NIGP 415: Furniture: Laboratory

NIGP 415 Furniture: Laboratory, a Class code, encompasses stainless steel laboratory fixtures, specialized laboratory workstations, and related laboratory furnishings that state and local governments procure for clinical, research, and institutional settings. Recent activity under this code is sparse; the source contains no active solicitations directly seeking laboratory furniture. One cooperative purchasing RFP issued by the City of O'Donnell on behalf of the Purchasing Cooperative of America (PCA) references NIGP 415 among multiple commodity categories (175, 345, 415, 475, 495, 898) in a broad medical and laboratory supplies and equipment solicitation with a May 5, 2026 response deadline, but this is a multi-category vehicle rather than a laboratory furniture–specific procurement. A separate RFP from the State of Texas for medical and laboratory supplies and equipment (OD-443-26, response due May 5, 2026) also appears to span multiple NIGP codes but lacks detail sufficient to isolate laboratory furniture scope. The source does not identify issuing bodies repeatedly soliciting under 415 or geographic concentration of laboratory furniture activity.

Without substantive recent opportunities devoted to 415 specifically, the activity profile remains unclear from the available data. The two state-level RFPs that reference medical and laboratory supply categories suggest ongoing state procurement interest in institutional laboratory materials, but neither focuses explicitly on furniture assets. No school districts, counties, or municipalities appear in the source with standalone laboratory furniture solicitations. Vendors interested in this code should monitor state-level health, research, and educational purchasing channels and consider participation in the PCA cooperative vehicle and the State of Texas RFP if their product lines align with the broader laboratory supply scope; however, activity under 415 as a distinct line item does not emerge as active enough to prioritize for immediate pursuit based on this dataset.