US Food Price Monitor
Daily US food prices and USDA data tracker
The US Food Price Monitor provides daily food prices from the USDA, covering everything from the farm gate to supermarket ads. Updated every business day, the platform tracks wholesale and shipping point quotes, price changes against the previous year, and regional grocery ad prices to help users analyze food market trends.
Key Features
Daily USDA wholesale benchmarks
Shipping-point and terminal-market quotes with specific units, e.g., Idaho Falls onions at $15.00-$16.00 per 50 lb sack, New York wholesale tomatoes at $15.00-$18.00 per 5 kg/11 lb flat, New York wholesale eggs at $0.82 per dozen.
Year-over-year change
Every benchmark shows its move against a year earlier, such as Idaho Falls onions +121%, potatoes +95%, and eggs -62% over the past year.
Price charts
Historical price charts spanning roughly the past year (Sep 2025 to Sep 2026) for each commodity and market.
Weekly movers table
A 'Biggest moves this week' comparison of wholesale benchmarks against the prior week, e.g., cucumbers +80% ($5.00 to $8.00-$10.00) and Kentucky Wonder beans -32%.
Retail advertised prices
What US supermarkets advertised in a given week, averaged across stores by item and region, with 1-year change and store counts: Hass avocados $0.94 (-15%, 3,893 stores), russet potatoes $3.18 (+20%, 3,807 stores).
Market news feed
Latest USDA shipping-point reports and Markon updates with dates, such as the Columbia Basin Washington/Umatilla Basin Oregon onion and potato reports from 21 Sep.
Open dataset
Described as free and open, refreshed daily, with a GitHub repository linked; part of Kadoa's open datasets family alongside the Layoffs Tracker, Congress Trades, and Mining Monitor.
How It Works
- 1
Data pipeline and delivery
Kadoa aggregates USDA wholesale and shipping-point quotes, plus supermarket advertised prices across thousands of stores, into a daily-updated monitor with benchmarks, charts, weekly movers, and market news. The dataset is free and open with a GitHub repo; the Kadoa platform can be used for further
Pros & Cons
Pros
- Free and open, refreshed daily
- Combines USDA wholesale/shipping-point benchmarks and supermarket advertised prices in one place
- Concrete per-unit quotes rather than abstract indices (e.g., $15.00-$16.00 per 50 lb sack of onions)
- Tracks both week-over-week movers and year-over-year change, with roughly a year of chart history
- Retail averages are backed by large store samples (e.g., 3,893 stores for avocados, 3,807 for russet potatoes)
- Curated market news feed from USDA and Markon alongside the price data
Cons
- Updates are daily; real-time monitoring is only available via Kadoa's Enterprise plan
- US-only coverage
- Retail figures are advertised prices averaged across stores, which may not match actual shelf or checkout prices
- Wholesale benchmarks are market-specific (Idaho Falls, New York, Fresno, Philadelphia), so no single national average price is presented
- Enterprise-grade delivery (Snowflake/S3/MCP integrations, SSO, SLA) requires a custom Enterprise engagement; platform rates are consumption-based without published prices
Who It's For
Best for
- Grocery buyers, category managers, and foodservice procurement teams tracking produce and egg costs
- Analysts and funds monitoring US food inflation and weekly commodity swings
- Developers and data teams wanting a free, daily-refreshed USDA-derived dataset to build on
Not ideal for
- Intraday or real-time trading price feeds
- Markets outside the United States
- Teams that need enterprise integration and SLAs without engaging Kadoa's sales process
Use Cases
- Researchers tracking US food price inflation and trends
- Market analysts monitoring wholesale and shipping point quotes
- Consumers checking regional supermarket ad prices
Pricing
The US Food Prices dataset itself is free and open, refreshed daily. Kadoa's broader platform (monitors, pipelines, integrations) uses a consumption-based model: Starter starts with a free trial and usage-based billing, while Enterprise is priced via a custom quote. No dollar figures for plans are published.
US Food Prices open dataset
Free
Free and open dataset, refreshed daily; GitHub repo linked.
Starter (Kadoa platform)
Free trial; consumption-based
For an analyst or a small team: all core features, basic integrations, basic support.
Enterprise (Kadoa platform)
Custom (contact sales)
Custom usage limits and volume discounts, real-time monitors, all integrations (Snowflake, S3, MCP), SAML SSO, shared workspaces and unlimited users, enterprise SLA and compliance controls, dedicated account manager.
Integrations
- Snowflake (Enterprise)
- S3 (Enterprise)
- MCP (Enterprise)
- GitHub
FAQ
What is US Food Price Monitor?
A free, openly available dataset by Kadoa that tracks US food prices daily from USDA data. It covers wholesale and shipping-point benchmarks plus retail supermarket advertised prices, with charts, week-over-week movers, and year-over-year change. The latest report shown is dated 22 Sep 2026.
Which foods does it cover?
Produce benchmarks such as onions, potatoes, tomatoes, lettuce, avocados, strawberries, cucumbers, plums, squash, pineapples, and escarole, plus eggs. The retail section covers advertised items like Hass avocados, large brown pasture-raised eggs, yellow onions, russet potatoes, strawberries, and Roma tomatoes.
How much does it cost?
The food prices dataset is free and open, refreshed daily. Kadoa's broader platform is consumption-based: Starter offers a free trial with all core features, and Enterprise is a custom quote for scale use.
How current is the data?
It is updated daily, with weekly summaries: a 'biggest moves this week' table for wholesale benchmarks and weekly retail ad averages across stores. Market news entries are dated, e.g., USDA onion and potato reports from 21 Sep.
Does it include historical prices?
Yes. Each commodity has a price chart covering roughly the past year (Sep 2025 to Sep 2026), and every benchmark lists its percentage change against a year earlier.
Where does the retail data come from?
From what US supermarkets advertised in a given week, averaged across stores. The page lists the number of stores behind each retail figure, such as 3,893 stores for avocados and 2,318 for Roma tomatoes.
Is it open source?
The dataset is described as 'free and open, refreshed daily' and a GitHub repository is linked for starring. The underlying Kadoa platform itself is a commercial product with Starter and Enterprise plans.
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