Verisk releases first-of-kind predictive SRCC data model for political violence insurers

SRCC Predictive Model - Learn more


A new predictive strikes, riots, and civil commotion (SRCC) data model, providing forecasts for thousands of global locations on the potential for damaging civil unrest events to emerge, has been released by Verisk’s (Nasdaq: VRSK) risk intelligence business, Verisk Maplecroft.

Developed for political violence underwriters, exposure analysts, modellers, and specialty reinsurers as part of the Lloyd’s Lab accelerator programme, Verisk Maplecroft's new SRCC Predictive Model offers insurers an entirely new approach to how they assess and price these risks and is unlike anything currently available to the market.

Would you like to learn more about how the SRCC Predictive Model can help you?

“Insured losses linked to major bouts of unrest have reached new highs in recent years, while our data tells us that in the last 12 months, SRCC risks have risen in over 50% of countries,” says Verisk Maplecroft’s Head of Risk Analytics, Sam Haynes. “As these risks expand, so too does the need for granular, forward-looking data that provides valuable insight into exposures.”

Building on Verisk Maplecroft’s extensive experience in quantifying political violence, the model provides 12-month forecasts for 50,000 counties and districts globally on the risk of severe protests occurring that could result in insured losses. The machine learning model validates its predictions against actual insured losses and draws on geospatial data covering the size of recent protests, concentrations of economic value, demographics, and a range of political risk, climate, and socio-economic indicators.

As part of Verisk’s growing suite of sustainability and resilience exposure analytics, which includes extreme event models and global geospatial datasets covering the full spectrum of ESG and political risks, the SRCC Predictive Model will help political violence insurers:

  • Improve visibility on the frequency, location, and size of SRCC events
  • Make better, more informed decisions to price policies
  • Quickly identify portfolio exposure to unfolding SRCC events
  • Anticipate potential future SRCC related losses

Unforeseen losses, alongside ongoing global political and economic uncertainty highlights the insurance industry need for enhanced solutions to help it anticipate where large-scale, damaging events may take place. Historical findings from the model shows that SRCC risks have generally worsened in all regions over the past two years except in the Middle East and North Africa. However, it is the forward-looking capabilities that should matter most to insurers. The SRCC Predictive Model’s data suggests that the trend for costly, major civil unrest events across the world will likely continue, with political violence insurers potentially facing greater exposures.

Access to the SRCC Predictive Model and its underlying data is available via Verisk platforms and through API.

About Verisk

Verisk (Nasdaq: VRSK) provides data-driven analytic insights and solutions for the insurance and energy industries. Through advanced data analytics, software, scientific research and deep industry knowledge, Verisk empowers customers to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud and make informed decisions about global issues, including climate change and extreme events as well as political and ESG topics. With offices in more than 30 countries, Verisk consistently earns certification by  Great Place to Work and fosters an inclusive culture where all team members feel they belong. For more, visit and the Verisk Newsroom.

Related content

Laptop - SRCC data in a mapping platform

SRCC Predictive Model

The market’s first predictive SRCC data solution – global in scope, granular in detail