabitants/km2) 11/57

13 Food safety statistics Mean food quantities purchased per person (g/day, ) by type of settlement Estonia - 350,0 300,0 250,0 200,0 150,0 100,0 50,0 0,0 Densely populated Intermediate Sparsely populated Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Mean food quantities purchased per person (g/day, ) by type of settlement Slovakia ,0 300,0 250,0 200,0 150,0 100,0 50,0 0,0 Densely populated Intermediate Sparsely populated Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Sugar "version short": soft drinks and fruit juices Sugar "version large": sugar "version short", coffee, tea, chocolate and powdered chocolate, milk (whole milk, low fat milk and preserved milk) Code_HA09 Label HA09 Densely populated 1 Densely populated (at least 500 inhabitants/km2) Intermediate 2 Intermediate (between 100 and 499 inhabitants/km2) Sparsely populated 3 Sparsely populated (less than 100 inhabitants/km2) 12/57

14 Food safety statistics by net income 3 quartile 450,0 400,0 350,0 300,0 250,0 200,0 150,0 100,0 50,0 0,0 Mean food quantities purchased per person (g/day, ) by income quartile group Spain Lowest group Medium lowest Medium highest Highest group Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Mean food quantities purchased per person (g/day, ) by income quartile group Bulgaria - 500,0 400,0 300,0 200,0 100,0 0,0 Lowest group Medium lowest Medium highest Highest group Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Sugar "version short": soft drinks and fruit juices Sugar "version large": sugar "version short", coffee, tea, chocolate and powdered chocolate, milk (whole milk, low fat milk and preserved milk) Code quartile HH09.9 Label quartile HH09.9 Lowest group 0 Income between the lowest net income and the first quartile Medium lowest 1 Income between the first quartile and the median Medium highest 2 Income between the median and the third quartile Highest group 3 Income between the third quartile and the highest net income 3 Net income (variable HH09.9): total income from all sources including non-monetary components minus income taxes 13/57

15 Food safety statistics 300,0 Mean food quantities purchased per person (g/day, ) by income quartile group Estonia - 250,0 200,0 150,0 100,0 50,0 0,0 Lowest group Medium lowest Medium highest Highest group Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Mean food quantities purchased per person (g/day, ) by income quartile group Slovakia - 300,0 250,0 200,0 150,0 100,0 50,0 0,0 Lowest group Medium lowest Medium highest Highest group Bread and cereals Meat Fish Vegetable Fruit Sugar "version short" Sugar "version large" Sugar "version short": soft drinks and fruit juices Sugar "version large": sugar "version short", coffee, tea, chocolate and powdered chocolate, milk (whole milk, low fat milk and preserved milk) Code quartile HH09.9 Label quartile HH09.9 Lowest group 0 Income between the lowest net income and the first quartile Medium lowest 1 Income between the first quartile and the median Medium highest 2 Income between the median and the third quartile Highest group 3 Income between the third quartile and the highest net income 14/57

16 Food safety statistics 6. CONCLUSION This exercise is the continuation of a work done by the DAFNE project which has been recognised as a resource for conducting a wide range of nutritional analyses. Results show that despite an important dispersion of data across households the relative standard errors of the food availability are rather low for most of the food categories. This is particularly the case for the mean availability of fruit and mean availability of vegetables. However, the use of food quantities collected from Household Budget Surveys for estimating most of the indicators identified for the monitoring of health and nutrition policy would request a highest level of detail of the food products, and the necessary expertise of nutritionists, to estimate them. For this reason, and taking into consideration the quality of the results at COICOP 5-digits level Eurostat proposes to continue using these data for calculating indicators on mean daily food availability per person (mean daily food quantities purchased) at COICOP 5 and 4-digit levels as well as for the mean availability of fruit and availability of vegetables. These data could be further used by nutritionists for conducting nutritional analyses. These results and main conclusions are sent to the national experts of the Household Budget Surveys in the Member States, for their opinion. During the data elaboration Eurostat has encountered several problems. In case Member States agree on continuing this exercise, Eurostat proposes to take into consideration the following suggestions for improving the data collection in future: 1) Missing values versus "real zero" values: It was not always clear if a 0 or a blank is a real 0 or a missing value. Proposed improvements: Eurostat suggests indicating always a blank for a missing value and 0 for a real 0. 2) Units of measurement: Lack of information about the units of measurement causes ambiguity. This was the case for the following list of variables of food quantities due to the variety of products included under each heading: Code HQ0111 HQ01115 HQ01116 HQ0115 HQ0118 HQ01184 HQ01186 HQ0119 HQ01191 HQ01192 HQ01193 HQ01194 Label Bread and cereals Sandwiches Other cereal products Oils and fats Sugar, jam, honey, chocolate and confectionery Confectionery products Other sugar products Food products n.e.c. Sauces, condiments Salt, spices and culinary herbs Baby food, dietary preparations, baker's yeast and other food preparations Other food products n.e.c. 15/57

