Potato Market Intelligence

Potato Trading Volume by District

Potato trading volume by district measures reported completed physical transactions in a defined area and period. Use it to identify where open-market participation is concentrated and whether price movements have enough transaction depth to support procurement or benchmark decisions.

Market Data

How to read this market

Potato trading-volume-by-district data measures reported completed physical transactions within a defined district and period, separated where possible from offers, shipments, contracted movements, and duplicate reports. The market object is observed transaction volume by district, product, variety, grade, delivery basis, and date.

Use the data to assess benchmark depth, identify where open-market participation is concentrated, and compare price movements with the amount of supporting trade. Record reporting coverage so missing bilateral transactions are not treated as zero activity.

Data Module

Potato Trading Volume by District

Market objectreported district transactions
Primary measurecompleted trade volume
Key dimensionsdistrict, product, grade, period
Commercial usebenchmark depth and market selection
Reporting noteincomplete coverage may remain
Compare withprices, production, shipments, nearby districts
Analysis

Why this matters

District prices become less representative when reported trade thins. A single urgent or unusual transaction can move an average more than it would in a deeper market.

Commercial interpretation should watch migration of volume across neighboring districts and retain reporting limitations. A district benchmark losing participation may need a broader reference or stronger minimum-volume governance.

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 procurement and market-intelligence teams that need potato trading volume by district to understand where physical market participation is concentrated. District-level volume helps reveal which producing or consuming areas are setting current price signals, where liquidity is improving, and where a quoted market may rest on only a small number of trades. MassGain turns scattered district observations into a comparable regional view.

The suite organizes reported transactions by district, product, variety, grade, unit, crop period, delivery basis, and date. It separates completed trades from offers, shipments, contracted movements, and duplicated reports wherever the source allows. Users can compare trading volume with regional production, available supply, benchmark prices, weather, storage conditions, and destination demand. Procurement can judge whether a district benchmark is deep enough to support a negotiation. Analysts can detect migration of trade from one origin to another and identify thin districts where a single transaction could distort an average.

This supports benchmark governance, market selection, sourcing reviews, and short-term price analysis. MassGain does not treat unreported bilateral transactions as zero activity and does not claim complete market coverage where reporting is voluntary. It provides transparent source, coverage, and timing context so teams can use district trading volume as a measure of market depth rather than as a false census of all commerce.

Use Case

A processor uses a district price series in a contract escalator, but recent prices become volatile. MassGain shows reported trading volume in that district has fallen sharply while neighboring districts carry most open-market business. Procurement adds a wider regional reference and minimum-volume rule, reducing the influence of isolated trades.

FAQs

What counts as district trading volume?

It is the reported quantity of completed physical transactions within a defined district and period.

Why separate trades from shipments?

Shipments may fulfill earlier contracts, while trading volume reflects current transaction activity.

How does MassGain handle incomplete reporting?

It records source coverage, avoids treating missing reports as zero, and compares volume with other market indicators.

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.