Community Risk Assessment (CRA) is a dashboard that identifies and predicts the geographic areas that are most affected by a natural disaster.


There is a lot of knowledge of risk at a national level, but a clear lack of risk assessment on subnational & governmental levels.

The goal of the CRA dashboard is to quickly identify the geographic areas that are most affected by a natural disaster or crisis and, within those areas, the people that are most affected. It forms a data preparedness solution to help reach those affected and most vulnerable faster and more efficiently.


We build a dashboard that contains the integrated data from many sources separated on all admin levels.

We collect and integrate all relevant pre-disaster data sources on a detailed geographical level, focusing on indicators inspired by the INFORM risk-framework with three main components:

  1. 1: Long-term Hazard Risk (based on historical events)
    e.g. Flood & Drought Risk
  2. 2: Vulnerability
    e.g. Poverty
  3. 3: Lack of Coping Capacity
    e.g. Distance to the nearest hospital

Having all this data readily available and easily accessible before a disaster strikes can save a lot of time.

CRA uses the Inform Framework and applies it to the various admin levels in the country.

Where INFORM makes risk comparable across countries, the goal of the 510 CRA Dashboard is to prioritise smaller areas or communities. For this reason, we have been adding data sets that refer to the different admin areas per country.

In Malawi, for example, the top admin unit is a District (of which there are 32). In the CRA dashboard, you can go down two more admin levels, to TA: Traditional Authorities (of which there are 367) and we are currently updating information on the GVH: Group Village Head (of which there are 9133) and is the lowest admin level in Malawi.


We started in the Philippines and now have 16 countries.

The scope of the CRA dashboard is global. It’s using Open Street Map as a base with global open data sources built on top. As our project base grows we will add more countries over time.

  • Full: For these countries, a complete set of indicators has been collected across all risk-components, to give a reliable indication of risk per area. More and better data collection will improve the risk index further.
  • Basic: For these countries, a first minimal set of indicators has been collected across all risk-components. The purpose is to give rough first insights into the spread of risk over the country, but also mainly to show stakeholders what is possible. This is only the starting point. More and better data collection is to follow.
  • Template: For these countries, only the Administrative Boundaries and the Population are included. The infrastructure is all there to start uploading risk data sets.


The initial concept of the Dashboard began in 2016.


The initial concept of the Dashboard was funded in 2016 by PFR Partners for Resilience and PMF Prinses Margriet Fonds. The first version of the Dashboard was created in 2016 together with  The Philippines Red Cross.

We work together with every national society of the country that the dashboard is created for.

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