Workflow FoundationsChapter 3820 min read

SOV & COPE, the location-by-location data layer that property underwriting actually runs on.

Schedules of values and COPE data are the structured record of what an insured owns, where it sits, and what risk profile each location carries. SOVs power property underwriting at the location level. COPE is the four-axis framework (construction, occupancy, protection, exposure) that turns location addresses into priceable risks. Both are required for any meaningful commercial property analysis, and both are routinely incomplete on submission.

§ 01

The mental model

A schedule of values is a list of locations and their insured values. COPE is the standardized risk framework applied at each location. Together they are how property underwriters move from "this client owns 47 buildings worth $830M" to "we should price this risk at X cents per $100 of TIV with these specific concerns about Locations 12, 23, and 41."

For straightforward single-location risks, the SOV is trivial and COPE is a quick assessment. For portfolio risks (REITs, retail chains, manufacturers, hospitality groups, school districts, hospitals) the SOV is the primary input to underwriting and the COPE data may run to thousands of pages. Catastrophe modeling, accumulation analysis, reinsurance placement, and pricing all depend on accurate location-level data. The brokers know this, the carriers know this, and the data quality is still routinely poor. Missing addresses, generic occupancy descriptions, defaulted construction codes, no protection details. The SOV is one of the largest and most consequential data quality problems in commercial insurance, and it is a natural target for IDP.

Anchor concept

Property underwriting is location-by-location pricing aggregated to a portfolio result. The aggregation only works if each location is correctly characterized. Errors at the location level compound: bad COPE data leads to bad pricing leads to bad portfolio loss ratios.

§ 02

Anatomy of a SOV

A standard SOV row contains the location identification, the values, and the COPE attributes. The columns vary by source but a minimum-viable SOV typically includes:

Location number
Internal sequence identifier. Used to reference the location in policy documents and claims.
Building number
For multi-building locations (campuses, complexes), each building gets its own row.
Address
Street, city, state, ZIP, country. Geocodable to lat-long for catastrophe modeling.
Building description
Brief narrative of what the building is and what is done in it.
Year built
Material for code compliance, depreciation, and earthquake/wind exposure analysis.
Square footage
Building size; relevant to value adequacy checks and to certain rating bases.
Number of stories
Material to wind and earthquake exposure modeling.
Building value
The replacement cost or actual cash value of the building structure.
Contents value
Personal property, inventory, equipment, fixtures.
BI value
Business interruption value, often expressed as 12-month gross earnings or annual revenue.
Total Insured Value (TIV)
Sum of building, contents, and BI values. The headline number for the location.
Construction class
ISO construction class (frame, joisted masonry, non-combustible, masonry non-combustible, modified fire-resistive, fire-resistive).
Occupancy
What is done in the building. Drives ignition source and combustible load analysis.
Protection
Sprinkler coverage, fire alarm, security, and ISO Public Protection Class.
§ 03

TIV and value categories

Total Insured Value is the headline aggregation, but it is composed of distinct value categories with different underwriting implications.

Building value

The replacement cost (or actual cash value, depending on coverage form) of the building structure itself: foundation, walls, roof, framing, building systems, permanent fixtures. Building values can be benchmarked against industry cost-per-square-foot data; values that fall significantly outside benchmarks may indicate underinsurance.

Contents value

Personal property inside the building: inventory, equipment, fixtures, furniture, supplies. Contents values vary enormously by occupancy. A warehouse with stacked retail inventory carries higher contents value per square foot than an office building. Contents are often subject to coinsurance provisions that penalize underinsurance.

Business interruption value

The lost income and continuing expense the insured would suffer if the location were disabled by a covered loss. Typically expressed as annual gross earnings or annual revenue, often with a 12-month indemnity period. BI values are routinely the most under-developed component of the SOV, with broad estimates rather than detailed forecasts.

Improvements and betterments

For tenant insureds, improvements made to the leased space at the tenant's cost. Often listed as a separate value line on the SOV. May or may not be insured by the tenant depending on lease structure.

Equipment Breakdown / Boiler & Machinery

Specialized equipment values, often listed separately. Drives equipment breakdown rating and exposure analysis.

Outdoor property and miscellaneous

Outdoor signs, fences, landscaping, parking lot improvements. Frequently aggregated as a single line on the SOV.

The TIV / value adequacy question

Underinsurance is a recurring problem. SOV values are often derived from accounting records that reflect historical cost rather than current replacement cost. Inflation, particularly the recent surge in construction costs, has created widespread underinsurance issues. Underwriters routinely benchmark SOV values against per-square-foot reconstruction costs and flag locations that appear underinsured.

§ 04

COPE: the four pillars

COPE is the standardized risk framework for evaluating a property location. The four pillars are construction, occupancy, protection, and exposure. Each is assessed independently and combined into an overall location risk profile.

