"India's TFR masks unplanned births and son-preference-driven fertility"
Total Fertility Rate (TFR)
average number of live births a woman would have over her entire childbearing age
Wanted Fertility Rate
TFR counting only births women themselves reported as intended; India's ≈ 1.6
India's demographic transition — the shift from high birth and death rates to low birth and death rates — is one of the defining policy stories of independent India. The central metric used to track this transition is the Total Fertility Rate (TFR), defined as the average number of live births a woman would have over her entire childbearing age. Replacement-level fertility is conventionally set at 2.1. NFHS-5 (2019–21) recorded India's national TFR falling below this threshold for the first time, a landmark moment that has been widely interpreted as evidence that India has 'solved' its population problem.
This headline figure, however, rests on a long and contested policy history. Post-Independence India initially pursued coercive, target-driven family planning, culminating in the forced sterilisations of the Emergency period (1975–77). The National Population Policy 2000 marked a decisive course correction, adopting a voluntary, rights-based, target-free approach that emphasised maternal health, female education, and informed contraceptive choice. The Sample Registration System (SRS) and the National Family Health Survey (NFHS) series have since become the primary instruments for tracking fertility, contraceptive prevalence, and maternal health outcomes across states and demographic groups.
The regional divergence within this national average is politically significant. Southern states such as Kerala and Tamil Nadu achieved sub-replacement fertility decades ago, while several northern states — Uttar Pradesh, Bihar, Rajasthan, Madhya Pradesh — are only now converging toward replacement level. This divergence underpins the ongoing debate about delimitation, fiscal transfers, and federal equity, making demographic data far more than a public-health statistic.
The TFR, while useful, is a blunt instrument. It counts all births — planned and unplanned, wanted and unwanted — and therefore does not reveal what women and families actually intend. Demographers have developed the concept of the 'wanted fertility rate' to address this gap: it counts only births that women themselves report as intended, yielding a measure of preferred family size rather than actual family size. The gap between the two is a direct measure of unmet reproductive need.
Currently, India's national TFR stands at approximately 2.0, while the average desired family size reported by women is approximately 1.6 — a gap of 0.4 children per woman. This gap is not uniformly distributed. Around eight states — including Uttar Pradesh, Bihar, Jharkhand, Rajasthan, Madhya Pradesh, Chhattisgarh, Assam, and Haryana — show a gap exceeding 0.30 children per woman, indicating that a substantial share of births in these states are beyond what women themselves want.
A second structural distortion is son preference. …
The total fertility rate in an economy is defined as:
Consider the following statements in relation to Janani Suraksha Yojana:
1.It is a safe motherhood intervention of the State Health Departments.
2.Its objective is to reduce maternal and neonatal mortality among poor pregnant women.
3.It aims to promote institutional delivery among poor pregnant women.
4.Its objective includes providing public health facilities to sick infants up to one year of age.
How many of the statements given above are correct?
Which of the following best describes the 'wanted fertility rate' as used in demographic analysis?
Consider the following statements regarding India's fertility and family planning profile:
1.India's national TFR fell below replacement level (2.1) for the first time in NFHS-5 (2019–21).
2.India's wanted fertility rate is approximately equal to its actual TFR.
3.Female sterilisation is the dominant contraceptive method in India.
4.The median age at first birth in India is above 25 years.
Which of the statements given above are correct?
In the context of India's demographic data, 'son preference' as a fertility driver is best evidenced by which of the following observations?
Which of the following policy shifts was introduced by the National Population Policy 2000 in India?
Want the full note, Prelims Facts & MCQ answers?
Create a free account — takes less than a minute.
Create free account