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International Food Policy Research Institute (IFPRI) Dataverse (International Food Policy Research Institute)
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In collaboration with institutions throughout the world, IFPRI is often involved in the collection of primary data and the compilation and processing of secondary data. The resulting datasets provide a wealth of information at the local (household and community), national, and global levels. IFPRI freely distributes as many of these datasets as possible and encourages their use in research and policy analysis. Please note that the datasets require proper citation and citation information is included with the accompanying documentation to each dataset. Please contact IFPRI-Data@cgiar.org or IFPRI-Library@cgiar.org for questions about IFPRI datasets.

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1 to 10 of 342 Results
Jan 16, 2018 - Agricultural Science and Technology Indicators (ASTI) Dataverse
Agricultural Science and Technology Indicators (ASTI), 2018, "ASTI Cameroon Database", doi:10.7910/DVN/8GPPTG, Harvard Dataverse, V1
This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure...
Jan 16, 2018 - Agricultural Science and Technology Indicators (ASTI) Dataverse
Agricultural Science and Technology Indicators (ASTI), 2018, "ASTI Cote d’Ivoire Database", doi:10.7910/DVN/RSVA09, Harvard Dataverse, V1
This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure...
Jan 16, 2018 - Agricultural Science and Technology Indicators (ASTI) Dataverse
Agricultural Science and Technology Indicators (ASTI), 2018, "ASTI Niger Database", doi:10.7910/DVN/HYF6G9, Harvard Dataverse, V1
This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure...
Jan 16, 2018 - Agricultural Science and Technology Indicators (ASTI) Dataverse
Agricultural Science and Technology Indicators (ASTI), 2018, "ASTI South Africa Database", doi:10.7910/DVN/ACXBG9, Harvard Dataverse, V1
This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure...
Jan 16, 2018 - Agricultural Science and Technology Indicators (ASTI) Dataverse
Agricultural Science and Technology Indicators (ASTI), 2018, "ASTI Zambia Database", doi:10.7910/DVN/ZUFXYG, Harvard Dataverse, V1
This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure...
Jan 12, 2018
Department of Environmental Science, New York University; International Food Policy Research Institute (IFPRI); Lilongwe University of Agriculture and Natural Resources, 2018, "Smart Subsidies for Catchment Conservation in Malawi", doi:10.7910/DVN/GTSEWP, Harvard Dataverse, V1, UNF:6:7c7Qk0G4xJ4R50hRzksOBw==
This dataset includes a baseline and endline survey from a cluster-randomized sample of households within villages covering the five uppermost Extension Planning Areas (EPAs) in the Shire River Basin in southern Malawi, spanning the districts of Balaka, Machinga, and Zomba. These...
Dec 22, 2017 - International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) Dataverse
International Food Policy Research Institute (IFPRI), 2017, "Extended Results from the International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT version 3.2.1) for Sulser et al (2015)", doi:10.7910/DVN/XEZXT4, Harvard Dataverse, V1
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices. The International Food Policy Research Inst...
Dec 5, 2017 - IFPRI HarvestChoice Dataverse
HarvestChoice, International Food Policy Research Institute (IFPRI); University of Minnesota, 2017, "CELL5M: A Multidisciplinary Geospatial Database for Africa South of the Sahara", doi:10.7910/DVN/G4TBLF, Harvard Dataverse, V5
Spatially-explicit data is increasingly becoming available across disciplines, yet they are often limited to a specific domain. In order to use such datasets in a coherent analysis, such as to decide where to target specific types of agricultural investment, there should be an ef...
Dec 5, 2017 - IFPRI HarvestChoice Dataverse
International Food Policy Research Institute (IFPRI); International Institute for Applied Systems Analysis (IIASA), 2016, "Global Spatially-Disaggregated Crop Production Statistics Data for 2005 Version 3.2", doi:10.7910/DVN/DHXBJX, Harvard Dataverse, V9
Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units...
Nov 28, 2017 - Africa RISING Dataverse
World Agroforestry Centre (ICRAF), 2017, "AfricaRISING Project- Local agro-ecological knowledge as a basis for sustainable intensification of tree- crop- livestock systems in the Ethiopian highlands: Sinana Woreda, Oromo Region", doi:10.7910/DVN/IHAFEX, Harvard Dataverse, V1
This study provides results from local knowledge studies conducted in Endamahoni woreda, Tigray region, Ethiopia. The local knowledge was used as a means of understanding fine-scale variation in a non-homogeneous smallholder system in the wheat-belt of the Ethiopian highlands. Th...
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