UNSPSC 81131502: Multivariate analysis

UNSPSC 81131502 Multivariate analysis is a Commodity code representing statistical analysis, data modeling, and quantitative advisory services that state and local governments procure to support operational decision-making, regulatory compliance, and strategic planning. The recent solicitations under this code show a mix of analytical engagements spanning financial risk modeling, voter survey design and statistical analysis, transit ridership data analysis, parking system analytics, procurement disparity statistical studies, and arbitrage rebate calculations. Issuing bodies include cities (Dallas), counties (Okaloosa County in Florida, Sacramento County in California, Fairfax County in Virginia), regional transit authorities (Orange County Transportation Authority), cooperative risk pools (Cooperative Insurance Services in Oregon), and state education departments (Nevada). Work is typically solicited as RFP or RFQ, with consulting engagements ranging from single-year to multi-year terms and budgets from under $100,000 to $380,000 where specified.

Recent activity clusters in California, Florida, Oregon, Virginia, and Texas. Representative opportunities include the City of Dallas's shared dockless mobility data and compliance platform (RFP, due October 30, 2026), Sacramento County's ballot measure planning advisory services with voter survey design and demographic analysis (RFP, responses were due August 6, 2026), Okaloosa County's arbitrage consulting services for tax-exempt bond compliance (ITQ, due July 15, 2026), Orange County Transportation Authority's ridership program consulting services with a $380,000 budget over two years (RFP, posted July 1, 2026), and Fairfax County's procurement disparity study analyzing supply-chain demographics (RFP, due July 24, 2026). Contracts typically require consulting firms to hold professional liability and general liability insurance, maintain independent contractor status, and deliver written reports with executive-ready presentations to governing boards or administrative leadership.