UNSPSC 93141610: Demographic studies

UNSPSC 93141610 Demographic studies is a Commodity code capturing the range of analytical, planning, and assessment services that state and local governments procure to support strategic decision-making on housing, transportation, workforce, equity, and service delivery. Recent solicitations show state and local jurisdictions using this code to procure feasibility studies, needs assessments, opportunity evaluations, and demographic research—work that informs policy, planning, and capital investment decisions rather than delivering infrastructure or implementing programs directly.

Activity across this code spans a mixed issuing-body landscape: cities (Fort Myers, Apopka, Phoenix, Rio Rancho, LaGrange, Pooler, College Park, Wheat Ridge, Stockbridge, Bend, San Antonio) represent the largest cohort, followed by counties (Fairfax County, Ozaukee County, Seminole County, San Mateo County), state agencies (Texas Education Agency, Oregon Department of Administrative Services, Michigan Department of Technology, South Dakota Department of Military, Colorado Department of Criminal Justice), school districts (Atlanta Public Schools, Boston School Committee, Granite School District, West Texas A&M University), and special districts (Kissimmee Utility Authority, Invest Atlanta). Representative recent solicitations include the City of Fort Myers' Downtown Pedestrian Mall and Micromobility Feasibility Study (RFQ, proposals due July 13, 2026), Fairfax County's Procurement Disparity Study (RFP, due July 24, 2026), Pinellas County's AI Strategic Roadmap and Governance Framework consultant (RFP, due July 16, 2026), and the Texas Education Agency's evaluation of the 21st Century Community Learning Centers Grant (RFP 701-26-018, due June 3, 2026). Geographic concentration is diffuse; recent opportunities posted from Florida, Georgia, Colorado, Michigan, Ohio, Oregon, South Dakota, Texas, Washington, and Wisconsin. The code sees consistent monthly activity across diverse jurisdictions and service categories—no dominant buyer and no clear geographic concentration.