Potato Market Intelligence

Potato Insurance Indemnity Data

Potato insurance indemnity data records paid losses and related fields such as liability, premium, cause, coverage, geography, and crop year. MassGain adds production, yield, weather, quality, and price context so analysts can interpret what drove payments without treating indemnities as total economic loss.

Market Data

How to read this market

Potato Insurance Indemnity Data records paid losses and related insurance fields such as liability, premium, cause of loss, coverage, geography, and crop year. The useful object is the indemnity within its policy and regional context, not the payout alone.

Use the data with acreage, yield, weather, quality, and prices to understand why payments occurred and whether similar exposure exists in a current portfolio. Participation, deductibles, policy design, claim timing, and uninsured basis mean indemnities should not be treated as a complete measure of economic loss.

Data Module

Potato Indemnity Data Monitor

Geographyinsured region
Crop yearproduction period
Lossindemnity and cause
Coveragepolicy structure and liability
Contextyield, weather, quality, prices
Decision usehistorical risk analysis
Analysis

Why this matters

Indemnity history can identify recurring regional hazards, but a large payout series may reflect coverage design or participation as much as underlying loss frequency. The commercial interpretation should distinguish insured loss from total farm loss and avoid assuming past claims mechanically predict future risk.

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 agricultural lenders, insurers, growers, processors, and risk analysts that need potato insurance indemnity data for portfolio, policy, or historical loss analysis. Indemnity data can show paid losses, insured liability, premium, cause of loss, coverage level, unit structure, region, and crop year. MassGain adds potato production, price, weather, quality, and market context so users can understand what drove the payments and whether similar exposure exists today.

Indemnities should not be interpreted as a complete record of economic loss. Coverage participation, policy design, basis, quality provisions, reporting, and claim timing affect what appears in the dataset. MassGain helps users compare indemnity patterns with acreage, yield, crop stress, prices, storage, and market-channel exposure. Lenders can identify regions with recurring insured loss, growers can review how coverage performed, and insurers or analysts can distinguish one exceptional event from a persistent structural risk. The data can also inform stress scenarios without assuming past payouts predict future claims. The result is a more useful loss-history view that connects insurance outcomes with the physical potato conditions and policy limitations behind them.

Use Case

A bank reviews five years of potato indemnity data and sees repeated payments in one irrigated basin. MassGain shows the losses are concentrated in heat and water-stress years and that several borrowers share the same exposure. The bank adjusts monitoring and diversification while still evaluating each farm’s contracts, insurance, and resilience individually.

FAQs

What can potato indemnity data include?

It can include paid loss, liability, premium, cause, coverage, geography, policy structure, and crop year.

Do indemnity payments equal total economic loss?

No. Deductibles, uncovered quality or basis, participation, timing, and policy limits can create differences.

How does MassGain add context to indemnities?

It compares payments with acreage, yield, weather, quality, prices, storage, and regional production patterns.

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.