Industrial Facilities
Better understand the unique nature of industrial and energy facilities with models customized for these distinct exposures.
Industrial-Specific Perils
Better understand the risk profile of industrial and energy facilities, including renewables, where a high percentage of value is associated with machinery, equipment, and stock rather than structures.
Hazardous Region Risk
Guard against underestimating risk for industrial facilities in regions with greater levels of value located in high-hazard areas.
Capital Adequacy and Allocation
Improve capital requirement calculations and reinsurance-based decision-making with industrial-specific insights.
Capture Specialized Features
Collect and analyze industrial and energy facility characteristics not captured in standard property catastrophe models.
Specialized Industrial Vulnerability
Accurately define and analyze the damageability of a comprehensive set of industrial and energy facilities using an advanced vulnerability model.
Related Products
Regional and Country Industrial Facilities Models
Regional Models
Click a region on the interactive map to see coverage.
North America Industrial Facilities
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Canada
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Mexico
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United States
Europe Industrial Facilities
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Andorra
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Austria
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Belgium
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Bulgaria
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Czech Republic
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Denmark
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Finland
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France (including Monaco)
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Finland
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Germany
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Greece
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Hungary
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Ireland
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Italy (including San Marino and Vatican City)
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Liechtenstein
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Luxembourg
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Netherlands
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Norway
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Poland
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Portugal (including Madeira Islands)
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Romania
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Slovakia
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Slovenia
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Spain (including Canary Islands)
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Sweden
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Switzerland
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Turkey
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United Kingdom
Asia-Pacific Industrial Facilities
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Australia
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China
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Guam
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Hong Kong
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India
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Indonesia
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Japan
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Macau
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Malaysia
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New Zealand
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Philippines
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Singapore
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South Korea
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Taiwan
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Thailand
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Vietnam
Latin America Industrial Facilities
- Caribbean
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Anguilla
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Antigua & Barbuda
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Aruba
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Bahamas
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Barbados
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Bermuda
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Bonaire
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British Virgin Islands
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Cayman Islands
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Cuba
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Curacao
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Dominica
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Dominican Republic
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Grenada
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Guadeloupe
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Haiti
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Jamaica
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Martinique
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Montserrat
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Puerto Rico
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Saba
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Sint. Maartin
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St. Barthelemy
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St. Eustatius
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St. Kitts and Nevis
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St. Lucia
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St. Martin
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St. Vincent and the Grenadines
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Trinidad & Tobago
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Turks & Caicos
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U.S. Virgin Islands
- Central America
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Belize
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Costa Rica
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El Salvador
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Guatemala
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Honduras
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Nicaragua
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Panama
- South America
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Argentina
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Bolivia
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Brazil
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Chile
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Colombia
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Ecuador
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Peru
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Venezuela
North America
Latin America
Europe
Asia-Pacific
North America Industrial Facilities
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Canada
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Mexico
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United States
Europe Industrial Facilities
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Andorra
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Austria
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Belgium
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Bulgaria
-
Czech Republic
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Denmark
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Finland
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France (including Monaco)
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Germany
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Greece
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Hungary
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Ireland
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Italy (including San Marino and Vatican City)
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Liechtenstein
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Luxembourg
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Netherlands
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Norway
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Poland
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Portugal (including Madeira Islands)
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Romania
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Slovakia
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Slovenia
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Spain (including Canary Islands)
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Sweden
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Switzerland
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Turkey
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United Kingdom
Asia-Pacific Industrial Facilities
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Australia
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China
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Guam
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Hong Kong
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India
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Indonesia
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Japan
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Macau
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Malaysia
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New Zealand
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Philippines
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Singapore
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South Korea
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Taiwan
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Thailand
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Vietnam
Latin America Industrial Facilities
- Caribbean
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Anguilla
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Antigua & Barbuda
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Aruba
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Bahamas
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Barbados
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Bermuda
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Bonaire
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British Virgin Islands
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Cayman Islands
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Cuba
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Curacao
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Dominica
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Dominican Republic
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Grenada
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Guadeloupe
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Haiti
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Jamaica
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Martinique
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Montserrat
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Puerto Rico
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Saba
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Sint. Maartin
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St. Barthelemy
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St. Eustatius
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St. Kitts and Nevis
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St. Lucia
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St. Martin
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St. Vincent and the Grenadines
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Trinidad & Tobago
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Turks & Caicos
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U.S. Virgin Islands
- Central America
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Belize
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Costa Rica
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El Salvador
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Guatemala
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Honduras
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Nicaragua
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Panama
- South America
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Argentina
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Bolivia
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Brazil
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Chile
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Colombia
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Ecuador
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Peru
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Venezuela
Resources
Searching for Surprise Catastrophes: The Beirut Explosion
The history of catastrophe modeling over the past three decades, has been punctuated sporadically by catastrophes which have caused enormous economic losses, and have taken risk stakeholders, including insurers, by surprise. The Beirut explosion of August 4, 2020, is the latest such surprise catastrophe; compounded by another surprise on September 10 by a large fire that spread from a Beirut port warehouse storing cooking oil to a neighboring warehouse storing tires. Catastrophe risk analysts associ...
New Ways of Modeling Property-Liability Clash and Uncoveri...
Natural disasters and other large catastrophes can trigger huge economic losses potentially among multiple insurance lines. RMS, in collaboration with research partner Cambridge Centre for Risk Studies at University of Cambridge, have developed eight template scenarios that model liability clash triggered by natural or man-made catastrophic events. This research was primarily focused on property–liability clash modeling and was the continuation of the two-year Global Exposure Accumulation and Clash (GEAC) pro...
Maria: What Is the Impact on Industry in Puerto Rico?
Peter Datin, senior principal modeler, RMS Rajkiran Vojjala, vice president – Model Development, RMS Last week, Hurricane Maria churned across Puerto Rico with the strongest winds to hit the island in over 80 years. Puerto Rico is home to more than 50 percent of the world’s leading pharmaceutical and life science companies, which operate around 80 U.S. Food and Drug Administration (FDA) approved manufacturing plants on the island. Therefore, the impact of Maria on the industrial line of business not only i...
RMS Further Strengthens Asia Pacific Capabilities in Versi...
NEWARK, CA – 16 July, 2022 – RMS®, the leading global risk modeling and analytics firm, announced today the release of Version 18 (V18) the latest version of its leading catastrophe risk management software. Version 18 expands RMS clients’ global capabilities and brings to light new opportunities using the latest science, innovative methodologies and analytics to support profitable portfolio growth. Specifically, V18 provides the latest modeling insights to drive growth across the varied markets of the ...
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