New Hand-in-Hand Agricultural Typologies Geospatial Datasets Released

New geospatial datasets to support evidence-based planning for rural development and agricultural transformation.

These datasets leverage advanced geospatial analytics to identify high-impact investment opportunities, aiming to boost rural incomes, reduce vulnerabilities, and promote sustainable agrifood systems. They address global challenges such as poverty, hunger, malnutrition, and inequality.

Hand-in-Hand Initiative Coverage and Methodology

• Over 80 countries included
• Agricultural Typologies: Built using stochastic frontier analysis of biophysical and socio-economic data
• Suitability Assessments: Based on GIS-driven multi-criteria evaluation
  

Latest Release

Focus countries: Democratic Republic of the Congo, the Hashemite Kingdom of Jordan,

the Republic of Liberia, the United Mexican States

Includes:

Agricultural Typology Classifications for guiding agrifood infrastructure development