Abstract: Population projections are pivotal to shaping urban planning strategies, as they provide essential data that informs decisions on infrastructure, resource allocation, and long-term city development. As urbanization accelerates, cities face challenges such as overcrowding, resource shortages, and environmental stress. Accurate population forecasting allows planners to anticipate these challenges and implement sustainable solutions.

This dissertation explores the dimensions of population forecasting, emphasizing the methodologies used and their applicability in preparing city master plans. Case studies, particularly from Indian cities, for instance, the Master Plan for Chennai Metropolitan Area illustrates the effective use of the Urban-Rural Growth Difference (URGD) method, while the Bengaluru Master Plan adopts cubic modelling to account for urban growth patterns. These examples showcase how tailored approaches to population projections can address unique urban challenges. This research highlights the importance of a multi-method approach, blending traditional and modern techniques to achieve precision in population projections. It advocates for continuous investment in data quality and accessibility, fostering informed and adaptable urban planning strategies for the future. Through a combination of theoretical exploration and practical application, the study contributes to the evolving field of urban demography and planning.

Keywords: Dimensions, Population Projection, Urban Planning, Methods of Population Projection.

| DOI: 10.17148/IARJSET.2025.12475