Agricultural Practices, Agrochemical Exposure, and Environmental Quality in Rural Communities of Michoacan, Mexico: Irekani Project Dataset

This dataset contains comprehensive information about agricultural practices, agrochemical exposure, environmental quality perceptions, and self-reported health concerns in agricultural communities of Michoacán, Mexico, collected as part of the Irekani Project using Citizen Science methodology. Participants: 288 agricultural workers Geographic coverage: 9 municipalities in 2 lake basins (Ciénega de Chapala and Pátzcuaro-Zirahuen) Variables: 181 Data collection period: November 2021 - January 2022 The survey captured: - Demographic characteristics - Agricultural practices (crop types, land area, irrigation methods) - Agrochemical exposure (73 specific compounds including atrazine, glyphosate, paraquat) - Personal protective equipment (PPE) use - Environmental quality perceptions (biodiversity, water quality, soil fertility) - Self-reported health concerns potentially related to agrochemical exposure All data has been fully anonymized to protect participant privacy (k-anonymity score: 19.1, privacy risk: <1%). Geographic information is limited to municipal level. IMPORTANT: Health data represents self-reported perceptions, not official medical diagnoses or clinical records. This dataset is suitable for machine learning prediction of agrochemical-related health risks, environmental quality perception analysis, and agrochemical exposure pattern characterization. Data collection was conducted by 26 university student Citizen Scientists through structured field interviews. All participants provided explicit informed consent. Publication authorized by UCEMICH (authorization letter included).