About Us
The Livestock in Africa: Improving Data for Better Policies Project, or Livestock Data Innovation Project, is a three-year (2010-2012) project which works with national governments and institututes to pilot and develop methodologies for identifying, collecting and analyzing livestock data in three pilot countries-Uganda, Tazania and Niger. The Project supports the identification of key livestock indicators and underlining data which fosters pro-poor investment and policy formulation through the institutionalization of this data into national frameworks of agricultural statistics. The project consists of three components:
1. Collection and analysis of household survey data to improve our understanding of the role of livestock in the household economy.
2. Collection and analysis of data measuring current and project consumption of livestock products to identify market opportunities for small livestock producers, and smallholder accessible supply chains
3. Identification and analysis of data / indicators representing constraints that prevent small livestock producers from being efficient and participating in potentially remunerative value chains and markets.
While the Livestock Data Innovation Projects is piloting data-related activities in three sub-Saharan African countries, it will produce two major outputs of use for all sub-Saharan African countries:
1. A ‘Sourcebook on Livestock Data in Africa’, which is a guide towards collecting and analyzing livestock-related and poverty data with the objective of better understanding and responding to the key developmental questions facing livestock sectors.
2. An advocacy document ‘Making the Case for Investing in Livestock in Africa’ which provides empirical evidence on the role of livestock in the lives and livelihoods of the poor and recommends strategies to enhance the contribution of livestock to poverty reduction and economic growth.
The Livestock Data Innovation Project is sponsored by the Bill & Melinda Gates Foundation and jointly implemented by the World Bank, ILRI and FAO, in collaboration with AU-IBAR.