17 Food safety statistics In general, countries reported values in kg but some of them did not indicate the unit of measure. Proposed improvements: indicate always the unit of measure used for each item. For the list of items above, Eurostat proposes in future to use kg as unit of measurement. Some aggregated product categories like "Oils and fats" include products measured with different units. Proposed improvements: indicate always the conversion factor used to calculate the aggregated quantities. 3) Classification of food items and level of detail: Using a different classification than COICOP. Proposed improvements: it would be desirable that countries send their data according to COICOP classification in order to ensure comparability between the countries and to avoid potential errors of post-harmonisation being made by Eurostat. Providing data at different levels of detail Proposed improvement: Eurostat suggests also providing data related to the COICOP at 4 digits level in order to perform analysis by determinants also at 4-digits level of COICOP. 4) Reference period: Lack of information on reference period of the food quantities data collected Proposed improvements: Member States should clearly indicate the reference period for the food quantities data provided in order to calculate appropriate daily and annual averages per person. 5) Definition of food quantities: Some countries provided the food quantities purchased (corresponding to HExxxxxiA, expenditure effected in monetary form). Proposed improvement: In order to obtain results as close as possible to food consumption, or at least closer to food availability, Eurostat invite all the countries to provide quantities corresponding to HExxxxxiC where: HExxxxxiA = expenditure effected in monetary form HExxxxxiB = expenditure effected in non-monetary form HExxxxxiC = total sum. 16/57

18 Food safety statistics ANNEX I: LIST OF FOOD CONSUMPTION INDICATORS TO MONITOR FOOD SAFETY AND HEALTH AND NUTRITION POLICY Health and nutrition policy Nutrients Indicator Population Usefulness of data sources Energy intake Saturated fatty acids Fish fatty acids Dietary fibre average consumption (g/day) of cereals and potatoes, milk, meats, added fats, eggs, vegetables and fruit and sugar containing beverages average consumption (g/day) of milk and milk products (high/low fat), cheese, meat and meat products (high/low fat), butter, fats (high/low fat), oils average consumption (g/day) of fish and fatty fish average consumption frequency of fish and fatty fish average consumption of bread (wholemeal / low fibre), breakfast cereals (wholemeal / low fibre), vegetables, potatoes, fruit whole population whole population Whole population (children, adolescents, adults and elderly). Whole population (children, adolescents, adults and elderly). (Food supply Balance Sheets) HBS EFSA concise database (dietary surveys) HBS EFSA concise database (dietary surveys) New survey to investigate more relevant food subgroups (Food supply Balance Sheets) HBS EFSA concise database (dietary surveys) New survey to distinguish between fatty fish and lean fish New survey to distinguish between fatty fish and lean fish HBS EFSA concise database (dietary surveys) (except bread rolls) Calcium Sodium Iodine Vegetables consumption Fruit consumption Variation in vegetable and fruit consumption Sugar containing beverages consumption average intake (g/day) of cheese, milk and other milk products % of users of Ca supplements, % of users of multivitamin/mineral supplements average consumption (g/day) of bread, other processed cereals, processed meat, cheese and other milk products, snacks average consumption (g/day) of milk and milk products????? Whole population (children, adolescents, adults and elderly). Whole population (children, adolescents, adults and elderly). Whole population (children, adolescents, adults and elderly). HBS EFSA concise database (dietary surveys) New survey to gather data on food supplements HBS Food supply Balance Sheets HBS EFSA concise database (dietary surveys) % of households using iodized salt New survey to collect use of iodized salt average consumption (g/day) of vegetables, excluding potatoes average consumption (g/day) of fruit and fruit juices number of different fruit and vegetables consumed during a certain period of time average consumption (g/day) of sugar containing beverages (beverages with added sugar, fruit juices; milk, coffee and tea with added sugar) Whole population (children, adolescents, adults and elderly). Whole population (children, adolescents, adults and elderly). Whole population (children, adolescents, adults and elderly). Children, adolescents, adults Food supply Balance Sheets HBS EFSA concise database (dietary surveys) Food supply Balance Sheets HBS EFSA concise database (dietary surveys) New data collection New data collection 17/57

19 Food safety statistics Contaminan ts Acrylamide Dioxins, PCBs 4, PBDE 5 Methyl mercury Nitrate / nitrite Food safety policy Indicator Population Usefulness of data sources high percentile (P95, P97.5) of long-term consumption of potato products fried (French fries), crisps, baked goods (cookies, pies, cakes) high percentile (P95, P97.5) of long-term consumption of meats, (fatty) fish and dairy products high percentile (P95, P97.5) of long-term consumption of predator fish, for the subpopulation groups high percentile (P95, P97.5) of long-term consumption of high nitrate vegetables (spinach, lettuce, endive and beets, potatoes and processed meat Whole population, specially young children Whole population, specially young children Pregnant women, breastfeeding women, young children Whole population, specially young children New data should be collected from individual surveys EFSA concise database (dietary surveys) New data should be collected from individual surveys EFSA concise database (dietary surveys) (only for potatoes) New survey for vegetables high in nitrate (spinach, lettuce, endive and beets) 4 PCBs: Polychlorobiphenyls 5 PBDE: Polybrominated diphenyl ethers 18/57

