Potato Market Intelligence

Potato Crop Insurance Actuarial Data

Potato crop insurance actuarial data contains policy parameters such as approved yields, price references, coverage levels, premium rates, liability, subsidies, and loss history. Comparing those inputs with regional crop, contract, quality, and marketable-yield evidence helps lenders and insurers understand residual basis risk.

Market Data

How to read this market

Potato crop insurance actuarial data contains the formal parameters used to price and structure insurance, such as approved yields, price references, coverage levels, premium rates, liability, subsidy, loss history, and regional factors. These metrics describe the policy framework rather than the full commercial economics of a potato operation.

Use the data with regional crop, contract, quality, storage, and marketable-yield evidence to understand where actuarial assumptions align with the grower’s real exposure and where basis risk remains.

Data Module

Actuarial data context

Yieldapproved or policy reference
Priceelected or program benchmark
Coveragelevel and policy structure
Premiumrate, subsidy, and producer share
Loss historyregional experience
Decision useunderwriting and residual-risk review
Analysis

Why this matters

A formally correct actuarial reference can still diverge from a grower’s economic loss. Processing quality, contract terms, or localized yield problems may not track the policy’s geographic or price basis closely.

The analytical question is therefore not whether the policy data is accurate, but how much of the borrower’s real risk it captures. That gap is the residual exposure lenders and insurers need to understand.

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 crop insurers, agricultural lenders, actuaries, risk managers, and policy analysts that need structured actuarial information for potato insurance. Potato crop insurance actuarial data can include approved yields, projected or elected prices, coverage levels, premium rates, liability, subsidy, loss history, county or regional factors, and policy provisions.

MassGain adds physical-market context to those actuarial inputs. Insurance parameters may be formally correct yet still differ from the producer’s actual commercial exposure because potatoes vary by region, variety, end use, quality, contract structure, and delivery period. Comparing actuarial references with regional price history, crop performance, marketable yield, storage risk, and buyer requirements helps users understand where coverage aligns well and where basis risk remains.

The data supports underwriting, portfolio analysis, coverage review, premium studies, and lender assessment of residual risk. Users can compare participation, liability, and historical loss experience with current production and market conditions, while distinguishing insured yield from marketable or specification-compliant output. MassGain does not calculate official premiums, interpret policy language, or determine claims. It provides an independent potato-market framework that helps financial and insurance teams use actuarial data with clearer commercial context and avoid assuming that a policy metric fully captures the borrower’s economic exposure.

Use Case

An agricultural lender reviews a grower whose policy uses county yield and a broad price election. MassGain compares those actuarial values with the farm’s processing contracts, quality deductions, and regional marketable-yield history. The lender identifies meaningful quality basis risk and requires additional liquidity despite adequate nominal insurance coverage.

FAQs

What can potato crop insurance actuarial data include?

It can include yields, prices, rates, coverage levels, liability, subsidy, loss history, and regional policy factors.

Why compare actuarial data with physical markets?

Policy references may not fully match the producer’s variety, quality, buyer, region, or contract exposure.

Does MassGain calculate official insurance terms?

No. Official rates, premiums, and indemnities come from insurers and governing program documents.

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.