Indian gooseberry (Phyllanthus emblica L.) has become increasingly important in India due to rising demand for Ayurvedic and natural health products. This study examines the growth and yield patterns of Indian gooseberry over its lifespan. Trees aged 6 to 35 years were studied in different conditions. The research was carried out in two regions of Tamil Nadu—the North Western Zone (NWZ) and North Eastern Zone (NEZ). These regions differ in climate and soil, providing a comprehensive assessment of how the species performs in varied environments. Biometric parameters including total tree height and diameter at 2 m vertical intervals were recorded using a tree telescope. Multiple linear regression (MLR) analysis was employed to develop zone-specific yield prediction equations and yield tables, bypassing
conventional form-factor assumptions. The yield prediction model common to both zones takes the form Y = -0.059 + 0.001X1 + 1.67X₂ + 0.004X₃ - 0.038X₄, while monetary yield is expressed as Y = 0.093 + 0.001X₁ + 0.302X₂ + 3.545X₃ - 0.039X₄. Pronounced inter-zonal differences in growth and productivity emerged from the results, underscoring the significant influence of site-specific soil conditions and local climate in shaping tree performance. The yield tables derived from this analysis offer a statistically grounded and field-applicable framework for estimating productivity, guiding management decisions and supporting the sustainable use of Indian gooseberry across the varied regional environments of Tamil Nadu.