Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Potato Market Intelligence
Frozen Fries Carbon Footprint
Frozen fries carbon footprint data estimates greenhouse-gas emissions for a defined fry product across stated lifecycle stages. MassGain normalizes cut, plant, recovery, energy, packaging, freight, and boundary assumptions so procurement can distinguish real supplier differences from methodology or product-mix effects.
Market Data
How to read this market
Frozen fries carbon footprint data estimates greenhouse-gas emissions for a defined fry product across stated lifecycle stages such as potato growing, storage, plant transport, processing, frying oil, freezing, packaging, cold storage, distribution, cooking, and waste. Product cut, coating, pack, plant, region, functional unit, and boundary must be explicit.
Use the data to compare suppliers and fry formats only after normalizing recovery, plant energy, package, freight, and lifecycle scope. Connect environmental results with raw-potato quality and delivered economics so footprint differences can be traced to real agricultural, processing, or logistics drivers.
Data Module
Frozen Fries Carbon Footprint
ObjectLifecycle GHG footprint for a defined fry product
StagesPotato, processing, oil, freezing, pack, cold chain
DimensionsCut, coating, plant, region, supplier
Functional unitPer comparable finished fry output
Commercial useSupplier and product comparison
WatchpointNormalize boundaries, recovery, and energy mix
Analysis
Why this matters
Fry footprints can diverge even when raw potato footprints are similar because plant recovery, frying energy, freezing, packaging, and cold-chain distance vary. A higher farm footprint can be offset by superior conversion and logistics.
The analytical focus should therefore be the finished unit under aligned boundaries. Methodology differences are often large enough to mimic performance differences, so normalization is essential before procurement acts.
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.
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.
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.
September 16, 2026Latest MassGain publication
Potato market steady for now; Russia’s smaller crop is the salient risk
Spot prices are flat and USDA terminal reports read ‘market steady,’ but a renewed forecast for a smaller Russian harvest and recent regional harvest stress leave seasonal import timing and storage losses as the key uncertainty.
Signal 02
MassGain Potato Index
Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
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.
Signal 03
MassGain Spot Reference
An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
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.
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 frozen-potato processors, restaurant procurement teams, distributors, food brands, and sustainability analysts that need to evaluate the carbon footprint of frozen fries. The footprint can include processing potatoes, field inputs, storage, transport to the plant, peeling and cutting, blanching, frying, freezing, packaging, cold storage, distribution, cooking, and waste depending on the stated boundary. MassGain helps users preserve the product specification, functional unit, plant, region, energy mix, allocation, and data period behind each result.
Frozen-fries footprints can differ materially because raw-potato yield, solids, recovery, frying oil, plant energy, refrigeration, package, freight, and customer channel vary. A lower farm footprint can be outweighed by poor recovery or a long cold-chain route, while efficient plants may offset higher raw-material emissions. MassGain connects lifecycle data with regional potato benchmarks, crop quality, capacity, plant performance, supplier pricing, and delivered cost. Procurement can compare suppliers and product formats consistently, processors can identify where operational improvements reduce both cost and impact, and commercial teams can support customer discussions with transparent boundaries. MassGain does not certify product footprints or prescribe lifecycle methods. It provides the potato-market and operational context needed to understand which differences are real, which arise from methodology, and which interventions are commercially practical.
Use Case
A QSR compares two fry suppliers using emissions per case. MassGain finds one supplier excludes restaurant cooking and uses unusually favorable co-product allocation, while the other includes a broader boundary. After normalizing plant energy, recovery, package, freight, and the functional unit, the apparent gap narrows and procurement focuses on verified plant and logistics improvements.
FAQs
What can a frozen fries carbon footprint include?
It can include farming, storage, processing, oil, freezing, packaging, cold-chain distribution, cooking, and waste under a defined boundary.
Why does raw-potato quality affect the footprint?
Solids, defects, storage, and recovery determine how many potatoes and how much processing are required per finished case.
How does MassGain compare fry footprints?
It aligns boundaries and functional units with plant, region, quality, recovery, energy, freight, packaging, and delivered economics.
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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.
Data provenance
MassGain uses public, licensed, contributed, and independently derived physical-market information. Source availability and publication schedules vary.
Timing and revisions
Figures may reflect the latest available observation rather than a same-day transaction. Source data and MassGain calculations may be corrected, restated, or revised.
Not transactional pricing
MassGain figures are informational reference values and do not constitute executable bids, offers, settlements, or guarantees that a transaction can occur at the displayed value.
No individualized advice
Content and data are provided for informational and analytical purposes and do not constitute financial, investment, legal, trading, or individualized procurement advice.
Independent publication
Certain observations may be derived from USDA reports. MassGain is independent and is not affiliated with or endorsed by the USDA.
Commercial use and licensing
Public display does not grant rights to reproduce, redistribute, republish, or incorporate MassGain indices or references into commercial products or contracts without authorization.