en عمومى General مقاله اصیل Original Article <div style="text-align: justify;">Introduction: E-waste is increasing across Southeast Asia (SEA), yet comparative evidence on its socioeconomic factors remains limited. Prior research is dominated by single-country case studies and inconsistent measures, obscuring the relative roles of population, income, urbanization, and electricity access. This study harmonizes official statistics for 11 SEA countries&mdash;Brunei Darussalam, Cambodia, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines, Singapore, Thailand, Timor-Leste, and Vietnam&mdash;to quantify these relationships.<br> Methods: Cross-sectional log-linear ordinary least squares (OLS) models were estimated with outcomes ln(total e-waste, million kg) and ln(e-waste per capita, kg/person), regressed on ln(population), ln(GDP per capita), urbanization (average annual rate, 2010&ndash;2023), and urban electricity access (0&ndash;1). Official datasets from the Global E-waste Monitor 2024, the World Bank, Worldometers, Asian Development Bank, and United Nations were harmonized and standardized. Robustness was assessed via variance corrections, residual diagnostics, multicollinearity tests, and leave-one-out refits.<br> Results: Total e-waste rises mainly with population and secondarily with income, while per-capita generation is driven by economic development rather than population density. Urbanization and electricity access show no independent effect once these are controlled. Diagnostic checks confirm the models&rsquo; stability, with results robust across specifications and unaffected by singlecountry influence.<br> Conclusion: E-waste production in Southeast Asia is structurally shaped by demographic scale that drives aggregate volumes, while affluence explains per-capita intensity. Urbanization and electricity access, though often cited as modernization indicators, show no independent relationship once population and income are controlled. These findings establish a regional baseline for understanding and tracking e-waste drivers.</div> Economic development, Electronic waste, Population density, Regression analysis, Socioeconomic factors 1 9 http://ehemj.com/browse.php?a_code=A-10-1-466&slc_lang=en&sid=1 Renante Melindo Garcia rgrmgarcia@gmail.com 100319475328460022913 0009-0000-4464-1844 Yes Correspondence to: Mindanao State University - General Santos, Fatima, General Santos City, Philippines