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DRC Displacement Forecast API
Reliable forecasting and insights on displacement trends to support humanitarian planning and response.
The Displacement Forecast API provides structured, secure access to forecasted displacement data across countries, regions, and administrative levels to support decision-making, preparedness, and operational planning.
About the DRC Displacement Forecast API
The DRC Displacement Forecast API enables secure and standardized access to displacement forecast data generated from analytical models and historical datasets.
It is designed for humanitarian organizations, analysts, governments, and partners to integrate displacement insights into planning systems, dashboards, and analytics tools.
Scope and Data Availability
The API provides forecast data at multiple administrative levels:
- Country level (Admin 0)
- Regional level (Admin 1 - states/provinces)
- Local level (Admin 2 - districts/areas)
The data is structured to support both high-level overview and
localized operational analysis.
Key Forecast Indicators
The API includes the following core indicators:
- Forecasted displaced population
- Country of origin / displacement source
- Gender distribution (where available)
- Displacement drivers (conflict, climate, disasters, etc.)
- Time-based forecast horizons
Use Cases
The DRC Displacement Forecast API supports:
- Humanitarian preparedness and early warning systems
- Resource allocation and response planning
- Academic and policy research
- Integration into dashboards and BI tools (Power BI, Tableau)
- Automated reporting pipelines
Getting Started
To start using the API:
1. Subscribe to the API product
2. Obtain your subscription key
3. Use the API endpoint in your preferred tool
4. Authenticate using Ocp-Apim-Subscription-Key header
Definitions
Displaced Persons: Individuals or groups forced to leave their place of residence due to conflict, disasters, or other crises.
Forecast Data: Model-generated projections based on historical trends, risk indicators, and analytical modeling.
Administrative Levels: Geographical classification used for structured reporting (Country, Region, District).