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IFMA releases FM benchmarks report on operations and maintenance

Oct. 03, 2017

IFMA's FM Research and Benchmarking Institute (RBI) has published definitive benchmarks for facility management (FM) professionals covering janitorial, maintenance, utility costs and sustainable practices. IFMA’s 2017 O&M Benchmarking Report, released in collaboration with the Royal Institution of Chartered Surveyors (RICS), draws data from 2,000 survey respondents throughout the United States and Canada and includes analysis of 98,000 buildings. New subjects in this year’s edition include security operations costs and staffing, organizational characteristics, FM supervisory trends and FM department placement within the organizational structure. The report is available for digital download from IFMA’s bookstore at bit.ly/omresearch for US$445 (US$295 for IFMA members).

Industry benchmarks, like the ones provided in this report, provide invaluable data that FM professionals — and anyone working with the built environment — can use to anticipate project outcomes and then compare the actual results with similar projects. As the world’s largest professional association for FM, IFMA is uniquely positioned to offer insightful benchmarks across a variety of markets and regions.

The RBI benchmarking process is methodically driven based on the key performance indicators identified in answering the proposed research questions. This process joins IFMA subject matter experts, contractors, collaborators and RBI staff in the task of developing the best, most useful products in the FM industry. The RBI process is grounded in traditional benchmarking techniques for identifying the best possible key performance indicators.

The 2017 O&M Benchmarking Report, which indicates a notable increase in janitorial costs over the previous edition, includes data subsets for 33 broad industry categories (including services, manufacturing and institutional) and 29 facility use categories (including office, industrial, assembly, retail and government types). The data points were drawn from a variety of building portfolio types (such as space within a building, single building and multiple buildings) cross referenced by region, climate and building age, type of ownership and more.