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Population Aging in India: A Micro-Level Estimate Using Gridded Population Data
Nawaj Sarif1, A H Sruthi Anil Kumar2, Aditi Chakraborty3
1Department of Migration and Urban Studies, International Institute for Population Sciences, Mumbai, India.
Journal of Aging & Social Policy
|September 15, 2023
Summary
India
Area of Science:
- Demography
- Gerontology
- Public Health
Background:
- Global population aging is a significant demographic trend.
- India faces challenges in social security provision due to inadequate data on older populations.
- Micro-level demographic analysis is crucial for understanding aging trends.
Purpose of the Study:
- To analyze spatial patterns and micro-level trends of population aging in India.
- To project the share of older populations in India for 2030 and 2040.
- To inform localized policy development for the elderly.
Main Methods:
- Utilized gridded population data for micro-level analysis.
- Examined spatial patterns and demographic shifts.
- Projected future trends in the older population share.
Main Results:
- India exhibits significant intra-state variability in population aging trends.
- Specific districts show a higher concentration of older individuals.
- The proportion of older people in India is expected to increase substantially in the coming decades.
Conclusions:
- National and state-level policies require a shift towards localized approaches for population aging.
- Targeted policies and programs are essential for the well-being of India's aging population.
- Findings support policymakers in enhancing social security and quality of life for older adults.
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