Potato Market Intelligence

Potato Crop Insurance Loss Ratio

Potato crop insurance loss ratio analysis compares indemnities with earned premium while preserving geography, crop year, participation, and cause of loss. MassGain adds weather, yield, quality, and price context so users can separate one-off catastrophe from recurring underwriting pressure.

Market Data

How to read this market

Potato crop-insurance-loss-ratio data compares indemnities or losses with earned premium for the same program, geography, crop year, and exposure base. The market object is underwriting experience normalized for acreage, liability, participation, cause of loss, and policy changes.

Use the data to distinguish one catastrophic season from recurring regional risk and compare loss experience with weather, yield, quality, prices, and changing insurance participation.

Data Module

Potato Crop Insurance Loss Ratio

Market objectinsurance loss experience
Primary measureindemnities relative to premium
Key dimensionscounty, crop year, cause, coverage
Commercial useregional risk benchmarking
Risk contextweather, yield, participation
Compare withliability and historical crop performance
Analysis

Why this matters

A high loss ratio may reflect one extreme event, higher participation, or a change in insured value rather than structural deterioration in the region. The same headline ratio can have very different meanings across crop years.

Commercial interpretation should normalize for exposure and pair the ratio with cause-of-loss and physical crop evidence before drawing conclusions about persistent production 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?

Commodity-finance and risk teams, insurers, lenders, growers, and policy analysts use the potato crop-insurance loss ratio to compare indemnities with earned premium under a defined program, geography, crop year, or period. The ratio can reveal unusually severe losses or persistent underwriting pressure, but it must be interpreted with weather, acreage, coverage participation, price elections, policy changes, and development over time.

MassGain organizes premium, indemnity, policy count, insured acreage, cause of loss, county, practice, and year and connects them with potato yield, crop quality, prices, and major weather events. Risk teams can distinguish one catastrophic season from a structural pattern. Lenders can understand regional insurance stress. Growers and processors can identify production areas with repeated volatility. Analysts can compare gross and net perspectives only when definitions support the comparison.

MassGain does not make actuarial determinations, forecast insurer profitability, or provide insurance advice. It provides a transparent historical and physical-market framework that documents source, maturity, revisions, and exposure changes. Users can evaluate whether a high ratio reflects one event, growing participation, changing coverage, or recurring potato-production risk rather than relying on a headline number alone.

Use Case

A lender sees a county’s potato insurance loss ratio exceed 2.0 and considers the region structurally weak. MassGain shows one flood year caused most indemnities, while irrigated production and subsequent yields remained stable. The lender retains the region but stresses flood-prone units separately.

FAQs

How is a potato crop-insurance loss ratio calculated?

Divide defined indemnities or losses by earned premium for the same program, geography, and period.

Why can one year be misleading?

A single drought, flood, hail event, price move, or policy change can dominate the ratio.

How does MassGain interpret the ratio?

It adds acreage, participation, causes of loss, yield, weather, prices, policy changes, and development history.

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.