220 likes | 371 Views
Food Consumption patterns through HBS. Renata Del Rosario Ana Martinez Eurostat - Unit F5/ Food safety statistics. Index. Background Food quantities - Data available Using food quantities from HBS Methodology Next steps. Background – Food consumption statistics.
E N D
Food Consumption patterns through HBS Renata Del Rosario Ana Martinez Eurostat - Unit F5/ Food safety statistics Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Index • Background • Food quantities - Data available • Using food quantities from HBS • Methodology • Next steps Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
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 safetyandhealth and nutrition Contractor: RIVM Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Agreed indicators related to health and nutrition Average consumption (gr. / day) Whole population Possible data sources: dietary surveys, HBS (DAFNE) Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Food quantities collected from HBSData available at Eurostat Data on food quantities collected from 2004/2005 HBS surveys and provided to Eurostat Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Food quantities - Data available at EurostatReference 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using data on food quantities from HBSLinking micro-data files at household level • 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) Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean 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” Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean daily food quantities by adult equivalent Methodology Step 6: calculation of the “new” weightsWi 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Using food quantities from HBSMean 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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
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 Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011
Thank you for your attention Working Group meeting “Statistics on Living Conditions” Luxembourg, 11-13 May 2011