Index Based Livestock Insurance (IBLI) Marsabit Household Survey

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Dataset metadata

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Created Wednesday 24th of September, 2014
Last updated Tuesday 22nd of November, 2022
Dataset type Non-spatial
Abstract The first (baseline) round of socio-economic household survey to evaluate the impact of Index Based Livestock Insurance (IBLI) in Marsabit, Northern Kenya. International Livestock Research Institute (ILRI), Cornell University, University of California-Davis, and Syracuse University in collaboration with implementing partners, UAP Insurance Company and Equity Bank piloted in January 2010 a market-mediated index-based insurance product, designed to protect pastoralists from drought-related livestock mortality, in Marsabit district. To better understand and monitor the success of IBLI, there is the need for continuous impact evaluation and assessment, tracking the changes in well-being of individual households that can be attributed to the program and product. To that end, the IBLI team carried out a pre-intervention baseline survey (October-November 2009) and complemented it with annual follow-up rounds from 2010 to 2015. The details of the survey and the data are described in the data codebook. For more general information on the research and development process of the IBLI products and pilots, visit
Principal investigator Andrew Mude
Partners Andrew Mude, Chris Barrett, Michael Carter, John McPeak, Sommarat Chantarat, Nathaniel Jensen, Brian Dillon, Sarah Janzen, Nishith Prakash, Samuel Mburu, Robert Ouma, Amy Kahn
Other researchers involved Munenobu Ikegami, Mohamed Shibia, Oscar Naibei, Anne Gesare, Philemon Chelanga, Eddy Chebelyon, Diba Kone Galgallo
Contact person Munenobu Ikegami
Contact email
Data collected from 14/11/2009
Availability date 24/09/2014
License Creative Commons Attribution
Release of confidential data? No
Consent obtained? No
Citation Index Based Livestock Insurance (IBLI) Marsabit Household Survey
Acknowledgements This publication was made possible by access to data collected by the Index Based Livestock Insurance (IBLI) Project, a collaborative effort of the International Livestock Research Institute (ILRI), Cornell University, Syracuse University, the BASIS Research Program at the University of California at Davis. Data collection was made possible, in part, by support provided by the generous funding of the UK Department for International Development, the Australian Department of Foreign Affairs and Trade and the Agriculture and Rural Development Sector of the European Union through DfID accountable grant agreement No: 202619-101, the UK Department for International Development through FSD Trust Grant SWD/Weather/43/2009, the United States Agency for International Development grant No: EDH-A-00-06-0003-00, the World Bank’s Trust Fund for Environmentally and Socially Sustainable Development Grant No: 7156906, and the CGIAR Research Programs on Climate Change, Agriculture and Food Security (CCAFS) and Dryland Systems. All views and interpretations expressed in this publication are those of the authors and not necessarily those of the supporting or cooperating institutions.
Spatial area covered

Project metadata

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Project title Index Based Livestock Insurance (IBLI) Project
Project abstract Since 2008, ILRI and its partners in the public, private, and non-profit sectors have pursued a comprehensive research agenda aimed at designing, developing, and implementing market-mediated index-based insurance to protect livestock keepers from drought related asset losses, particularly those in the drought prone Arid and Semi-Arid Lands (ASALs). For pastoralists whose livelihoods rely solely or partly on livestock, the resulting high livestock mortality rate has devastating effects on asset levels, rendering them among the most vulnerable populations in Kenya and Ethiopia. Index-based insurance represents an exciting innovation that could allow vulnerable rural smallholder farmers and livestock keepers to benefit from insurance and thus reduce climate-related risk. Because index insurance is based on the realization of an outcome that cannot be influenced by insurers or policy holders (such as the amount and distribution of rainfall over a season), it has a relatively simple and transparent structure. This makes such products easier to administer and consequently more cost-effective to develop and trade. Indeed the success of several pilot programs in India and various countries in Africa and Latin America has proven the feasibility and affordability of such products.
Project website
Grant code UOC001 IS04 ADD, CG703 IS03 ADD
Donor USAID, UK DfID, EU, AusAID, World Bank, ILO, BASIS, I4, CRP7, CRP1.1
Partners Cornell University, the BASIS Research Program at the University of California at Davis, the University of Sydney, Syracuse University, Oromiya Insurance Company, Oromia Credits and Saving Share Company (OCSSCO), APA Insurance Company, Takaful Insurance
Start date 01/01/2008
End date 30/09/2016
Principal investigator Andrew Mude
Other staff involved Munenobu Ikegami, Bryn Davies, Apurba Shee, Brenda Wandera, Birhanu Taddesse, Wako Gobu, Anne Gesare, Philemon Chelanga, Oscar Naibei, Eddy Chebelyon, Mohamed Shibia, Diba Galgallo, Rupsha Banerjee, Duncan Khalai