# Why is India two countries when it comes to birth rates? > India's fertility fell on a thirty-year lag between states, with female education a stronger predictor than income, and the gap is now a question of political representation. **Why India is two countries on birth rates** In 2023, a woman in Kerala had on average 1.5 children, while a woman in Bihar had 2.8. Both numbers fell sharply from much higher levels, but they fell three decades apart. The southern states crossed the replacement rate in the 1990s; several northern states are only reaching it now. The clearest signal is less about money and more about girls in classrooms. The share of women with 10+ years of schooling runs from about 33% in Bihar to 87% in Kerala, and that gradient predicts the fertility map more tightly than income. Meanwhile, the states that cut fertility earliest are now growing slowest, fueling a debate over whether parliamentary seats should shift northward. When you hear that India's fertility has fallen below replacement, you hear the truth about the average Indian couple. But the average Indian couple does not exist. A woman in Kerala has, on average, 1.5 children. A woman in Bihar has 2.8. Both numbers fell from much higher levels, but they fell on clocks set thirty years apart. That gap, and the forces that opened it, is what this page is about. ## How did fertility fall so differently in two ends of India? One country, two fertility histories. In 1971, a woman in Kerala would have, on average, about 4.1 children over her lifetime. A woman in Bihar in 1981 had about 5.7. Both numbers fell steadily, but Kerala's line crossed the replacement rate of roughly 2.1 births per woman sometime around 1990. Bihar's line is still above 2.1 in 2023. Tamil Nadu, with the lowest rate in the country now, started at 3.9 in 1972 and is down to 1.3. So when you see the national average, it is an average of Kerala's 1.5 and Bihar's 2.8. The average describes almost no one. The chart lines make it plain: the south and west fell first and hardest, and several northern and eastern states are only now arriving where the south was thirty years ago. ## What does the fertility map of India look like today? Pick any state. If it touches the sea in the south or west, it is almost certainly below replacement. Kerala (1.5), Tamil Nadu (1.3), Karnataka (1.5), Andhra Pradesh (1.5), Maharashtra (1.4), and Punjab (1.5) are all firmly below 2.1. The states still at or above the line form a band across the north and east: Bihar (2.8), Uttar Pradesh (2.6), Madhya Pradesh (2.4), Rajasthan (2.3), Jharkhand (2.1), Chhattisgarh (2.2), and Assam (2.0) are all still near or above replacement. The map colours this divide starkly. But even within the above-replacement band, the rates are falling. Uttar Pradesh, which began with 6.6 children per woman in 1972, is now down to 2.6. The direction everywhere is downward, but the starting point and the speed differ so much that the map a generation from now will look very different. ## How long have different states been below replacement? The gap is measured not just in births per woman, but in years. Kerala has spent 35 years below replacement. Tamil Nadu, 30. Andhra Pradesh crossed in 2004, so 19 years. Punjab and West Bengal followed in 2005 (18 years), Karnataka and Maharashtra in 2006 (17 years). Odisha reached it in 2012 (11 years), Gujarat in 2018 (5 years), and Haryana only in 2019 (4 years). For Bihar, Uttar Pradesh, Madhya Pradesh, and Rajasthan, that bar does not yet exist. They are still above the line, though their curves are bending downwards. The demographic transition, the shift from high to low fertility, has been under way in some states for two generations. The consequences of that head start are already written into their age structures and, soon, into their political weight. ## So is the gap between states widening or closing? Both, in that order. Take every big state's fertility and reduce it to a single measure, the distance between the highest and the lowest, and you get one line that carries the whole argument. Through the 1970s, 80s and 90s that gap sat near three children. The south had finished its fall while the north had barely started, so the country was stretched about as far apart as a country can be, with undivided Bihar close to six children and Kerala already near replacement. Then, around 2000, the gap began to close, and it has been closing since. By 2023 it is down to about 1.5, Bihar at 2.8 against Tamil Nadu at 1.3. This is the convergence the projections expect, showing up early. But read the number, not only the direction: a gap of 1.5 children is still wide, and it sits on top of thirty years of divergence already banked into how old each state is and how fast it grows. The states are catching