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Social Issues May 23, 2026 5 min read Daily brief · #4 of 35

Only 6 states now have fertility rate above replacement level

India's national Total Fertility Rate (TFR) has declined to 2.0 as per NFHS-5 (2019–21), falling below the replacement level of 2.1 for the first time in Ind...


What Happened

  • India's national Total Fertility Rate (TFR) has declined to 2.0 as per NFHS-5 (2019–21), falling below the replacement level of 2.1 for the first time in India's demographic history.
  • Only a small group of states — reduced to approximately 6 in the most recent data — continue to record TFR above the replacement threshold of 2.1, down from 25 states just two decades ago.
  • States above replacement level include Bihar, Uttar Pradesh, Meghalaya, Jharkhand, Manipur, and one additional state in certain datasets; 31 States and Union Territories have now reached TFR at or below 2.1.
  • This demographic transition has significant implications for the composition of India's parliamentary constituencies (delimitation debate), the geographic distribution of the workforce, and the sustainability of social welfare schemes.

Static Topic Bridges

Total Fertility Rate and Replacement Level

The Total Fertility Rate (TFR) is the average number of children a woman would have over her reproductive lifetime (ages 15–49) if she experienced the age-specific fertility rates of a given year throughout her life. It is the most widely used summary measure of fertility in demographic analysis.

  • Replacement level fertility is 2.1 children per woman (slightly above 2 to account for childhood mortality and the slight male preponderance at birth). At this level, a population replaces itself from generation to generation without net growth or decline.
  • India's TFR trajectory under NFHS surveys: NFHS-1 (1992–93): 3.4 → NFHS-2 (1998–99): 2.9 → NFHS-3 (2005–06): 2.7 → NFHS-4 (2015–16): 2.2 → NFHS-5 (2019–21): 2.0.
  • States with the highest TFR (NFHS-5): Bihar (2.98), Meghalaya (2.91), Uttar Pradesh (2.35), Jharkhand (2.26), Manipur (2.17).
  • States with the lowest TFR (NFHS-5): Sikkim (1.1), Andaman & Nicobar Islands (1.2), Goa (1.3) — well below replacement, signalling potential future population decline in these regions.

Connection to this news: The article's finding that only 6 states remain above replacement level represents a dramatic convergence in India's fertility landscape, with implications for welfare planning, resource allocation, and the ongoing discussion on delimitation of parliamentary constituencies.

Demographic Transition Theory

The Demographic Transition Model (DTM), developed by Warren Thompson (1929) and elaborated by Frank Notestein (1945), describes the historical shift in human populations from high birth and death rates to low birth and death rates as countries industrialise and modernise. The model has four stages:

  • Stage 1 (Pre-industrial): High birth rate + high death rate = stable, low population.
  • Stage 2 (Early industrial/developing): Death rate falls (improved sanitation, medicine) while birth rate remains high → rapid population growth.
  • Stage 3 (Late industrial): Birth rate begins to fall as urbanisation rises, women's education improves, and child survival rates increase.
  • Stage 4 (Post-industrial): Both rates are low; population growth stabilises or reverses.
  • India as a whole has transitioned from Stage 2 to Stage 3–4 in recent decades. However, the divergence between high-TFR states (still in Stage 3) and low-TFR states (in Stage 4) creates a dual demographic profile within the country.

Connection to this news: The concentration of above-replacement fertility in a handful of states while most of India is in Stage 4 reflects uneven economic development, unequal access to education (especially for women), and varying social norms — structural factors that policy must address beyond mere family planning.

Demographic Dividend

The demographic dividend refers to the economic growth potential arising from a shift in a population's age structure — specifically, a period when the working-age population (15–64) is proportionally larger than the dependent population (children and elderly). This window, first identified by David Bloom and David Canning, offers a unique opportunity for rapid economic growth if accompanied by appropriate policies in education, health, and employment.

  • India is currently experiencing its demographic dividend window, estimated to peak around 2041, when the working-age population will be at its largest share.
  • The dividend is not automatic — it requires high-quality education, skills development, healthcare, and job creation.
  • States with persistently high TFR (Bihar, UP) will continue to add large numbers of young people to the population, potentially prolonging the dividend if matched with employment and education investments.
  • States with sub-replacement TFR face an ageing population challenge — rising dependency ratios, pension pressures, and shrinking labour forces in the longer term.
  • The UNFPA estimates that 1/5th of the global demographic dividend potential currently resides in India.

Connection to this news: The divergence in fertility rates between Indian states means the demographic dividend is not equally distributed. Northern and North-eastern states with higher TFR will continue to supply young workers; southern and western states with lower TFR face earlier ageing pressures — with consequences for inter-state migration, fiscal transfers, and delimitation debates.

National Population Policy 2000

The National Population Policy (NPP) 2000 is India's comprehensive framework for managing population growth through voluntary, rights-based approaches. It replaced the earlier, more directive interventions of the 1950s–1970s (including the coercive sterilisation campaigns of the Emergency period).

  • Immediate objective: Address unmet needs for contraception, reproductive health, and primary healthcare infrastructure.
  • Medium-term objective: Reduce TFR to replacement level (2.1) by 2010 — a target substantially achieved nationally by NFHS-5, though with a 10-year delay.
  • Long-term objective: Achieve a stable population consistent with economic growth, social development, and environmental protection by 2045.
  • Key features: Universal access to family planning; reduction of infant mortality rate (IMR) to below 30 per 1,000 live births; reduction of maternal mortality ratio (MMR) to below 100 per 100,000 live births; universal immunisation of children; focus on female literacy and empowerment.
  • The NPP 2000 explicitly rejected coercive population control and emphasised voluntary family planning through informed choice.

Connection to this news: The achievement of sub-replacement TFR nationally is a major policy success for the NPP 2000 framework, though the persistent above-replacement fertility in 6 states signals that the same voluntary, rights-based approach must be sustained with targeted investments in female education, healthcare access, and women's economic participation.

Key Facts & Data

  • India's TFR (NFHS-5, 2019–21): 2.0 — first time below replacement level
  • Replacement level TFR: 2.1 children per woman
  • States above replacement level (approx.): Bihar (2.98), Meghalaya (2.91), Uttar Pradesh (2.35), Jharkhand (2.26), Manipur (2.17) — approximately 5–6 states depending on survey round
  • States/UTs at or below replacement: 31 out of 36
  • NFHS (National Family Health Survey): Conducted by Ministry of Health and Family Welfare; NFHS-5 is the most recent (2019–21)
  • TFR trend: 3.4 (1992–93) → 2.0 (2019–21) — a reduction of 1.4 points over ~27 years
  • National Population Policy: Released in 2000; medium-term goal was TFR at replacement by 2010; achieved nationally by NFHS-5 (delayed by ~10 years)
  • Demographic dividend window for India: Estimated to peak around 2041
  • Lowest state TFR (NFHS-5): Sikkim at 1.1 — well into sub-replacement territory
On this page
  1. What Happened
  2. Static Topic Bridges
  3. Total Fertility Rate and Replacement Level
  4. Demographic Transition Theory
  5. Demographic Dividend
  6. National Population Policy 2000
  7. Key Facts & Data
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