UNSPSC 50314929: Organic kay pearl nectarines

The variety of organic nectarines known as organic kay pearl nectarines

UNSPSC 50314929 Organic kay pearl nectarines is a Commodity code that shows minimal relevant recent activity. The code nominally describes a specific organic stone fruit variety, but the most recently posted state and local opportunities under this code tag bananas, mixed fresh produce, eggs, and comprehensive school nutrition program supplies — product categories entirely unrelated to nectarines. The single solicitation that references the code by name (Madison Metropolitan School District RFB 4162, posted July 8, 2026, due July 29, 2026) procures petite bananas, not nectarines, suggesting a classification mismatch in the underlying procurement database. State and local governments buying fresh produce for school nutrition programs do source seasonal stone fruits including nectarines, but this code as currently tagged does not capture that activity; opportunities in the database are being classified under broader fresh fruit and produce codes or have been miscoded.

The opportunities posted against this code in the past 90 days are dominated by school districts in Georgia and Texas (Madison Metropolitan School District in Wisconsin, Hancock County Board of Education, Bulloch County School District, Liberty County Board of Education, Muscogee County School District, Savannah-Chatham County Public School System, Glynn County Board of Education in Georgia; McAllen and Austin Independent School Districts in Texas; Hillsborough County Public Schools in Florida; and the State of Georgia and Douglas County School System cooperative) soliciting fresh produce, bananas, eggs, and comprehensive food service supplies through RFP, RFQ, IFB, and ITB notices. None of these opportunities explicitly request nectarines or stone fruit. Pursue this code only if your firm sources seasonal fresh produce broadly for school nutrition programs and can tolerate database classification errors; the code as tagged does not reliably identify nectarine demand.