Potato Market Intelligence

Potato Crop Insurance Indemnity History

Potato crop insurance indemnity history organizes past payments by crop year, geography, cause of loss, insured acreage, and liability. MassGain normalizes those payments against exposure and links them with weather, yield, quality, and supply outcomes so lenders and processors can distinguish recurring risk from one exceptional season.

Market Data

How to read this market

Potato crop-insurance-indemnity-history data records historical payments by geography, crop year, cause of loss, insured acreage, liability, unit structure, and coverage level. The market object is the normalized payment history rather than the raw dollar total alone.

Use the data to distinguish one catastrophic event from repeated regional stress and compare payment frequency and severity with weather, yield, quality, prices, and physical supply outcomes.

Data Module

Potato Crop Insurance Indemnity History

Market objecthistorical insurance payment record
Primary measurespayment frequency and severity
Key dimensionscounty, crop year, cause, exposure
Commercial useregional resilience analysis
Risk contextacreage, liability, coverage
Compare withweather, yield, quality, supply
Analysis

Why this matters

Indemnity totals can rise because insured acreage or commodity values increase, not because underlying production risk worsens. Normalization is therefore essential before interpreting a trend.

Commercial interpretation should connect repeated payments with the physical causes and supply consequences to determine whether a region has persistent or merely episodic 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.
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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, insurers, lenders, growers, and analysts that need a reliable potato crop-insurance indemnity history. Historical indemnities can reveal how often and why insured losses have occurred, but raw payment totals must be interpreted alongside acreage, liability, coverage participation, crop prices, policy changes, and regional production conditions.

MassGain organizes indemnity amount, policy year, county, cause of loss, insured acreage, liability, unit structure, coverage level, and development status. Risk teams can compare payment frequency and severity across regions. Lenders can distinguish a one-time catastrophic event from repeated operating stress. Growers can understand how their loss experience differs from area patterns. Processor procurement teams can identify sourcing basins where insurance payments have repeatedly coincided with physical shortfalls or quality problems.

Indemnity history is not a forecast of future payments and does not measure farm profitability. Large values may reflect greater insured acreage or higher commodity values rather than worsening risk. MassGain does not provide insurance advice or actuarial conclusions. It provides a normalized historical framework that connects payments with weather, yield, prices, crop quality, and market supply so users can evaluate resilience without relying on headline totals.

Use Case

A lender sees indemnities in one potato county triple over five years. MassGain normalizes payments by insured liability and shows two hail years drive most of the increase, while ordinary-year performance remains stable. The lender keeps the region in its portfolio but applies a targeted hail and liquidity stress to exposed borrowers.

FAQs

What does indemnity history show?

It shows past crop-insurance payments by year, geography, cause, policy, and insured exposure.

Why should payments be normalized?

Acreage, prices, liability, participation, and coverage levels can change the total independently of risk.

How does MassGain add context?

It links indemnities with weather, yield, quality, acreage, prices, contracts, and regional supply.

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.