20 Food safety statistics ANNEX II: METHODOLOGY Micro-data files on food quantities have been linked by the household identification number (code HA04) with the micro-data files provided previously with data on household expenditure and many other variables. The following variables were selected from the expenditure file: Variable code HA02 HA04 HA08 HA09 HA10 HB05 HB06.2 HB07.1 HB07.2 HC03 HC04 HC08 HC12 HC16 HC18 HC23 HC24 HH09.9 HE01 - HE Variable name Survey reference year Household ID number Region Population density Weights Household size (number of persons per household) Equivalent size (modified OECD scale) Type of household 1 (age limit for children set in 16 years old) Type of household 2 (age limit for children set in 18 years old) Sex of ref. person Age of ref. person Level of studies completed by the reference person Current activity status of reference person Usual activity status of reference person Occupation of reference person (ISCO 1988 (COM)) Socio-economic situation (detailed) of reference person Socio-economic situation of reference person (aggregated classification) Net income (total income from all sources including non-monetary components minus income taxes) Expenditure of Food and non-alcoholic beverages The inclusion of expenditure on food products (variables HExxxxx) allowed checking if reported 0 quantities are real 0 or missing values. Eurostat estimated the average food purchases per person using the following method: Step 1. Identification of missing values Quantities reported as 0 were checked in order to verify if they were real 0 or missing values, according the following criterion: for any HQxxxxxi = 0, check the corresponding HExxxxxi; if HExxxxxi = 0 then HQxxxxxi = 0; if HExxxxxi 0 then HQxxxxxi = missing value where: xxxxx: COICOP codes of food products and beverages; i = ID Household = 1, 2,., n. For all the countries, except Bulgaria, HQxxxxxi correspond to HExxxxxiC, where: HExxxxxiA = expenditure effected in monetary form HExxxxxiB = expenditure effected in non-monetary form HExxxxxiC = total sum. 19/57

21 Food safety statistics For Bulgaria HQxxxxxi correspond to HExxxxxiA Step 2. Calculation of aggregated quantities In order to estimate the agreed indicators to monitor health and nutrition policy, specific aggregates were calculated summing up the corresponding breakdowns. These are: Purchased quantities of vegetables and vegetables juices (proxy for Vegetables consumption) HQ01171 HQ01172 HQ01173 HQ01174 HQ01175 HQ01176 HQ01178 HQ01224 Leaf and stem vegetables (fresh, chilled or frozen) Cabbages (fresh, chilled or frozen) Vegetables cultivated for their fruit (fresh, chilled or frozen) Root crops, non-starchy bulbs and mushrooms (fresh, chilled or frozen) Dried vegetables Other preserved or processed vegetables Other tubers and products of tuber vegetables Vegetable juices Due to the presence of many missing values for HQ01176 and HQ01178, for some countries the following alternative formula has been used: HQ0117 (Vegetables) HQ01177 (Potatoes) + HQ01224 (Vegetable juices) when data for HQ0117 was available Purchased quantities of fruit and fruit juices (proxy for Fruit consumption) HQ01161 Citrus fruits (fresh, chilled or frozen) HQ01162 Bananas (fresh, chilled or frozen) HQ01163 Apples (fresh, chilled or frozen) HQ01164 Pears (fresh, chilled or frozen) HQ01165 Stone fruits (fresh, chilled or frozen) HQ01166 Berries (fresh, chilled or frozen) HQ01167 Other fresh, chilled or frozen fruits HQ01168 Dried fruit HQ01169 Preserved fruit and fruit based products HQ01223 Fruit juices Due to the presence of many missing values in the breakdown, for some countries the following alternative formula has been used: HQ0116 (Fruit) + HQ01223 (Fruit juices), when data for HQ0116 was available 20/57

22 Food safety statistics The consumption of sugar containing beverages has been calculated in 2 different ways, a version large and a version short : Quantities purchased of sugar containing beverages (version "large") HQ01211 Coffee g HQ01212 Tea g HQ01213 Cocoa and powdered chocolate g HQ01222 Soft drinks g HQ01223 Fruit juices g HQ01141 Whole milk g HQ01142 Low fat milk g HQ01143 Preserved milk g Quantities purchased of sugar containing beverages (version "short") HQ01222 Soft drinks g HQ01223 Fruit juices g However, for both cases these indicators are considered rather rough estimates. In addition, Eurostat calculated the following aggregates for the countries not providing them: Countries COICOP code Product categories HQ0111 Bread and cereals BE, BG, LV, LT, MT, SK, UK HQ0112 Meat HQ0113 Fish HQ01112 Bread BE HQ01116 Other cereal products HQ01131 Fresh, chilled or frozen fish HQ01133 Dried, smoked or salted fish and seafood FR HQ0113 Fish FI HQ0112 Meat All aggregates have been calculated adding the data only for those households where all subitems have available data (different or equal to zero). Households for which at least one of the sub-items was missing were excluded from the calculation. Step 3. Calculation of Quantity purchased per person for each Household i (HQPi) HQi HQPi = HB05i where: HQi = quantity purchased by Household i of each aggregate in Step 2 and each item at the more detailed COICOP level HB05i = Household i size (number of persons of Household i) 21/57

