Population Aging in India: A Micro-Level Estimate Using Gridded Population Data

Abstract

As population aging continues to become a major demographic trend globally, it is essential to examine the demographic shifts at the micro-level to understand the changing scenario of older populations. A lack of adequate data in India on older populations is a hindrance to the government's efforts to provide social security for them. This study uses gridded population data to analyze the spatial patterns, micro-level trends, and the share of older populations in India for 2030 and 2040. The study's findings demonstrate that India has seen a dramatic shift in population aging trends, with large intra-state variability. The micro-level analysis shows that certain districts have a higher percentage of older people. Further, the share of older populations is predicted to rise considerably over the next two decades. The results highlight the need to shift from national and state-level policies to a more localized approach. The findings provide a comprehensive analysis of population aging at the micro-level in India and highlight the need for targeted policies and programs to ensure the well-being of older populations. The results of this study can inform policymakers in their efforts to provide social security for older people and improve their quality of life.

Keywords: Aging policy; Gridded population data; Population aging.