Notice of Non-Affiliation and Disclaimer
 

www.USDAprices.com is not affiliated, associated, authorized, endorsed by, or in any way connected with the USDA, or any of its subsidiaries or its affiliates.

Produce Market data from the USDA may be found at www.ams.usda.gov.

The name “USDA” as well as related names, marks, emblems and images are registered trademarks of USDA.gov.

This website tool is provided as a free service to improve the accessibility and provide visualization of USDA price information.  The reliability of this data is not audited, and information from this website should not be relied upon for the purchase and sale of produce.  

LEARN HOW TO USE OUR FREE VISUALIZATION TOOL

Purpose of the Free Tool:

Analyze historical USDA "Mid Mostly" Weekly price data for your produce commodity.  Filter as desired to create the optimal Graphs or Data Tables.

1.  Easy-to-customize Line Graph

Select data that is relevant for your needs:  Commodity, Variety, Sub Variety, Shipping Point, Package, Item Size, and Year.

"Select All" or select any number of Criteria by holding the Ctrl key.

Visualize the historical trends and volatility for each Year using your customized filter criteria.

2.  Exportable Data Tables

Export the Filtered Data into an Excel, CSV or PDF File.   Use the exported data to create your own Pivot Tables in Excel without having to search the USDA website and calculate the mid-mostly.

www.USDAprices.com contains "Calculated Fields" to determine the USDA mid-mostly by week number:

If a "mid-mostly" price is not reported by the USDA, then the Mid-Mostly is calculated by taking an average of low price and high price provided.  The Data is exhibited as the Average "Mid Mostly" price for the Week by averaging the Daily Prices.

The Week # is defined by Excel function, =weeknum().

The majority of the Mid-Mostly Prices are expressed as a "per package" Price, however, "Bins" and "Bulk" are expressed as $/LB.  Therefore, the Data is less meaningful if Bin (Bulk) Packages are selected with "Case" data.