Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Potato Market Intelligence
Potato Crop Insurance Cause of Loss
Potato crop insurance cause of loss data organizes reported loss drivers by geography, crop year, acreage, liability, and indemnity. MassGain connects causes such as drought, excess moisture, hail, frost, disease, and quality problems with crop and market evidence so risk teams can distinguish isolated events from recurring regional exposure.
Market Data
How to read this market
Potato crop-insurance cause-of-loss data classifies the reported peril or event associated with an insured potato loss, such as drought, excess moisture, freeze, heat, hail, disease, or other covered causes. The market object is the claim-linked production event tied to insured unit, geography, policy year, crop stage, acreage, and physical outcome.
Use the data to compare recurring hazards across counties and production systems and to test whether reported causes align with yield, quality, harvest timing, storage, and processor supply disruptions. Treat the cause code as a classification of the claim record rather than a complete explanation of every agronomic or commercial driver.
Data Module
Potato Crop Insurance Cause of Loss
Market objectclaim-linked production event
Primary measurereported cause or peril
Key dimensionscounty, unit, crop stage, policy year
Commercial usehazard and supply-risk analysis
Evidence contextweather, yield, quality, harvest
Compare withphysical loss and processor exposure
Analysis
Why this matters
Cause-of-loss data matters because the same indemnity total can reflect very different physical risks. Excess moisture around planting may delay acreage and maturity, while a late freeze or disease event can reduce yield or marketable quality more directly.
Commercial interpretation should distinguish the administrative cause code from the full chain of loss. Multiple conditions can interact, and a region-wide insurance signal only becomes a procurement signal when it affects the varieties, quality classes, and delivery windows a buyer actually depends on.
Signal 01
Usable Crop Uncertainty Index
UCUI translates crop and market complexity into a simple uncertainty signal. Higher readings indicate greater uncertainty—not necessarily higher prices.
Understand uncertainty. Anticipate risk. Act earlier.
UCUI is designed to analyze potato-industry publications and data signals across regions, varieties, weather, disease, storage, supply, and demand.
WeatherHigh
DiseaseHigh
StorageMedium
SupplyMedium
Single-day snapshot based on a scan of 11,500+ web and social signals. Get historical and real-time data by clicking the button below.
The MassGain Daily
Today’s market analysis.
A daily editorial synthesis of physical potato data, crop signals, market reporting, and what participants should watch next.
September 16, 2026Latest MassGain publication
Potato market steady for now; Russia’s smaller crop is the salient risk
Spot prices are flat and USDA terminal reports read ‘market steady,’ but a renewed forecast for a smaller Russian harvest and recent regional harvest stress leave seasonal import timing and storage losses as the key uncertainty.
Signal 02
MassGain Potato Index
Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
Price discovery for the physical potato market
MPI is designed to track physical pricing data, price trends, deltas, and divergences across regions and potato types.
Series window45 days
Current public coverageCore russet cartons
Primary source basisQualifying USDA physical rows
UnitUSD per metric tonne
Single-day snapshot based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varieties by clicking the button below.
Signal 03
MassGain Spot Reference
An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
A trusted benchmark for pricing, contracts, and risk
MSR is intended to use real transactions and verifiable physical-market data to support negotiations, price checks, contracting, and risk models.
ProductRusset Burbank
SpecificationU.S. midsize, 40–70 count
Reference typePhysical spot benchmark
StatusIn development
Based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varities by clicking the button below. Full access also includes historical data -- including depreciated NYMEX/CBOE/EEX spot references -- projections, trends, and AI-driven insights.
The MassGain Product Ladder
From insight to intelligence to action
Four integrated products built for the physical potato market, delivered through public pages, reports, exports, dashboards, and API access.
1
Content
Original research, commentary, aggregated news, and market updates.
- What matters right now?
- What is happening out there?
2
UCUI™
Usable Crop Uncertainty Index: an AI-powered signal of crop risk and market uncertainty.
- Understand uncertainty
- Anticipate risk
- Act earlier
3
MPI™
MassGain Potato Index: independent physical-pricing intelligence and trend analysis.
- Price discovery
- Regional trends
- Procurement planning
4
MSR™
MassGain Spot Reference: an independent benchmark for price discovery and risk modeling.
- Contracts
- Negotiations
- Risk models
Content + UCUI + MPI + MSR + API access
Get historical series, regional detail, constituent data, exports, alerts, and direct data access.
Overview
Who is this for?
This page is for commodity-finance and risk teams, growers, insurers, lenders, and processor sourcing groups that need to analyze potato crop-insurance causes of loss. Cause-of-loss data identifies the reported events behind insured claims—such as drought, excess moisture, hail, freeze, disease, heat, wind, or other covered conditions—but the commercial consequence depends on timing, geography, crop stage, quality, and production system.
MassGain organizes causes by county, policy year, insured acreage, indemnity, unit, practice, and crop type and connects them with weather observations, yield, crop progress, storage condition, and processor supply. Risk teams can identify recurring hazards and event concentration. Lenders can distinguish structural exposure from an isolated disaster. Growers can compare field and area patterns. Procurement can see whether repeated insurance losses align with shortages in the exact varieties and delivery periods a plant depends on.
Reported cause codes may simplify complex events and can change as claims develop. MassGain does not determine claim validity or provide insurance advice. It supplies a transparent historical and physical-market framework that helps users test whether a cause is persistent, correlated with meaningful supply disruption, and relevant to current contracts, acreage, and contingency plans.
Use Case
A processor believes drought is the dominant risk in a key sourcing basin. MassGain shows most recent indemnities actually came from excess moisture during planting and harvest, creating timing and quality problems rather than broad yield collapse. Procurement shifts contingency planning toward alternate planting windows and harvest capacity.
FAQs
What does cause-of-loss data identify?
It identifies the reported insured event associated with a claim under the applicable program.
Can one claim have multiple drivers?
Yes. Weather, disease, timing, and quality can interact even when one primary code is reported.
How does MassGain use the data?
It connects causes with geography, timing, acreage, yield, quality, contracts, and physical supply outcomes.
Put this market intelligence to work
Get historical data, regional detail, benchmarks, alerts, exports, and API access tailored to your procurement
and market-analysis needs.
Data and Methodology
Professional market-data standards
MassGain is building transparent public market infrastructure. Each live metric will identify its date, unit, coverage, methodology, and source basis.
Data provenance
MassGain uses public, licensed, contributed, and independently derived physical-market information. Source availability and publication schedules vary.
Timing and revisions
Figures may reflect the latest available observation rather than a same-day transaction. Source data and MassGain calculations may be corrected, restated, or revised.
Not transactional pricing
MassGain figures are informational reference values and do not constitute executable bids, offers, settlements, or guarantees that a transaction can occur at the displayed value.
No individualized advice
Content and data are provided for informational and analytical purposes and do not constitute financial, investment, legal, trading, or individualized procurement advice.
Independent publication
Certain observations may be derived from USDA reports. MassGain is independent and is not affiliated with or endorsed by the USDA.
Commercial use and licensing
Public display does not grant rights to reproduce, redistribute, republish, or incorporate MassGain indices or references into commercial products or contracts without authorization.