23 Food safety statistics Step 4. Calculation of the Average quantity purchased per person where: n i= 1 HQPi HB05i HA10i n i= 1 HB05i HA10i = n i= 1 HQPi Wi = HB05 i HA10i (weight of each person of household i) i = ID Household = 1, 2,., n n = total number of Households in the sample HB05i = Household i size (number of persons of Household i) HA10i = Weight of Household i The calculation includes the Standard Deviation, Maximum and Minimum values and Confidence limits at 95% level. Step 5. Annualise, if needed, the values obtained in step 4. This step is needed for future comparisons with data from other sources like the annual agricultural supply balance sheets. Step 6. Estimate daily average of food consumption It was calculated by dividing the values in step 4 above by the number of days of the reference period of the data collection. Data for Romania and Slovakia were provided in quantities by month. Annual estimates have been calculated by Eurostat by multiplying the data by 12; daily estimates calculated dividing annual data by 365. Data for Malta and the United Kingdom covered two weeks. Annual estimates have been calculated by Eurostat dividing the data by 14 and multiplying by 365; daily estimates calculated dividing the data by 14. Wi n i= 1 Wi 22/57

24 ANNEX II: ANNUAL MEAN FOOD AVAILABILITY PER PERSON Annual mean food availability per person (food quantities purchased per person) (FQP) BE BG EE EL 2004/ Code Label and measurement unit FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag HQ0111 Bread and cereals (ND) kg 88,0 34, ,5 106, ,5 71, ,9 145, ,3 55, ,4 82,1 86,9 45, ,8 88,0? HQ01111 Rice kg 4,2 4, ,9 4,5 6,3 4, ,2 6,5 3,0 5, ,8 3,2 10,0 8, ,7 10,3 3 HQ01112 Bread kg 39,6 24, ,6 40, ,6 63, ,3 118,0 50,8 32, ,7 51,9 60,4 31, ,6 61,2 3 HQ Bread: wholemeal kg 18,7 18, ,9 19,4 1 22,8 23, ,4 24,2 3 HQ Bread: low fibre kg 23,3 19, ,6 24,0 1 48,3 31, ,5 49,1 3 HQ01113 Pasta products kg 10,3 10, ,9 10,7 3,5 3, ,3 3,6 5,3 7, ,1 5,6 13,0 10, ,7 13,3 3 HQ01114 Pastry-cook products kg 19,6 14, ,1 20,1 5,8 4, ,6 6,0 4,6 8, ,3 4,9 11,3 10, ,7 11,9 HQ01115 HQ01116 Sandwiches Other products kg 7,4 7, ,1 7,7 1,7 4, ,5 1,8? 