1 / 23

Deriving Food Security Statistics from National Household Surveys: Experiences, Achievement, and Challenges

This article discusses the experiences, achievements, and challenges in deriving food security statistics from national household surveys. It covers methodological issues, recommendations for data collection and analysis, additional data requirements, and the statistical framework used. The article also highlights the importance of incorporating food security statistics into survey designs and provides recommendations for improving data collection procedures.

aderr
Download Presentation

Deriving Food Security Statistics from National Household Surveys: Experiences, Achievement, and Challenges

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Deriving Food Security Statistics from National Household Surveys: Experiences, Achievement and Challenges SIBRIAN, Ricardo FAO Statistics Division Viale delle Terme di Caracalla 00153 Rome - Italy E-mail: Ricardo.Sibrian@fao.org

  2. OUTLINE • EXPERIENCES • 2. METHODOLOGICAL ISSUES • - food data issue • - data requirement • - recommendations • - additional data • - statistical framework • 3. CHALLENGES • 4. CONCLUSION AND REMARKS

  3. EXPERIENCES • National Demonstration Centre • 2. Technical Assistance for on-the-job training projects • 3. International Demonstration Centre • MAP

  4. EXPERIENCES FAO HOUSEHOLD SURVEY PROGRAM 2007 Palestine, O.T. Cuba NDCAsE_TA_ECFAOFSP Haiti Cape Verde NDCAsE NDCAsE_TA_FAOFIVIMS NDCAsE_FAO Seychelles NDCAfE NDCAfE_TA_ECFAOFSP NDCAfF Mauritius NDCEUE NDCNEE TAEC/FAOFSPF TAEC/FAOFSPR TA_ESS_IDC FAO TA_ESS FAO/W_BANK NDCAfE_TAFAOFIVIMS

  5. METHODOLOGICAL ISSUES 1. Food data 2. Data requirement 3. Recommendations 4. Additional data 5. Statistical framework

  6. METHODOLOGICAL ISSUES 1. Food data 2. Data requirement 3. Recommendations 4. Additional data 5. Statistical framework

  7. METHODOLOGICAL ISSUES 1. Food data Given away (workplace, other HHs, donations) Purchase Wasted Own production Animal feeding (pets and non-pets) Away from home Stocks for business Received for free Food Intake Private stocks (*)

  8. METHODOLOGICAL ISSUES • Food data • Issue of Acquisition versus consumption • Food acquisition refers to the consumption from an economic point of view • and consists of acquisition of food items from purchased, own production, • own stock (piled up from production or purchases) or received for free or as • aid. • Food consumption (or intake) refers to consumption from a nutritional point • of view and consists of food items actually used for daily consumption by the • household obtained from purchased, own stock from production or purchases, received as payment, received free or as aid etc. •  Food acquisition under estimates food consumption (or intake) of low income HH and over estimate food consumption of high income groups • example: Cape Verde IDRF 2001/02(Pereira, Troubat and Sibrian 2007)

  9. METHODOLOGICAL ISSUES Acquisition versus consumption Source: Cape Verde (IDRF 2001/02)

  10. METHODOLOGICAL ISSUES 1. Food data Scope, purpose and sample size of the NHS ICLS2003 with food security statistics as scope of HBS using data collected on food consumption and income data Value added to: Poverty assessment National accounts CPI etc

  11. METHODOLOGICAL ISSUES 1. Food data Issue of acquisition versus consumption: estimating food consumption from food acquisition HBS food data collected as acquired as proxy of food consumption may under estimate actual consumption and over estimate food deprivation in low income households and the opposite in high income level households When the full sample survey provides data on food intake and food acquired then use food intake If intake is collected in a subsample of households the linear relationship between food intake and food acquisition permit the estimation of food intake in the total sample. ex: Cape Verde

  12. METHODOLOGICAL ISSUES 1. Food data Issue of acquisition versus consumption: estimating food consumption from food acquisition In Cape Verde intake and acquisition in a sub-sample of households allowed estimating intake from acquisition for the complete sample of households in the 2001/02 IDRF.

  13. METHODOLOGICAL ISSUES 1. Food data 2. Data requirement 3.Recommendations 4. Additional data 5. Statistical framework

  14. METHODOLOGICAL ISSUES • 2. Data requirement • - food sources • - food description • - exhaustive list of food items • - standard unit of measurement • - state of the food (raw, cooked, etc) • - edible/purchase weight • - food price for estimation of missing food expenditures • - income and total consumption expenditure • - sources and sources food consumption

  15. METHODOLOGICAL ISSUES 1. Food data 2. Data requirement 3. Recommendations 4. Additional data 5. Statistical framework

  16. METHODOLOGICAL ISSUES 3. Recommendations  Modify survey designs and data collection procedures for adding food security statistics purpose as recommended by the ILO International Conference of Labour Statisticians in 2003.  Increase sample size to allow for sub national analysis (for example gender analysis)

  17. METHODOLOGICAL ISSUES 1. Food data 2. Data requirement 3. Recommendations 4. Additional data 5. Statistical framework

  18. METHODOLOGICAL ISSUES 4. Additional data - Sex and age population structure - Attained heigh by sex and age  to derive Minimum Dietary Energy requirement (MDER) for different population group - cost of energy-yielding nutrients (protein, fat and carbohydrate) to estimate the cost of balanced MDER to compute the critical food poverty line

  19. METHODOLOGICAL ISSUES 1. Food data 2. Data requirement 3. Recommendations 4. Additional data 5. Statistical framework

  20. METHODOLOGICAL ISSUES 5. Statistical framework parametric approach to estimate food and income deprivation at national and subnational levels [Parametric versus non parametric approach (Sibrian, Naiken and Mernies, 2007)]

  21. CHALLENGES 1- NHS improvement - Inclusion of food acquisition in several questionnaires for estimation of CPI and food acquisition for food security assessment - Collect data on food intake and food acquisition in a subsample to estimate food intake in the total sample - Collection of data on height in NHS every five years 2- Statistical capacity improvement 3- Policy analysis and interventions with impact on food security by bringing together multi-sectoral working groups of users and producers of food security statistics for decision making

  22. CONCLUSIONS • NHS in countries are major sources of information for deriving food security statistics and indicators that can help in making decisions which can have a positive impact on food security. • 2. NHS can incorporate food consumption, in addition to food acquisition and focus data collecting procedures, including household member characteristics. • 3. NSO are able to process and analyze food security statistics and indicators, jointly with users, for the purpose of assessing and monitoring food insecurity at national and sub-national levels.

  23. THANK YOU

More Related