Presented by Derek Baker (ILRI), Ibrahim Ahmed (AU-IBAR), Ugo Pica-Ciamarra (FAO) to the 12th Inter-Agency Donor Group Meeting, Nairobi, Kenya, 10-13 May 2011

1. Livestock data in Sub Saharan Africaavailability and issues Derek Baker (ILRI), Ibrahim Ahmed (AU-IBAR), Ugo Pica-Ciamarra (FAO) 12th Inter-Agency Donor Group Meeting Nairobi 10-13 May 2011

3. AU-IBAR’s ARIS25. Entry points

5. combating other negative aspects of livestock

6. investment in livestock (public / private / public-private / donors) 3. Intervention for improvement

7. Currentsources of livestock data Agricultural / livestock censuses - All reference pop. – few questions – status of sector Living standards measur. surveys (LSMS) - Representative sample - many questions - poverty Service delivery surveys (LSMS) - Representative sample – few questions - services Administrative records / monitoring - All reference pop. – few questions – provision of services Project-based and commercial efforts Other - Focus group – rapid appraisal – Univ research

8. Survey of stakeholders on LS data

9. Survey of stakeholders on LS data

11. WAHID (Oie) (health / disease)

12. World Bank (productivity)

13. GLiPHA (production / health)

16. Objective: ‘improve the quality of livestock data and promote pro-poor investments in the livestock sector’

18. HH survey data (mainly)

19. Working with Ministries of Livestock / Statistical Offices

20. Identification of KEY LIVESTOCK INDICATORSneeded by stakeholders

21. Identification of priorities to improve systems of livestock data collection

22. Sourcebook

24. Low cost approach – open source software

25. Wide scope (AH, Production, Marketing & trade, Fisheries, Wildlife, Standards etc)

26. Interoperable and collaborative Coverage:- All AU MS, RECs and IBAR hqtrs

28. Intermediaries and other non-formal (trade related) sources

29. Participatory methods

30. Other Novel and other non-conventional methods

31. Bridge Gap/disconnect between National Bureau of Stats and Agriculture/Livestock Depts

32. Data exchange capacity with various data sources

33. Input for possible expansion of ARIS modules – improving its relevance

34. Opportunity for convergence and complementarity

36. Technical assistance to collection, processing, storage, dissemination

37. Rationalization of parallel processes / multiple users/uses

38. Scaling out to new countries, new commodities, service sector

39. Partnership with private sector data initiatives

40. Combination with work on standardsOpportunities Opportunities

41. Thank you