This dataset contains the key input parameters used in the health-augmented macroeconomic model to estimate the economic burden of depression in China, India, and the USA over the period 2025–2050. The model is incorporates country‑specific data on population, labour force participation, educational attainment, depression prevalence, mortality, treatment costs, saving rates, capital stock, and GDP projections. All raw data were obtained from publicly available sources, including the Global Burden of Disease Study (GBD), World Bank, International Labour Organization (ILO), United Nations Population Division, Barro‑Lee Educational Attainment Database, and Penn World Table. The dataset is structured to allow full replication of the analysis presented in the associated manuscript. For further details, please refer to the paper and its supplementary materials.