Potato Market Intelligence

Potato Crop Insurance Liability Data

Potato crop insurance liability data measures insured value at risk by crop, region, year, coverage level, or producer group. Overlaying liability with acreage, weather, quality, storage, and market exposure helps insurers and lenders identify where nominally dispersed policies share the same physical risk.

Market Data

How to read this market

Potato crop insurance liability data measures the insured value at risk under potato policies by crop, region, year, coverage level, or producer group. Liability is most useful when paired with the physical concentration and market conditions affecting the insured crop.

Use the data to map insured value against acreage, crop progress, weather, quality, storage, and market exposure. This helps identify where a portfolio’s nominally dispersed liability actually shares the same basin, water source, variety, or processor dependence.

Data Module

Insurance liability context

Insured valuetotal liability outstanding
Regiongeographic concentration
Crop yearproduction period covered
Coveragepolicy level or product
Physical overlayacreage, weather, and crop condition
Decision useconcentration, reinsurance, and monitoring
Analysis

Why this matters

Liability size alone does not define risk. A large book spread across independent regions can be more resilient than a smaller portfolio concentrated in one irrigation system or processor market.

The critical analytical step is identifying shared physical dependencies. Once insured value is mapped to those exposures, seasonal monitoring and severe-loss scenarios can be targeted where loss correlation is actually highest.

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.

Preview data
Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Illustrative value until the live UCUI endpoint is connected.

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.
See Today’s MPI ↓
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.

Signal 02

MassGain Potato Index

Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.

Preview data
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
Illustrative presentation until the live MPI endpoint is connected.

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.
See Today’s MSR ↓
Signal 03

MassGain Spot Reference

An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.

Illustrative only
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
Not a current market reference. This value is included only to preview the MSR presentation.

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.
Explore MassGain Access ↓
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 insurers, agricultural lenders, portfolio managers, and policy analysts that need to understand the amount of insured potato exposure outstanding. Potato crop insurance liability data represents the insured value at risk under applicable policies and can be analyzed by region, crop year, coverage level, product, and producer group.

MassGain helps place that liability beside the physical conditions that may influence loss probability and severity. Regional acreage, crop progress, weather, yield potential, quality, storage, market prices, and buyer concentration can show whether insured exposure is concentrated in areas facing unusual stress. The platform also helps distinguish total harvested tonnage from marketable or processing-compliant production, which can matter when quality-related losses are not perfectly reflected by broad yield measures.

This intelligence supports portfolio concentration reviews, reinsurance discussions, lender risk assessment, and seasonal monitoring. A large liability figure is not automatically dangerous if exposure is geographically diverse and well protected, while a smaller book may be vulnerable if it is concentrated in one basin, variety, or buyer channel. MassGain does not determine reserves or claim outcomes. It supplies independent market and crop context so users can interpret liability data more precisely, identify shared regional dependencies, and prioritize deeper review where insured value and physical risk overlap.

Use Case

An insurer’s potato liability appears diversified across several counties. MassGain’s regional mapping shows most of the insured value shares the same irrigation system and processor market. During a water-stress year, the risk team treats the book as one concentrated exposure, increases monitoring, and revises its severe-loss scenario.

FAQs

What is potato crop insurance liability?

It is the insured value exposed under potato policies for a defined crop, region, period, and coverage structure.

Why analyze liability geographically?

Policies in different counties may still share weather, water, storage, processor, or market dependencies.

How does MassGain add context?

It overlays liability with crop, price, quality, storage, and regional concentration signals.

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.