0,0 0, ,0 0,0 kg 12,2 11,5 37 8,5 15,9 10 9,6 15, ,1 10,2 16,5 33, ,4 17,6 15,4 20, ,7 16,1 3? HQ Other products: wholemeal kg 10,0 12, ,5 10,6 1 17,8 22, ,9 18,7 3 HQ Other products: low fibre kg 2,2 3,5 45 1,2 3,3 1 2,2 2, ,0 2,3 3 HQ0112 Meat (ND) kg 66,3 30, ,5 76, ,9 17, ,3 30, ,5 51, ,8 62,2 52,3 40, ,3 53,3 HQ01121 Fresh, chilled or frozen meat of bovine animals kg 8,0 44, ,0 10,1 0,8 3, ,7 0,9 0,9 4, ,8 1,1 22,4 17, ,9 22,9 HQ01122 Fresh, chilled or frozen meat of swine kg 6,6 8, ,2 7,0 2,1 3, ,9 2,2 12,7 33, ,6 13,8 20,0 21, ,2 20,8 3 HQ01123 Fresh, chilled or frozen meat of sheep and goat kg 3,8 5, ,4 4,3 0,7 1, ,7 0,8 0,2 2, ,1 0,3 33,6 35, ,4 35,8 3 HQ01124 Fresh, chilled or frozen meat of poultry kg 11,2 13, ,7 11,8 5,8 5, ,6 6,1 5,8 11, ,4 6,2 20,5 14, ,1 21,0 HQ01125 Dried, salted or smoked meat and edible meat offal kg 15,9 44, ,4 17,4 13,3 8, ,0 13,6 30,6 25, ,8 31,5 7,9 8, ,7 8,2 HQ01126 Other preserved or processed meat and meat preparations kg 17,6 19, ,9 18,2 7,2 5, ,0 7,4 10,1 12, ,7 10,5 7,9 7, ,1 8,6 HQ01127 Other fresh, chilled or frozen edible meat kg 5,1 5, ,6 5,6 0,0 0, ,0 0,0 0,2 3, ,1 0,3 14,2 8, ,5 15,9 HQ0113 Fish (ND) kg 22,9 15,0 5 9,8 36,0 10 4,1 4, ,9 4, ,1 17, ,5 13,7 20,5 17, ,1 21,0 HQ01131 Fresh, chilled or frozen fish kg 8,4 37, ,8 12,0 10 3,9 4, ,7 4,0 6,9 15, ,3 7,4 18,2 13, ,8 18,6 3 HQ Fresh, chilled or frozen fish: fatty fish kg 4,1 36, ,2 6,9 1 12,9 9, ,2 13,7 3 HQ Fresh, chilled or frozen fish: other fish kg 5,4 45, ,2 7,6 1 14,8 10, ,3 15,3 3 HQ01132 Fresh, chilled or frozen seafood kg 6,8 23, ,5 8,0 0,0 0, ,0 0,0 0,1 0, ,1 0,1 13,3 12, ,5 14,1 HQ01133 Dried, smoked or salted fish and seafood kg 3,3 40, ,0 10,2 10 0,0 0, ,0 0,0 2,0 4, ,9 2,2 7,8 6, ,2 8,3 HQ Dried, smoked or salted fatty fish kg 3,0 39, ,0 6, ,5 4, ,1 4,0 HQ Dried, smoked or salted not fatty fish and seafood kg 1,2 1, ,0 1,3 1 11,6 6, ,0 12,3 HQ01134 HQ HQ Other preserved or processed fish and seafood and fish and seafood preparations Other preserved or processed fish and fish preparations: fatty fish Other preserved or processed fish and seafood and fish and seafood preparations kg 3,8 3, ,4 4,1 3 0,2 0, ,2 0,2 4,1 5, ,9 4,3 4,5 4, ,2 4,8 kg 2,3 2, ,1 2, ,2 4, ,9 4,6 3 kg 2,4 2, ,2 2, ,6 4, ,9 5,4 3 Std Dev: Standard Deviation; N: number of observed households; LCL 95%: 95% Lower Confidence Limit; UCL 95%: 95% Upper Confidence Limit; Flags: 1: Not surveyed quantities; 2: Not available; 3: see list of products in Annex V; 4: No summary quantity because different measurement units for the different sub-headings; 9: estimated (see ; 10: estimated by Eurostat (see 23/57

