Area of Intervention PARSANKO Development Project (Central African Republic)

This geospatial dataset represents the area of intervention of the development of rice sector in the Republic of Cameroon, supported by the World Development Bank (WDB), UN FAO and the Cameroonian Government. The project aims to enhance rice production, to improve food and nutrition security and strengthen the resilience of vulnerable populations through sustainable agriculture, climate adaptation, and livelihood support. The dataset is designed for integration with other geospatial layers under the FAO Hand-in-Hand Initiative (HiHI), supporting evidence-based investment planning and targeted interventions in the agricultural sector. **Data creation:** 2025-08-05 **Citation:** FAO. [YYYY (year of last update)]. [Name of database: Name of dataset OR Name of database]. [Accessed on [DD Month YYYY]]. [URL] Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Lionel Guemdjo](mailto:guemdjo.lionelromeo@fao.org) **Data lineage:** lineage statement lineage statement The project area of intervention was created with information from the Plan d’investissement pour le développement de la filière riz, from Forum d’Investissement | Rome, Italie | 16 au 20 octobre 2023 and the Plan d’investissement pour le développement de la filière riz, from the Forum d’Investissement | Rome, Italie | 15 au 17 octobre 2024 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). **Online resources:** [Web map service for the project area of intervention]()

This dataset provides authoritative boundaries for protected areas within the FAO TCP/IVC/3908 Area of Interest in Côte d’Ivoire, covering the Centre, Nord, and Nord‑Est agropoles (approx. 134,614 km², ~41.75% of national territory). It identifies 84 protected areas—82 classified forests and 2 national parks: Parc national de la Comoé (Bounkani Region) and Parc national d’Abokouamékro (Yamoussoukro Autonomous District). Designed to support Hand‑in‑Hand investment targeting and land‑use planning, the data enable risk‑informed rural development while safeguarding critical ecosystems and restoration zones. Intended uses include project siting, due diligence, and policy analysis across agriculture, infrastructure, and conservation. **Data creation:** 2025-08-07 **Data publication:** 2026-07-08 **Supplemental Information:** Objective: support prioritized investment planning tied to food security, climate resilience, and wealth creation, using advanced geospatial analytics and partnerships under FAO’s Hand‑in‑Hand approach. **Citation:** FAO. [YYYY (year of last update)]. [Name of database: Name of dataset OR Name of database]. [Accessed on [DD Month YYYY]]. [URL] Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [FAO-Data](mailto:FAO.data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:nelson.rosasribeirofilho@fao.org) **Data lineage:** Boundaries compiled and validated within the TCP/IVC/3908 geospatial study for Côte d’Ivoire’s agropoles; integrated with thematic layers on vegetation/land cover and planning baselines developed in the study, Rapport de l’étude SIG: Contribution à l’opérationnalisation des agropoles à travers la mise en œuvre de l’initiative "Main dans la Main en Côte d’Ivoire" (TCP/IVC/3908). **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Zipped vector SHP file for "Protected Areas within FAO Hand‑in‑Hand Agropoles - TCP/IVC/3908 (Côte d’Ivoire)"

This dataset delineates the three priority agropoles selected under the FAO Hand-in-Hand Initiative TCP/IVC/3908 in Côte d’Ivoire: Centre, Nord and Nord-Est. It supports territorialized investment planning for agricultural transformation, food security, poverty reduction and inclusive rural development. The dataset provides a spatial reference for analysing agropole-level priorities, including key value chains, infrastructure needs, stakeholder coordination and investment opportunities. Priority value chains include rice, cassava, cashew, aquaculture and poultry in the Centre; cashew, rice, maize, poultry and cattle in the Nord; and yam, cashew, rice, poultry and cattle in the Nord-Est. **Data creation:** 2026-07-03 **Data publication:** 2026-07-07 **Supplemental Information:** Produced under the TCP/IVC/3908 geospatial assessment, this dataset complements thematic layers related to infrastructure, production systems, and market dynamics used for planning in the Centre, Nord, and Nord‑Est agropoles. **Citation:** FAO. [YYYY (year of last update)]. [Name of database: Name of dataset OR Name of database]. [Accessed on [DD Month YYYY]]. [URL] Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [FAO-Data](mailto:FAO-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:nelson.rosasribeirofilho@fao.org) **Data lineage:** The dataset was prepared under FAO TCP/IVC/3908, based on the institutional and value-chain analysis for the operationalization of agropoles through the Hand-in-Hand Initiative in Côte d’Ivoire. Source information was compiled from documentary review, stakeholder consultations, field-informed diagnostics, value-chain analysis, SWOT/FFOM assessment and participatory validation. The agropole boundaries and attributes were harmonized to reflect the three pilot territories, their priority value chains, institutional context and main investment-planning needs. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Web map service for Agropoles within FAO Hand‑in‑Hand Agropoles – TCP/IVC/3908 (Côte d’Ivoire) Zip package containing vector dataset (shape file) for the Hand-in-Hand Priority Agropoles (Côte d'Ivoire)

The raster dataset consists of a 500 m score grid for crop storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations: • Supply: Cassava. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.3) + (“Major Cities Accessibility” * 0.2) + (”Poverty” * 0.1) + ("Human Population Density" * 0.1) + (“Regional Cities Accessibility” * 0.1) +(“Port Accessibility” * 0.2) **Data publication:** 2021-10-15 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Maribel Elias](mailto:maribel.elias@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty – Atlas AI 2020 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Crop Storage Location Score: Cassava (Congo, Rep.- ~ 500 m)

The raster dataset consists of a 500 m score grid for crop storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations: • Supply: Fruits. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.3) + (“Major Cities Accessibility” * 0.2) + (”Poverty” * 0.1) + ("Human Population Density" * 0.1) + (“Regional Cities Accessibility” * 0.1) +(“Port Accessibility” * 0.2) **Data publication:** 2021-10-15 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Maribel Elias](mailto:maribel.elias@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty – Atlas AI 2020 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Crop Storage Location Score: Fruits (Congo, Rep.- ~ 500 m)

The raster dataset consists of a 500 m score grid for crop storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations: • Supply: Vegetables. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.3) + (“Major Cities Accessibility” * 0.2) + (”Poverty” * 0.1) + ("Human Population Density" * 0.1) + (“Regional Cities Accessibility” * 0.1) +(“Port Accessibility” * 0.2) **Data publication:** 2021-10-15 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Maribel Elias](mailto:maribel.elias@fao.org) **Data lineage:** lineage statement Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units. 3. OpenStreetMap. 4. Poverty – Atlas AI 2020 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Crop Storage Location Score: Vegetables (Congo, Rep.- ~ 500 m)