A Validated Multidimensional Indicators Framework for Integrated Management of cv . Hass Avocado Production Systems Under Tropical Conditions

Colombia has quickly become one of the world’s leading producers of cv. Hass avocado, yet this rapid expansion has driven establishment into agroclimatically marginal areas, generating productivity gaps and sustainability concerns that current management frameworks are insufficient to address. Regardless of the sector’s economic relevance, no validated, producer‐informed, multidimensional indicator framework exists for evaluating and guiding integrated management at the farm level, a gap that limits evidence‐based decision‐making, extension program design, and public policy formulation. This study develops and validates a comprehensive set of indicators that capture the administrative, economic, financial, productive, technological, and social dimensions of the Colombian cv. Hass avocado sector. Using multiple correspondence analysis (MCA) applied to 30 farms in Sonsón, Antioquia, followed by multimodel validation across 77 farms spanning all major avocado‐producing regions of Colombia, we developed and validated a hierarchical indicator framework covering administrative, economic, financial, productive, technological, and demographic dimensions. Fifteen indicators were identified and used to classify producers into four performance levels; ten were subsequently prioritized based on producer validation and demonstrated influence on farm performance. MANOVA confirmed significant multivariate group separation (Wilks’ λ = 0.388, p < 0.001), with High‐level producers achieving yields 76% greater, prices 77% higher, and profitability 4.6 times that of low‐level counterparts. Demographic and technological factors emerged as the most decisive and challenging dimensions, strongly shaping productivity, sustainability, and competitiveness. Indicators related to profitability, productivity, cash flow, crop age, information systems, producer experience, the use of digital tools, workforce education, access to permanent labor, and credit balance were consistently the most influential across small, medium, and large‐scale producers. The resulting framework constitutes a transferable, scalable tool for farm‐level decision‐making, regional planning, and public policy design across diverse socioeconomic and farm‐size contexts.