25 Annual mean food availability per person (food quantities purchased per person) (FQP) BE BG EE EL 2004/ Code Label and measurement unit FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag HQ01141 Whole milk 29,7 26, ,1 31,3 9 21,9 58, ,9 23,8 60,4 43, ,1 61,8 HQ01142 Low fat milk 39,0 33, ,5 40,5 42,2 45, ,6 43,7 42,1 38, ,2 43,9 3 HQ01141&2 Whole and low fat milk 16,8 23, ,9 17,7 3 HQ01143 Preserved milk kg 3,7 4, ,3 4,1 0,0 0, ,0 0,0 0,5 3, ,4 0,6 21,3 22, ,4 22,1 HQ01144 Yoghurt kg 11,6 11, ,2 12,1 18,4 19, ,7 19,1 8,8 15, ,3 9,3 12,3 11, ,0 12,7 HQ01145 Cheese and curd kg 4,2 31, ,4 6,1 12,3 7, ,0 12,5 11,3 10, ,9 11,6 17,6 13, ,2 17,9 HQ Cheese and curd: high fat kg 6,0 5, ,8 6,2 1 12,7 10, ,4 13,0 3 HQ Cheese and curd: low fat kg 6,8 6, ,5 7,0 1 8,3 7, ,1 8,5 3 kg 11,7 14, ,2 12,3 9 0,1 0, ,1 0,2 20,0 20, ,3 20,6 8,5 13, ,9 9,2 HQ01146 HQ01147 Other milk products Eggs mixed - kg/ unit 82,0 62, ,5 84,5 9 74,5 67, ,1 77,0 161,1 154, ,9 166,3 0,1 0, ,1 0,1 3 kg kg 1 27,4 24, ,7 28,1 HQ0115 Oils and fats (ND) mixed - kg/? 12,8 12, ,4 13,3 HQ01151 Butter kg 3,8 3, ,7 4,0 0,4 0, ,4 0,4 2,3 3, ,2 2,4 3,6 3, ,3 3,9 3 HQ01152 Margarine and other vegetable fats kg 5,5 4, ,3 5,7 2,0 1, ,9 2,0 3,8 5, ,6 4,0 4,9 4, ,7 5,1 HQ01153 Olive oil 4,1 3, ,9 4,4 0,1 0, ,1 0,1 0,1 1, ,1 0,2 25,4 20, ,8 26,1 HQ01154 Edible oils 6,7 6, ,3 7,1 12,9 6, ,7 13,1 6,5 9, ,1 6,8 18,1 15, ,3 18,8 HQ01155 Other edible animal fats kg 6,8 5, ,7 7,9 0,0 0, ,0 0,1 0,2 1, ,1 0,2 HQ0116 Fruit (ND) kg 1 48,3 56, ,4 50,2 97,9 83, ,8 100,0 HQ01161 Citrus fruits (fresh, chilled or frozen) kg 13,4 14, ,7 14,0 3,7 4, ,5 3,8 7,1 14, ,6 7,6 43,7 40, ,5 45,0 HQ01162 Bananas (fresh, chilled or frozen) kg 7,4 6, ,1 7,7 3,5 4, ,3 3,7 4,4 9, ,1 4,7 17,7 12, ,2 18,1 HQ01163 Apples (fresh, chilled or frozen) kg 12,3 11, ,9 12,8 6,1 8, ,8 6,4 21,0 34, ,8 22,1 29,5 22, ,7 30,2 HQ01164 Pears (fresh, chilled or frozen) kg 6,9 6, ,5 7,4 0,2 1, ,1 0,2 2,5 8, ,2 2,8 19,1 15, ,3 19,9 HQ01165 Stone fruits (fresh, chilled or frozen) kg 8,4 9, ,8 9,1 3,2 6, ,0 3,5 2,4 8, ,1 2,7 30,9 29, ,4 32,4 HQ01166 Berries (fresh, chilled or frozen) kg 6,5 6, ,2 6,9 2,3 8, ,9 2,6 5,0 14, ,6 5,5 19,7 18, ,6 20,7 HQ01167 Other fresh, chilled or frozen fruits kg 10,6 12, ,0 11,2 8,3 11, ,9 8,7 4,7 16, ,1 5,2 78,4 85, ,3 82,5 HQ01168 Dried fruit kg 3,0 4, ,8 3,2 0,9 1, ,9 1,0 1,1 3, ,0 1,2 7,1 8, ,7 7,6 HQ01169 Preserved fruit and fruit based products kg 4,5 4, ,2 4,8 0,0 0, ,0 0,0 0,1 0, ,1 0,1 7,4 7,3 27 4,6 10,1 3 HQ0117 Vegetables (ND) kg 1 144,9 184, ,7 151,1 136,1 90, ,9 138,3 HQ01171 Leaf and stem vegetables (fresh, chilled or frozen) kg 9,8 9, ,4 10,1 1,1 1, ,0 1,1 0,9 2, ,8 0,9 18,3 17, ,8 18,8 HQ01172 Cabbages (fresh, chilled or frozen) kg 6,1 6, ,8 6,4 10,3 11, ,9 10,7 10,1 19, ,5 10,8 21,9 18, ,2 22,7 HQ01173 Vegetables cultivated for their fruit (fresh, chilled or frozen) kg 18,3 22, ,5 19,1 28,9 24, ,0 29,8 17,7 33, ,6 18,8 52,1 47, ,9 53,4 HQ01174 Root crops, non-starchy bulbs and mushrooms (fresh, chilled or frozen) kg 16,9 14, ,4 17,5 8,1 8, ,8 8,4 19,7 42, ,3 21,2 13,7 12, ,2 14,1 HQ01175 Dried vegetables kg 2,4 1, ,1 2,6 4,9 4, ,7 5,1 0,4 2, ,3 0,5 19,9 17, ,3 20,4 HQ01176 Other preserved or processed vegetables kg 6,2 7, ,9 6,5 2,9 3, ,7 3,0 13,9 22, ,1 14,6 10,5 9, ,2 10,9 HQ01177 Potatoes kg 39,3 34, ,8 40,7 18,8 16, ,2 19,4 80,7 150, ,7 85,8 50,0 37, ,0 51,0 HQ01178 Other tubers and products of tuber vegetables kg 9,0 8, ,6 9,3 0,1 0, ,1 0,1 1,4 4, ,3 1,6 3,0 4, ,7 3,3 Std Dev: Standard Deviation; N: number of observed households; LCL 95%: 95% Lower Confidence Limit; UCL 95%: 95% Upper Confidence Limit; Flags: 1: Not surveyed quantities; 2: Not available; 3: see list of products in Annex V; 4: No summary quantity because different measurement units for the different sub-headings; 9: estimated (see ; 10: estimated by Eurostat (see 24/57

