India’s Demographic Transition: Insights from the SRS Report 2021

Context and Importance

On May 7, 2024, the Registrar General of India (RGI) released the Sample Registration System (SRS) Statistical Report for 2021, presenting critical demographic trends in fertility, mortality, and age distribution across India. While the Census 2021 remains delayed, the SRS offers the most reliable annual estimates of fertility and mortality indicators.

The findings have significant implications for India’s population policy, economic planning, aging population management, and the framing of welfare policies.

Key Highlights from the SRS Report 2021

1. Total Fertility Rate (TFR) at Replacement Level

TFR remained at 2.0 in 2021, same as 2020.
The replacement level fertility is considered to be 2.1, i.e., the rate at which a population exactly replaces itself from one generation to the next.
India has achieved below-replacement fertility, suggesting stabilising population growth.

State-wise Data

Highest TFR: Bihar (3.0) – above replacement level.
Lowest TFR: Delhi and West Bengal (1.4) – well below replacement level.
Other low TFR states: Tamil Nadu, Andhra Pradesh, Kerala, Jammu & Kashmir, Maharashtra, Karnataka, and Telangana – all below 1.6.

2. Shrinking Child Population

The population in the 0-14 age group declined from 41.2% in 1971 to 24.8% in 2021.
This reflects a significant demographic transition and correlates with falling fertility rates and rising age at marriage.

3. Rising Working-Age Population (Demographic Dividend)

The 15-59 age group, considered the economically productive population, increased from 53.4% to 66.2% between 1971 and 2021.
India is currently experiencing a demographic dividend phase, providing a crucial opportunity for economic growth if harnessed effectively.

4. Growing Elderly Population

The 60+ population rose from 6% to 9%; the 65+ category increased from 5.3% to 5.9%.
Reflects improving life expectancy, but also signals upcoming challenges in healthcare, pensions, and geriatric welfare.

State-wise Elderly Data

Highest elderly population: Kerala (14.4%), Tamil Nadu (12.9%), Himachal Pradesh (12.3%).
Lowest elderly population: Bihar (6.9%), Assam (7%), Delhi (7.1%).

5. Increasing Age at Marriage

The mean age at effective marriage for women increased from 19.3 years in 1990 to 22.5 years in 2021.
This trend has strong linkages with education, employment opportunities, and fertility reduction.

Relevance for Governance and Policy

1. Population Stabilisation vs. Growth Debate

The TFR at 2.0 contradicts the political narrative of “fast population growth” used to justify restrictive population control policies.
Instead, India faces a more nuanced population ageing challenge in the coming decades.

2. Implications for Economy

The rising working-age population (66.2%) presents a window of economic opportunity, but it is time-bound.
Without investments in education, skilling, and employment generation, the demographic dividend may turn into a liability.

3. Elderly Welfare and Social Security

With rising life expectancy and a growing elderly population, India must prepare robust policies for:
- Pension coverage
- Healthcare access
- Age-friendly infrastructure
- Social inclusion

4. Women’s Empowerment

Rising age at marriage indicates positive progress in gender equality, female education, and reproductive health.
Policies like Beti Bachao Beti Padhao and expansion of women’s education must be sustained and strengthened.

5. Need for Comprehensive Data: Census Pending

Despite the SRS insights, a full picture requires the Census, which has been delayed since 2021.
The lack of granular demographic and caste data hampers planning, especially in areas like urbanisation, migration, and intra-State disparities.

Conclusion:

A Demographic Turning Point

The SRS 2021 data tells a compelling story: India is no longer a high-fertility country, and is on the cusp of demographic maturity. While falling fertility is a sign of development, the simultaneous rise in the elderly population and shifting age structure require urgent policy adaptations.

This moment is a turning point in India’s demographic journey — from population explosion concerns to challenges of aging, urbanisation, and productivity enhancement. The need for a data-driven, inclusive population policy is more critical than ever.