Why COPE

Two locations with the same TIV and the same occupancy can have very different loss potential depending on how the building is constructed, how well-protected it is, and what surrounds it. COPE captures the structural attributes that determine loss frequency and severity at the location level.

The COPE assessment

For straightforward locations, COPE is captured on the SOV row itself. For complex or high-value locations, a separate engineering report (loss control survey) provides a more detailed assessment, often with specific recommendations for risk improvement.

The role of engineering

Insurance engineering or loss control engineers visit high-TIV locations, evaluate the COPE attributes, identify hazards, and recommend mitigations. The engineering report is a cornerstone underwriting input for major property risks. Reports include construction details, occupancy descriptions, protection systems, exposure analysis, and prioritized recommendations.

§ 05

Construction

The first pillar. Construction class determines how the building responds to fire, wind, earthquake, and flood.

The ISO construction classes

  • Class 1: Frame. Wood frame construction. Highest fire vulnerability. Common in light commercial and residential.
  • Class 2: Joisted masonry. Masonry exterior walls with wood floor and roof joists. Moderate fire vulnerability.
  • Class 3: Non-combustible. Steel frame with non-combustible roof and floors. Lower fire vulnerability than masonry.
  • Class 4: Masonry non-combustible. Masonry exterior with non-combustible interior structure.
  • Class 5: Modified fire-resistive. Concrete or protected steel structure designed to resist fire for at least 1 hour.
  • Class 6: Fire-resistive. Concrete or fully protected steel designed to resist fire for 2+ hours. Typical of high-rise commercial and institutional.

Construction details that matter

  • Roof system. Roof age, roof material, deck construction. Wind resistance and hail susceptibility.
  • Wall systems. Exterior wall construction, fire resistance ratings, openings.
  • Floor and ceiling assemblies. Fire resistance ratings, combustibility.
  • Interior partitions and finishes. Fire spread potential.
  • Year built and renovation history. Building code compliance levels.

Catastrophe-relevant construction

  • Wind. Roof system, wall-to-roof connection, building envelope, hurricane shutters, windborne debris protection.
  • Earthquake. Lateral force resisting system, foundation type, soil class, retrofit history.
  • Flood. First-floor elevation, lowest occupied floor, flood-protection measures.
§ 06

Occupancy

The second pillar. Occupancy is what is done in the building, and it drives both ignition source analysis and combustible load.

The occupancy spectrum

  • Office. Low ignition source, moderate combustible load (paper, electronics).
  • Retail. Variable. Big-box with stacked inventory has high combustible load. Restaurants have ignition sources.
  • Light manufacturing. Moderate ignition sources, variable combustible load by product.
  • Heavy manufacturing. High ignition sources (welding, hot work, process heat). High combustible load (raw materials, finished goods).
  • Warehouse. Combustible load is the dominant variable; storage height and rack configuration drive sprinkler design.
  • Hospitality. Restaurant and laundry ignition sources, contents value driven by furniture and equipment.
  • Healthcare. Specialized occupancy with high contents values and complex protection requirements.
  • Industrial / process. Petrochemical, food processing, pulp and paper. Each has line-specific exposure profiles.

Multi-occupancy buildings

A single building may contain multiple occupancies (mixed-use, multi-tenant). The COPE assessment becomes more complex; the controlling occupancy for fire protection purposes is typically the highest-hazard tenant.

Occupancy and ISO class codes

The ISO occupancy classification system assigns a numeric code to specific occupancy types, with associated rating differentials. Submissions list ISO codes for filing-rated lines but the underwriter often verifies and re-classifies based on the actual operations.

§ 07

Protection and exposure

The third and fourth pillars complete the COPE framework.

Protection

The active and passive systems that detect, alert, and suppress loss events.

  • Sprinkler coverage. Type (wet, dry, deluge, foam-water), coverage area (full, partial, none), design standards (NFPA 13), inspection and maintenance.
  • Fire detection and alarm. Smoke detection, heat detection, central station monitoring, response protocols.
  • Special hazard protection. Clean agent suppression for data centers, foam systems for flammable liquids, kitchen suppression for restaurants.
  • Security systems. Burglar alarm, central station monitoring, access control, surveillance.
  • Public Protection Class. ISO PPC, a 1-10 rating (lower is better) of public fire department response capability for the location.

Exposure

What surrounds the location. Adjacent risks can transfer to the insured property.

  • Adjacent occupancies. What's next door? A petrochemical plant, a wood mill, a residential neighborhood.
  • Distance to hazards. Wildfire-vulnerable wildland, coastal storm exposure, seismic fault distance.
  • Catastrophe zone. Specific hurricane wind zones, flood zones, earthquake faults, wildfire urban-interface zones.
  • External fire exposure. Adjacent buildings, distance, exposure protection systems.
  • Special hazards. Nearby chemical operations, transportation infrastructure, industrial corridors.