26 Annual mean food availability per person (food quantities purchased per person) (FQP) BE BG EE EL 2004/ Code Label and measurement unit FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag HQ0118 Sugar, jam, honey, chocolate and kg ,5 14, ,1 16,9 confectionery (ND)? HQ01181 Sugar kg 7,3 6, ,0 7,7 14,4 12, ,9 14,8 10,6 32, ,5 11,7 13,8 10, ,5 14,1 3 HQ01182 Jams, marmalades kg 4,7 4, ,5 4,9 0,8 1, ,7 0,8 5,7 12, ,3 6,2 7,6 9, ,1 8,2 3 HQ01183 Chocolate kg 5,0 26, ,8 6,1 0,7 0, ,7 0,8 0,8 1, ,8 0,9 3,8 4, ,6 4,0 3 HQ01184 HQ01185 HQ01186 HQ0119 Confectionery products Edible ices and ice cream Other sugar products Food products nec (ND) kg 1,2 1, ,1 1,3 0,8 1, ,7 0,8 1? 3,9 5, ,7 4,0 kg 11,6 11, ,0 12,2 11,0 10, ,3 11,7 3 1,0 1, ,9 1,1 3,4 6, ,2 3,6 kg 4,19 4, ,0 4,4 0,01 0, ,0 0,0 1? 0,16 1, ,1 0,2 kg 1? 15,2 19, ,6 15,8 kg 7,7 8, ,3 8, ,0 8, ,7 6,3 1 HQ01191 Sauces, condiments? HQ Vinegar 1,8 1, ,8 1,9 HQ Other sauces and condiments kg 1,0 1, ,0 1,1 HQ01192 HQ01193 HQ01194 HQ0121 HQ01211 HQ01212 Salt, spices and culinary herbs Baby food, dietary preparations, baker's yeast and other food preparations Other food products nec Coffee, tea and cocoa (ND) Coffee Tea kg 1,9 2, ,8 2,1 4,6 4, ,4 4,8 2,1 11, ,7 2,5 1? kg 12,2 15, ,5 12,9 0,2 1, ,1 0,2 2,8 6, ,6 3,0 1? kg 1 0,0 0, ,0 0,0 4,3 9, ,0 4,7 1 unit? kg 4,1 5, ,9 4,2 2,9 2, ,8 3,0 1 kg 1,1 1, ,0 1,1 3,5 4, ,3 3,6 2,7 2, ,6 2,8 3 5,4 5, ,2 5,7 9 mixed - kg/ kg 0,0 0, ,0 0,0 0,4 1, ,4 0,5 0,8 1, ,7 0,9 3 2,0 11, ,2 2,8 kg 0,0 0, ,0 0,0 0,2 0, ,1 0,2 2,2 1, ,1 2,4 3 2,8 2, ,5 3,0 HQ01213 Cocoa and powdered chocolate HQ0122 Mineral waters, soft drinks, fruit and vegetable juices (ND) 1 46,0 57, ,0 47,9 73,0 100, ,2 75,8 HQ01221 Mineral or spring waters 87,4 83, ,2 90,6 9 11,8 28, ,7 12,8 11,0 32, ,0 12,1 88,0 141, ,9 95,1 3 HQ01222 Soft drinks 56,0 55, ,9 58,2 9 31,9 31, ,8 33,1 13,5 28, ,5 14,4 37,2 34, ,0 38,3 3 HQ01223 Fruit juices 25,2 23, ,2 26,2 9 1,6 4, ,4 1,7 21,0 30, ,9 22,0 24,2 22, ,4 25,1 3 HQ01224 Vegetable juices 6,9 10, ,3 8,5 0,0 0, ,0 0,1 0,5 3, ,4 0,6 8,8 7, ,7 9,8 3 HQ021 Alcoholic beverages 1 20,6 43, ,1 22,1 30,7 37, ,5 31,9 HQ0211 Spirits and liqueurs 7,2 10, ,5 8,0 1,1 2, ,0 1,2 3,3 11, ,9 3,7 8,9 8, ,4 9,3 3 HQ0212 Wine (ND) 1 3,6 10, ,2 3,9 22,8 26, ,7 23,9 HQ02121 Wine from grapes or other fruit 32,0 42, ,0 34,0 1,8 5, ,6 2,0 3,0 10, ,6 3,3 22,8 26, ,7 23,9 3 HQ02122 Other 8,2 9, ,6 8,8 0,1 0, ,1 0,1 0,6 3, ,5 0,7 7,2 6,5 33 4,9 9,4 3 HQ0213 Beer 38,5 46, ,2 40,8 12,3 18, ,6 12,9 13,7 34, ,5 14,9 29,0 35, ,3 30,6 3 Vegetables kg 56,3 41, ,8 57,8 3 64,6 71, ,2 67, ,0 67, ,4 117,6 3 Fruit kg 29,8 32, ,6 30,9 3 69,3 68, ,0 71, ,5 87, ,3 122,7 3 Sugar (version "large") 51,5 39, ,0 52, ,0 79, ,4 105,6 3 Sugar (version "short") 80,0 58, ,1 82,8 33,5 31, ,4 34,7 34,4 43, ,0 35,9 59,9 43, ,0 61,8 Std Dev: Standard Deviation; N: number of observed households; LCL 95%: 95% Lower Confidence Limit; UCL 95%: 95% Upper Confidence Limit; Flags: 1: Not surveyed quantities; 2: Not available; 3: see list of products in Annex V; 4: No summary quantity because different measurement units for the different sub-headings; 9: estimated (see ; 10: estimated by Eurostat (see 25/57

