Transforming human development planning in rural Morocco

Decision-maker’s challenge

More than 13.5 million rural residents in Morocco face serious gaps in basic services, limiting their economic opportunities and future prospects. The Initiative Nationale pour le Développement Humain (INDH) represents a nationwide commitment to addressing these disparities through targeted development programs across rural communities.

To navigate this complex challenge, decision-makers need accurate and comprehensive data to ensure effective program implementation. INDH needed a system to track community needs and empower local leaders to make informed decisions that will directly impact the lives and livelihoods of millions.

Impact opportunity

This challenge touches over 15 million people. Evidence-informed decisions can help allocate services and millions of dollars to where they are most urgently needed, leading to improved access, quality, and fairness in how health, education, and infrastructure investments reach the most vulnerable.

Our approach

IDinsight partnered with INDH and the World Bank (2019–2025) to close the data gap. Together, we gathered evidence from thousands of households and existing administrative datasets, then built Morocco’s first integrated digital platform visualizing 500+ indicators on local needs and services. We trained INDH teams to use data in every step of planning, decision-making, and ongoing monitoring.

More specifically, we conducted these activities:

• Household data collection: We collected data from 42,000 households starting with pilots in Khénifra province and scaling up to 210 rural circles, 83 provinces, and 12 regions. We applied an innovative blend of sampling techniques (village lists and rooftop-based sampling) and multiple data collection modes (in-person, phone and village officials) to improve accuracy and efficiency. We had ~300 enumerators and developed a semi-automated data pipeline to track progress and quality during field work, including protocols for monitoring, cleaning and analysis. 
• Administrative + platform integration: Data from households and Ministries of Education & Health, mapped into a comprehensive digital dashboard usable at every level of decision-making.
• Capacity-building: INDH staff empowered with training on survey design, Open Data Kit (ODK), sampling, Geographic Information System (QGIS), fieldwork ethics, data cleaning, and dashboard use—designed for hands-off, adaptability, and future scaling.

The results

INDH teams now use this evidence to guide funding and planning decisions. The platform helps ensure resources match real community priorities—making policy more responsive and helping rural communities get the services they need most. Continuous capacity-building empowers staff to institutionalize data use, strengthening Morocco’s social protection.

Household-level data now guides annual planning and budget allocation, replacing intuition with solid evidence for each territory.

• Decision-makers at all levels—local, provincial, regional, national—can now propose, design, and fund new projects based on reliable data.
• Theory of Change frameworks and Data Matrix help monitor outputs and outcomes across all INDH programs.
• This platform enables resource allocation for up to 18 million people, supporting INDH to deliver targeted, impactful social protection.
• The project built lasting technical capacity, ensuring this data-driven model can sustain and evolve for years.