Presentation is loading. Please wait.

Presentation is loading. Please wait.

Food consumption indicators: Results using data collected from HBS 31 May 2012 Ana Martinez and Renata Del Rosario Eurostat - Unit F5.

Similar presentations


Presentation on theme: "Food consumption indicators: Results using data collected from HBS 31 May 2012 Ana Martinez and Renata Del Rosario Eurostat - Unit F5."— Presentation transcript:

1 Food consumption indicators: Results using data collected from HBS 31 May 2012 Ana Martinez and Renata Del Rosario Eurostat - Unit F5

2 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 2 Structure of this presentation Background Food quantities - Data available Using food quantities from HBS Summary results Main conclusions and recommendations

3 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 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 set up to identify The needs for data on food consumption The main determinants for food consumption First analysis of available data sources: DAFNE (HBS), dietary surveys, Supply Balance Sheets Work of Task Force in 2007: –Identification of feasible indicators related to ‘food safety’ (chemical contaminants) and ‘health and nutrition policies’ –In-depth examination of data sources: advantages and disadvantages Food safety indicators: dietary surveys Health and nutrition: DAFNE (HBS) or dietary surveys  Explore the use of food quantities collected in HBS

4 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 4 Background - Work carried out in 2008 Written consultation in February 2008: members of “Living conditions” Working Group Possibilities and willingness to provide the data on food quantities collected already within the HBS 2005 wave 21 countries willing to submit collected food quantities from HBS: –Aggregated tables (average food quantities per adult equivalent): Czech Republic, Germany, The Netherlands, Portugal –Micro-data files at household level, for: Belgium, Bulgaria, Estonia, Greece, Spain, France, Latvia, Lithuania, Hungary, Malta, Poland, Romania, Slovenia, Slovak Republic, Finland, United Kingdom, Norway 8 countries did not collect food quantities: –Denmark, Italy, Luxembourg, Cyprus, Austria, Sweden and Iceland

5 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 5 Food quantities - Data transmitted to Eurostat Reference period Aggregated tables by adult equivalent: –2003: Germany –2004: The Netherlands –2005: Czech Republic –2005/2006: Portugal Micro-data files at household level: –2004: Spain, Slovenia –2004/2005: Greece –2005: Belgium, Bulgaria, Czech Republic, Estonia, France, Latvia, Lithuania, Hungary, Poland, United Kingdom –2006: Slovak Republic, Finland –2005-2007: Norway –2007: Romania –2008: Malta

6 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 6 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

7 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 7 Using food quantities from HBS Objective  Calculation of mean daily consumption of all COICOP items by person: - Indicators: Mean daily consumption of vegetables Mean daily consumption of fruit Mean daily consumption of ‘sugar containing beverages’ - Mean daily consumption of all COICOP 4 and 5 digit items - Mean daily consumption of all above items by identified consumption determinants: Population density (HA09) Educational level of household head (HC08) Net income of household (HH09.9) – quartile Including Standard Deviation, Max and Min values, Confidence Interval at 95% level

8 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 8 Using food quantities from HBS - Results Doc ESTAT/F5/ES/204 Rev.1 Sent 11 January 2012 to all HBS national experts participating to the Working group “Statistics on Living conditions” : –Detailed results for 16 countries: Belgium, Bulgaria, Estonia, Greece, Spain, France, Latvia, Lithuania, Hungary, Malta, Poland, Romania, Slovenia, Slovak Republic, United Kingdom, Norway Tables with annual and daily mean food availability per person ~ 58 food items covering: Bread and cereals, meat, fish, dairy products, eggs, fats and oils, fruit, vegetables, potatoes, sugar and confectionary products, beverages (alcoholic and non-alcoholic) –Methodology used to compute the above mentioned indicators –Main conclusions of the project and recommendations in case the project would continue for future HBS waves

9 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 9 Results: Mean daily food quantities per person (g/day) Meat: beef, pork, sheep & goats, poultry

10 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 10 Results: Mean daily food quantities per person (g/day) Fruit (& fruit juices), vegetables, potatoes

11 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 11 Analysis by consumption determinants Educational level of household head Primary education: Primary school and first phase of secondary school (levels 1 and 2 of ISCED) Secondary education: Second phase of secondary education (levels 3 and 4 of ISCED) Higher education: Higher education (levels 5 and 6 of ISCED)

12 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 12 Analysis by consumption determinants Educational level of household head Primary education: Primary school and first phase of secondary school (levels 1 and 2 of ISCED) Secondary education: Second phase of secondary education (levels 3 and 4 of ISCED) Higher education: Higher education (levels 5 and 6 of ISCED)

13 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 13 Analysis by consumption determinants Type of settlement (Population density) Densely populated: >= 500 inhabitants/km 2 Intermediate: between 100 and 499 inhabitants/km 2 Sparsely populated: < 100 inhabitants/km 2

14 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 14 Analysis by consumption determinants Type of settlement (Population density) Densely populated: >= 500 inhabitants/km 2 Intermediate: between 100 and 499 inhabitants/km 2 Sparsely populated: < 100 inhabitants/km 2

15 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 15 Analysis by consumption determinants Net Income Lowest group: income between lowest net income and first quartile Mediu lowest: between the first quartile and the median Medium highest: between the median and the third quartile Highest group: between the third quartile and the highest net income

16 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 16 Conclusions Relative standard errors of the mean food availability at COICOP 4 and 5 digits are rather low, also for the aggregates “fruit” and “vegetables”  HBS food quantities could be used for estimating:  Mean daily food availability per person  at 4 and 5 COICOP-digits,  for estimating two nutrition-related indicators: “fruit consumption” and “consumption of vegetables”  Not for estimating other more complex indicators for monitoring nutrition policy (sugar containing beverages, energy intake, dietary fibre, Calcium, Sodium, etc.):  would need more detailed data  would need expertise of nutritionists (not Eurostat’s role)

17 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 17 Recommendations If Member States agree on continuing this project: Use a blank for “missing values” and 0 for real 0 Indicate always the unit of measurement used for each food item, if different than that proposed by Eurostat Use COICOP for coding the food items Provide food quantities at both, 4 and 5 digit levels of COICOP Indicate the reference period of food quantities data collected and submitted to Eurostat Provide food quantities including food purchased + food available in kind

18 31 May 2012 Working Group Living Conditions - Eurostat - Luxembourg 29-31 May 2012 18 Thank you for your attention


Download ppt "Food consumption indicators: Results using data collected from HBS 31 May 2012 Ana Martinez and Renata Del Rosario Eurostat - Unit F5."

Similar presentations


Ads by Google