News and updates on research on livestock value chains by the International Livestock Research Institute and partners

Friday, May 18, 2012

New report identifies priority areas for investment to improve livestock data in Africa

Sheep being watered at a waterhole in Niger
Livestock at a watering hole in Niger. A new report identifies priority areas for government investment towards improving the quality of livestock data in Africa (photo credit: ILRI). 

The Livestock Data Innovation in Africa project has published a new report (May 2012)  that  reviews the results of a global online survey that was carried out to identify priority areas for investments to improve the quality of livestock data. 

The survey was carried out between January and February 2012 among 641 livestock stakeholders including researchers, donors, government officials from livestock ministries or departments, and officials from non-governmental organizations and private companies. 

The objectives of the survey were to: 
  • rank the main areas in the livestock value chain where livestock-related data and information are needed;
  • review stakeholders' perceptions of the quality of available livestock data and indicators; and
  • identify priority areas along the livestock value chain where investments are needed to improve the quality and quantity of livestock data and indicators.

The findings of the report, Core livestock data and indicators: results of a stakeholder survey, will provide governments with information on the critical gaps in livestock data. 

In addition, the results will feed into the process of developing a minimum  set of livestock core data that governments should collect, as mandated by the global strategy to improve agriculture and rural statistics.

The Livestock Data Innovation Project is sponsored by the Bill & Melinda Gates Foundation and jointly implemented by the World Bank, the Food and Agriculture Organization of the United Nations (FAO) and the International Livestock Research Institute (ILRI), in collaboration with the African Union Interafrican Bureau for Animal Resources (AU-IBAR).


  1. You may be interested in this, ahem, rumination on livestock (and other) data

    1. Thanks, Luigi. You raise a very valid point about the need for a more harmonized, user-friendly approach to sharing of spatial data on livestock. I will share your views with colleagues at ILRI working on GIS data management.

  2. Note that Caroline Bosire (PhD student at ILRI) is currently working with Mohamed Said on the compilation of spatial data describing the distribution of livestock in Kenya from the 1970s onward