1. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 Food Consumption patterns through HBS Renata Del Rosario Ana Martinez Eurostat - Unit F5/ Food safety statistics

2. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 2 Index Background Food quantities - Data available Using food quantities from HBS Methodology Next steps

3. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 3 Background – Food consumption statistics Aim: basic statistical data on food consumption in a sustainable and harmonised way (within the ESS) Work started in 2005: –Task Force to identify The needs for data on food consumption The main determinants for food consumption Analysis of available data sources Actions carried out during 2006: –Grants to help the statistical authorities to find efficient ways to collect data on food consumption (DK, HU, SK, SE, NO) –Call for tenders to design a limited number of indicators to monitor two of the policy needs: food safety and health and nutrition  Contractor: RIVM

4. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 4 Background - Work carried on in 2007 Identification of feasible indicators related to ‘food safety’ (chemical contaminants) and ‘health and nutrition’ policies Definition of indicators and related variables Examination of data sources: advantages and disadvantages Feasibility and technical studies Guidelines for survey modules to collect missing data

5. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 5 Agreed indicators related to health and nutrition Average consumption (gr. / day) Whole population Health and nutritional issuesFood sources Energy intakeCereals and potatoes, milk, meat and added fats Saturated fatty acidsMilk and milk products (High/low fat), cheese, meat and meat products (high/low fat), butter, fats (high/low fat) oils Fish fatty acidsFish and fatty fish Dietary fibreBread and breakfast cereals (wholemeal/low fibre), vegetables, potatoes, fruit CalciumCheese, milk and other milk products, drinking water SodiumBread, other processed cereals, processed meat IodineMilk and milk products Vegetables consumptionVegetables, excluding potatoes Fruit consumptionFruit and fruit juices Sugar containing beverages consumptionBeverages with added sugar, fruit juices, milk, coffee, tea Possible data sources: dietary surveys, HBS (DAFNE)

6. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 6 Background - Work carried out in 2008 Specific action to obtain the data on food quantities from the Household Budget Survey: –Written consultation in February 2008: members of “Living conditions” and “Food safety” Working Groups Possibilities and willingness to provide the data on food quantities collected already within the HBS –Requested format for the data transmission and other details specified: Micro-data file containing detailed information on quantities at household or at individual level or aggregated table COICOP classification of food items Financial support in the form of Grants proposed 21 countries willing to submit collected food quantities 9 grant agreements signed

7. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 7 Food quantities collected from HBS Data available at Eurostat Grants 2008Without financial help Micro-data at individual level RO Micro-data at household level BE, BG, GR, LV, LT, HU, MT EE, ES, FR, PL, RO, SI, SK, FI, UK, NO Aggregated tables BE, BG, GR, DE, NLCZ, PT Data on food quantities collected from 2004/2005 HBS surveys and provided to Eurostat

8. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 8 Food quantities - Data available at Eurostat Reference period 2003: Germany 2004: Spain, The Netherlands, Slovenia 2004/2005: Greece 2005: Belgium, Bulgaria, Czech Republic, Estonia, France, Latvia, Lithuania, Hungary, Poland, United Kingdom 2005/2006: Portugal 2006: Slovak Republic, Finland 2005-2007: Norway 2007: Romania 2008: Malta

9. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 9 Using food quantities collected from HBS Aggregated tables provided by: –Czech Republic, Germany, The Netherlands, Portugal –Belgium, Bulgaria, Greece Linking micro-data files at household level, for: –Estonia, Spain, France, Latvia, Lithuania, Hungary, Romania, Slovenia, Slovak Republic, United Kingdom, Norway, Belgium, Bulgaria, Greece, Malta, Poland, Finland

10. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 10 Food quantities purchased by households –Survey reference year (HA02) –Household ID number (HA04) –Food quantities purchased (HQxxxxx) Household expenditure –Household ID number (HA04) –Household adult equivalent (HB06.2) –Household size (HB05) –Weights (HA10) –Region (HA08) –Population density (HA09) –Type of household (HB07.1, HB07.2) –Educational level of household head (HC08) –Sex of reference person (HC03) –Age of reference person (HC04) –Activity status of reference person (HC12, HC16) –Occupation ISCO 1988 of reference person (HC18) –Socioeconomic situation of reference person (HC23, HC24) –Net income of household (HH09.9) Using data on food quantities from HBS Linking micro-data files at household level

11. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 11 Using food quantities from HBS Mean daily food quantities by adult equivalent Objective  Calculation by adult equivalent: - Indicators: Mean daily consumption of vegetables Mean daily consumption of fruit Mean daily consumption of sugar containing beverages - Mean daily consumption of all COICOP items - Mean daily consumption of all COICOP items by determinants: Population density (HA09) Educational level of household head (HC08) Region (HA08) Net income of household (HH09.9) – quartile  Calculation of mean daily consumption of all COICOP items by person Including Standard Deviation, Max and Min values, Confidence Interval at 95% level

12. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 12 Using food quantities from HBS Mean daily food quantities by adult equivalent Methodology Step 1 : identification of missing values for each household and each COICOP item; for any HQi = 0, check the corresponding HEi; if HEi = 0 then HQi = 0; if HEi ≠ 0 then HQi = missing value For all the countries, except Bulgaria, HQi correspond to HEiC For Bulgaria HQi correspond to HEiA

13. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 13 Using food quantities from HBS Mean daily food quantities by adult equivalent Methodology Step 2: Consumption of vegetables Calculate the aggregate quantity summing up the corresponding breakdown Alternative calculation (in some cases, better to avoid "missing quantities" for HQ01176 and HQ01178): HQ0117 (Vegetables) – HQ01177 (potatoes) + HQ01224

14. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 14 Using food quantities from HBS Mean daily food quantities by adult equivalent Methodology Step 3: Consumption of fruit Calculate the aggregate quantity summing up the corresponding breakdown Alternative calculation: HQ0116 (fruit) + HQ01223

15. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 15 Using food quantities from HBS Mean daily food quantities by adult equivalent Methodology Step 4: Consumption of sugar containing beverages Calculate the aggregate quantity summing up the corresponding breakdown - version “short” - version “large”

16. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 16 Using food quantities from HBS Mean daily food quantities by adult equivalent Methodology Step 5: for each household, for each aggregate calculated (veg, fruit, sugar) and each COICOP item, mean quantities purchased by adult equivalent (HQAi) = where: HQi = quantity purchased by each Household i of each aggregate calculated and each COICOP item HB062i = number of adults equivalent in Household i

17. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 17 Using food quantities from HBS Mean daily food quantities by adult equivalent Methodology Step 6: calculation of the “new” weights Wi where i = ID Household = 1, 2, …., n n = Total number of Households in the sample HB062i = Number of adults equivalent in Household i HA10i = Weight of Household i Step 7: country average quantities purchased by adult equivalent = weighted average of values of Step 5

18. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 18 Using food quantities from HBS Mean daily food quantities by adult equivalent Methodology Step 8: calculation of mean daily consumption of all COICOP items by determinants: Population density (HA09) Educational level of household head (HC08) Region (HA08) Net income of household (HH09.9) – quartile Step 9: annualize data of Step 7 and 8, if needed Step 10: daily average of food quantities purchased by adult equivalent = values from Step 7 and 8 / 365

19. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 19 Using food quantities from HBS Mean daily food quantities by person Methodology Step 1: for each household and each COICOP item, mean quantities purchased by person (HQPi) = where: HQi = quantity purchased by each Household i HB05i = Household i size (number of persons per household) Step 2: Calculation of the "new" weights Wi‘ where i = ID Household = 1, 2, …., n n = Total number of Households in the sample HA10i = Weight of Household i

20. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 20 Using food quantities from HBS Mean daily food quantities by person Methodology Step 3: country average quantities purchased by person = weighted average of values of Step 2 Step 4: annualize data of Step 3 if needed Step 5: daily average of food quantities purchased by person = values from Step 2 / 365

21. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 21 Next steps Complete data elaboration Send full results and main conclusions to national experts of the Household Budget Surveys in the Members States, for their opinion

22. 11-13 May 2011 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011 22 Thank you for your attention