Potato Market Intelligence

Potato Starch Yield Per Ton

Potato starch yield per ton measures saleable starch recovered from each delivered ton after dry matter, extraction efficiency, quality, storage, and plant losses. MassGain links yield with regional potato prices, freight, and processing costs so starch buyers can compare cost per recoverable output.

Market Data

How to read this market

Potato starch yield per ton measures the saleable starch recovered from each delivered ton of potatoes after dry matter, starch concentration, extraction efficiency, quality, storage condition, and plant losses are considered. The market object is therefore raw-material conversion into starch, not merely potato tonnage.

Use the measure to compare suppliers and origins on cost per unit of recoverable starch. Combine laboratory starch or dry-matter data with delivered potato price, freight, extraction yield, energy, and plant capacity so low-priced but weak-starch potatoes are not treated as automatically cheaper.

Data Module

Potato Starch Yield per Ton

MeasureSaleable starch output per delivered ton
Key driversDry matter, starch content, variety, quality
Process factorsExtraction efficiency, drying, plant loss
Market dimensionsOrigin, supplier, crop period, storage
Commercial useCost per unit of saleable starch
WatchpointDo not compare raw potato price without yield
Analysis

Why this matters

Starch yield matters because a processor buys tonnes but earns on starch output. Lower-yield potatoes can consume extra intake capacity, water, energy, and drying for the same saleable volume.

Raw prices and starch economics can diverge sharply across regions or storage cohorts. The best commercial comparison is delivered cost per recoverable starch unit, with crop composition separated from extraction performance.

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 potato-starch manufacturers, raw-material buyers, plant controllers, and market analysts that need to understand potato starch yield per ton. The measure estimates how much saleable starch a processor obtains from each delivered ton of potatoes after accounting for dry matter, starch concentration, extraction efficiency, quality, storage condition, and factory losses. MassGain helps teams connect the physical yield with the regional potato market and the specific varieties and crop periods supplying the plant.

Yield per ton is a better economic measure than purchase price alone. A low-cost load can require more tonnes, energy, water, handling, and plant time to produce the same starch output. A higher-priced high-starch lot may generate a lower finished cost when extraction and drying economics are included. MassGain compares actual and expected yields across suppliers, regions, varieties, storage cohorts, and plants, then combines those results with delivered potato prices and availability. Procurement can normalize contracts by recoverable starch, operations can identify whether a shortfall comes from crop composition or extraction performance, and finance can build more accurate standard costs and margin bridges. The result is a decision-ready view of raw-material value based on the starch actually produced.

Use Case

A starch plant receives offers from two growing regions. One is cheaper per ton but has lower dry matter and a history of weaker extraction. MassGain combines the regional potato benchmark, freight, laboratory starch readings, extraction yield, and drying cost. The plant secures the higher-yield supply for peak production and keeps the cheaper origin as supplemental volume.

FAQs

What determines potato starch yield per ton?

Dry matter, starch concentration, variety, quality, storage, extraction efficiency, and process loss all matter.

Why is price per ton an incomplete comparison?

Two loads can have the same weight but produce very different quantities of saleable starch.

How does MassGain support starch sourcing?

It combines yield history and laboratory quality with regional prices, freight, storage, and supplier availability.

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.