The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions.
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The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions.
An impact assessment (IA) study was conducted in Rwanda in 2015 to determine the adoption and diffusion rates of high iron beans (HIB) varieties after eight seasons of active dissemination; understand HIB adoption and diffusion patterns across var
dataset
Replication Data for: Income, Consumer Preferences, and the Future of Livestock-Derived Food Demand
This dataset contains the data and scripts required to reproduce the tables and figures in the study titled "Income, consumer preferences, and the future of livestock-derived food demand." R scripts were run using R version 4.0.5 on Windows 10 x64
dataset
Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017
Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM, also known as MapSPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units.
dataset
AReNA’s DHS-GIS Database
Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020.
Democratic Republic of the Congo (DRC) Micronutrient Cross-Sectional Household Survey is a comprehensive nutritional survey among women (18–45 years) and their children (6–59 months) in the South Kivu and Kongo Central Provinces of the Democratic
Anemia remains a public health problem in Rwanda, affecting 38% of young children and 17% of reproductive-aged women (Demographic and Health Survey [DHS] 2010). The importance of iron deficiency (ID) as a cause of anemia in Rwanda is not known.
This dataset include survey instrument and data used in a collaborative technology adoption study conducted by the Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) and IFPRI.
GIS dataset for constructing three-dimensional Development Domain for ASARECA's operation area in 12 East and Central Africa countries.
Reliable market accessibility data is critical to develop agricultural policies and investment plans for ensuring smallholder farmers’ market participation and their profitable farming, yet this data is less frequently updated.
Spatially-explicit data is increasingly becoming available across disciplines, yet they are often limited to a specific domain.
Yield gap of nine priority commodities of the African Development Bank was assessed and aggregated at two levels across the Africa continent:
Agro-Ecological Zones (AEZ) for Africa South of the Sahara (SSA) were developed based on the methodology developed by FAO and IIASA.
dataset
Urban extent of Africa 2010
Accurate delineation of the urban and rural areas has a broad range of implications on the quality and reliability of agricultural production and socio-economic statistics, design of household survey, establishment of agricultural development stra
dataset
ASTI Gabon database
Working through collaborative alliances with numerous national and regional R&D agencies and international institutions, Agricultural Science and Technology Indicators (ASTI) is a comprehensive and trusted source of information on agricultural
dataset
ASTI Rwanda database
Working through collaborative alliances with numerous national and regional R&D agencies and international institutions, Agricultural Science and Technology Indicators (ASTI) is a comprehensive and trusted source of information on agricultural
Working through collaborative alliances with numerous national and regional R&D agencies and international institutions, Agricultural Science and Technology Indicators (ASTI) is a comprehensive and trusted source of information on agricultural
Working through collaborative alliances with numerous national and regional R&D agencies and international institutions, Agricultural Science and Technology Indicators (ASTI) is a comprehensive and trusted source of information on agricultural
Working through collaborative alliances with numerous national and regional R&D agencies and international institutions, Agricultural Science and Technology Indicators (ASTI) is a comprehensive and trusted source of information on agricultural