UNSPSC 11121623: Capirona wood

A wood derived from the capirona tree belonging to the rubiaceae family. It grows in lands with high organic content of the high and low jungle. The wood of this tree can be used in floors, parquet, moldings, pegs, navy construction, beams, bodywork, turn

UNSPSC 11121623 Capirona wood, a Commodity code, covers lumber and wood products that state and local governments source for construction, maintenance, and operations — though recent solicitations show the code encompasses a much broader range of wood and building materials than the nominal category suggests. State and local buyers are acquiring pressure-treated and specialty lumber in various grades and dimensions, plywood, hardwood veneers, paneling, mouldings, doors, dowels, and fasteners through both ongoing requirements contracts and project-specific IFBs and IWQs. The issuing bodies include city procurement offices, county financial services and transportation departments, university procurement services, and cooperative purchasing vehicles serving multi-jurisdictional needs. A 10 percent local business entity preference applies in some markets, and vendors must meet insurance, wage, and compliance standards that vary by jurisdiction.

Recent activity spans at least three states. The City of Philadelphia posted an RFQ for lumber on a requirements-contract basis due August 5, 2026, with estimated quantities across 21 wood-product categories and delivery timeframes ranging from 3 to 14 days depending on product type. Texas A&M University Division of Finance Procurement Services issued an ITB for a master-order lumber contract due July 29, 2026 through the AggieBid portal. Gwinnett County Financial Services in Georgia solicited quotes for pressure-treated pine, SPF framing materials, plywood, doors, and fasteners via Informal Written Quotation due June 18, 2026. A fourth opportunity — Sourcewell RFP #061626 for law enforcement equipment posted May 12, 2026 — was tagged to this code but does not appear related to lumber or wood products and likely represents a classification mismatch in the source data.