Catastrophe modeling and COPE

Catastrophe models (RMS, Verisk AIR, Karen Clark) consume COPE data to generate location-level loss distributions for hurricane, earthquake, flood, wildfire, and severe convective storm. The model output drives reinsurance pricing, accumulation analysis, and primary pricing for catastrophe-exposed risks. Garbage-in-garbage-out applies; bad COPE data means bad model output.

§ 08

From SOV to portfolio view

The SOV is location-by-location data. Underwriting decisions happen at the portfolio level.

Aggregation

  • By geography. Location count and TIV by state, by metro area, by ZIP code. Reveals geographic concentration.
  • By construction. TIV distribution across construction classes. Reveals fire and catastrophe vulnerability.
  • By occupancy. TIV distribution across occupancy types. Reveals operational risk profile.
  • By catastrophe zone. TIV in hurricane wind zones, earthquake zones, flood zones, wildfire urban-interface. Reveals catastrophe accumulation.

Top locations

Most portfolios are concentrated. The top 20 locations may represent 50-70% of TIV. Underwriting attention focuses heavily on those top locations: detailed engineering, specific COPE verification, accumulation analysis, sometimes site visits.

Submission completeness

SOVs arrive with varying levels of completeness. Common gaps:

  • Construction class missing or defaulted to "unknown."
  • Sprinkler status missing or generic "Yes."
  • Year built missing for older properties.
  • Occupancy as "office/warehouse" rather than specific type.
  • BI values estimated rather than calculated.
  • Building values clearly out of date relative to construction cost benchmarks.

Underwriters request data improvements before binding for material gaps, accept generic data with risk loads for non-material gaps, and flag persistent SOV quality issues as renewal-cycle improvement targets.

§ 09

Where IDP earns its keep

SOVs are spreadsheets. Hundreds of rows, thousands of rows for large portfolios. The data is structured but the formats are inconsistent across brokers and across insureds. Column headers vary, value categories are aggregated differently, COPE fields are coded differently. Normalization at scale is one of the most repetitive operational tasks in commercial property underwriting.

1
Intake
SOVs arrive as Excel spreadsheets, sometimes as PDFs, occasionally as images of printed schedules.
2
Classify
Identify SOV format (broker template vs insured-specific), columns present, COPE detail level.
3
Extract
Per location: address, values, construction class, occupancy, protection, year built, exposure attributes.
4
Validate
Geocode addresses, benchmark values against per-square-foot reconstruction costs, flag missing COPE.
5
Triage
Generate portfolio aggregations: top locations, geographic concentration, catastrophe zone TIV, COPE gaps.
6
Underwriter
Pre-built location and portfolio profile feeding catastrophe modeling and pricing analysis.
Indico use cases for SOV / COPE

The headline use case is SOV normalization across formats. Brokers and insureds produce SOVs with different column orderings, different value category breakdowns, and different COPE coding conventions. An extraction agent that reads SOVs across formats and produces a canonical schema (one row per location, standardized fields, geocoded addresses, normalized COPE codes) compresses the property submission processing cycle. Beyond per-row extraction: portfolio aggregation, catastrophe zone identification, value benchmarking against construction cost data, COPE completeness scoring, prior-period SOV comparison for change detection.

Chapter 38 · Workflow Foundations · 20 min read

SOV & COPE — Cheat Sheet

Schedules of values and COPE data are the structured record of what an insured owns, where it sits, and what risk profile each location carries. SOVs power property underwriting at the location level. COPE is the four-axis framework (construction, occupancy, protection, exposure) that turns location addresses into priceable risks. Both are required for any meaningful commercial property analysis, and both are routinely incomplete on submission.

The mental model: Property underwriting is location-by-location pricing aggregated to a portfolio result. The aggregation only works if each location is correctly characterized. Errors at the location level compound: bad COPE data leads to bad pricing leads to bad portfolio loss ratios.

Key terms

SOV · Schedule of Values
TIV · Total Insured Value
COPE · Construction, Occupancy, Protection, Exposure
PPC · ISO Public Protection Class
ISO 1-6 · Construction class scale
BI value · Business Interruption value
Cat zone · Catastrophe peril geographic zone

If you remember three things

Schedules of values and COPE data are the location-level structured input that property underwriting actually runs on, with portfolio aggregations driving acceptance and pricing. The four COPE pillars (construction, occupancy, protection, exposure) define the location risk profile, and accurate COPE is what makes catastrophe modeling and accumulation analysis useful. SOV format normalization across brokers and across insureds is one of the highest-volume IDP applications in commercial property.