27 Annual mean food availability per person (food quantities purchased per person) (FQP) ES FR LV LT Code Label and measurement unit FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag FQP Std Dev N LCL 95% UCL 95% flag HQ0111 Bread and cereals (ND) kg 67,2 44, ,3 68,2 3 83,0 48, ,1 83,9 95,1 59, ,2 97, ,7 65, ,2 103,2 10? HQ01111 Rice kg 6,1 12, ,8 6,3 4,0 8, ,8 4,1 3,5 6, ,3 3,7 3,9 6, ,8 4,1 HQ01112 Bread kg 56,0 39, ,2 56,9 52,2 34, ,5 52,8 61,1 38, ,9 62,4 60,0 37, ,1 60,8 HQ Bread: wholemeal kg - 1 HQ Bread: low fibre kg - 1 HQ01113 Pasta products kg 5,4 9, ,2 5,6 8,9 12, ,6 9,1 5,6 8, ,3 5,9 5,0 7, ,9 5,2 HQ01114 Pastry-cook products kg 1 10,6 13, ,4 10,9 5,8 8, ,5 6,0 11,4 12, ,2 11,7 HQ01115 HQ01116 Sandwiches Other products kg 1 2? 0,0 0, ,0 0,0 0,0 0, ,0 0,0 kg 1 7,6 13, ,3 7,8 3 19,1 25, ,3 19,9 21,3 33, ,6 22,1? HQ Other products: wholemeal kg - 1 HQ Other products: low fibre kg - 1 HQ0112 Meat (ND) kg 55,3 51, ,2 56,3 46,2 38, ,5 47,0 70,8 50, ,2 72, ,2 61, ,8 87,5 10 HQ01121 Fresh, chilled or frozen meat of bovine animals kg 8,8 14, ,5 9,1 9,8 13, ,6 10,1 3,5 8, ,3 3,8 2,4 9, ,2 2,6 HQ01122 Fresh, chilled or frozen meat of swine kg 8,8 15, ,4 9,1 4,3 8, ,1 4,5 21,4 35, ,3 22,6 29,1 41, ,2 30,0 HQ01123 Fresh, chilled or frozen meat of sheep and goat kg 2,5 9, ,3 2,7 1,5 5, ,4 1,7 0,2 3, ,0 0,3 0,0 1, ,0 0,1 HQ01124 Fresh, chilled or frozen meat of poultry kg 14,6 19, ,2 15,0 8,1 13, ,8 8,3 9,5 14, ,0 9,9 13,7 19, ,3 14,1 HQ01125 Dried, salted or smoked meat and edible meat offal kg 16,9 22, ,5 17,4 15,7 15, ,4 16,0 25,3 19, ,7 25,9 17,1 19, ,7 17,5 HQ01126 Other preserved or processed meat and meat preparations kg 4,7 8, ,5 4,9 6,0 10, ,8 6,2 6,8 11, ,4 7,1 23,3 20, ,8 23,8 HQ01127 Other fresh, chilled or frozen edible meat kg 1,5 5, ,4 1,6 1,6 5, ,4 1,7 4,1 11, ,8 4,5 0,6 6, ,4 0,7 HQ0113 Fish (ND) kg 26,6 31, ,0 27,3 7,0 15, ,5 7, ,5 19, ,8 14, ,7 19, ,3 17,1 10 HQ01131 Fresh, chilled or frozen fish kg 15,2 22, ,7 15,6 4,7 9, ,5 4,9 7,0 16, ,4 7,5 8,3 14, ,9 8,6 HQ Fresh, chilled or frozen fish: fatty fish kg 1,5 4, ,4 1,6 HQ Fresh, chilled or frozen fish: other fish kg 2,8 7, ,6 2,9 HQ01132 Fresh, chilled or frozen seafood kg 6,0 13, ,7 6,3 2,9 9, ,7 3,1 9 0,1 1, ,1 0,2 0,1 1, ,1 0,1 HQ01133 Dried, smoked or salted fish and seafood kg 0,8 3, ,7 0,9 0,8 2, ,7 0,8 2,9 5, ,7 3,1 5,8 8, ,6 5,9 HQ Dried, smoked or salted fatty fish kg - 1 HQ Dried, smoked or salted not fatty fish and seafood kg - 1 HQ01134 HQ HQ Other preserved or processed fish and seafood and fish and seafood preparations Other preserved or processed fish and fish preparations: fatty fish Other preserved or processed fish and seafood and fish and seafood preparations kg 5,8 10, ,6 6,1 4,2 6, ,1 4,3 3,4 5, ,3 3,6 2,6 4, ,5 2,7 kg - 1 kg - 1 Std Dev: Standard Deviation; N: number of observed households; LCL 95%: 95% Lower Confidence Limit; UCL 95%: 95% Upper Confidence Limit; Flags: 1: Not surveyed quantities; 2: Not available; 3: see list of products in Annex V; 4: No summary quantity because different measurement units for the different sub-headings; 9: estimated (see ; 10: estimated by Eurostat (see 26/57