up. The years they spent apart are not going anywhere. ## How do Indian states compare with countries on fertility? India is not a country in the fertility sense. It is a continent. On a single scale, Indian states span the global range. Bihar (2.8) sits above the world average of 2.19, higher than Bangladesh's 2.14 and not far from Pakistan's 3.55. Uttar Pradesh (2.6) and Madhya Pradesh (2.4) are also above the global midpoint. Then there is a steady slide: Rajasthan (2.3) just above the world average, Assam and Haryana at 2.0 and 1.9, Gujarat at 1.8. At the bottom, Tamil Nadu (1.3) and West Bengal (1.3) are lower than most countries in the developing world, including many that are much richer. One subcontinent, with its own internal Pakistan and its own internal East Asia. ## When did India's overall fertility fall below replacement? The long curve from 1960 tells the national story of one of the world's fastest fertility declines: from 5.92 children per woman to 1.96 in 2024. By around 2020-21, the all-India total fertility rate slipped below the replacement line. But that national story is a statistical averaging of the state histories we have just seen. The final dip below 2.1 happened because the very large populations of several heavily populated northern states became smaller families, and because the low-fertility states are now very low. The all-India figure is below replacement, but that does not mean most states are below replacement. It means that the total number of births in India is now less than what would be needed to replace the population in the long run, and that matters for the country's future size. But for understanding what is happening on the ground, the state is the right unit. ## Do richer states always have lower fertility? The first suspect is income. Richer people tend to have fewer children, and the state-level data confirms it: states with higher per-capita income generally have lower fertility. Bihar, with a per-capita income of about Rs 62,000, has a TFR of 2.8. Uttar Pradesh, at about Rs 98,000, is at 2.6. Kerala and Tamil Nadu, with incomes several times higher, are at 1.5 and 1.3. The slope runs the expected way, richer states with fewer children. But Kerala is the interesting dot. It reached replacement-level fertility in the late 1980s, when its income was still far below what many other states have today. So Kerala sits well away from where its income alone would place it. Income clearly helps, but it is not a tight lead. Something else must be doing more of the work. ## Does girls' schooling predict fertility better than income? Swap the horizontal axis. Instead of income, use the share of women who have completed at least ten years of schooling. Now the dots march downward with far less scatter. The four states with the lowest female education are also the ones with the highest fertility: Bihar (33% of women with 10+ years of schooling, TFR 2.8), Madhya Pradesh (34%, 2.4), Uttar Pradesh (43%, 2.6), and Rajasthan (39%, 2.3). At the other end, Kerala (87%, TFR 1.5) and Tamil Nadu (64%, 1.3) sit at the far right. Haryana, with 55% educated women and a TFR of 1.9, fits the line almost perfectly. West Bengal, with 40% yet a TFR of 1.3, is a notable exception, suggesting that other forces, such as a long history of progressive family planning, also matter. But across most states, the slope is clear: the more years a woman spends in school, the fewer children she is likely to have. Female schooling is the clearest statistical shadow of the fertility map. ## Does female workforce participation explain fertility decline in India? Across countries, the most reliable predictor of falling fertility is women entering paid work. In India, that relationship breaks down. Across states, female labour force participation and fertility make a shapeless cloud. Haryana, with just 24% of women in the workforce, has a low TFR of 1.9. Bihar, with 31% in the workforce, has a TFR of 2.8. Tamil Nadu (43%) and Kerala (41%) have high female work participation and low fertility, but West Bengal (40%) and Punjab (31%) also have low fertility with moderate or low workforce participation. So there is no clean line. The story in India is not about offices and factories pulling women out of childbearing. It is about schooling and the aspirations and autonomy that come with it. This is the female-labour paradox that demographers keep finding in India: more schooling tracks lower fertility, but paid work for women does not, so the pattern points at education rather than jobs without proving schooling alone is the cause. ## Does fertility fall with more education at the household level? The same pattern that holds across states also holds across women within the country. The National Family Health Survey (2019-21) asked women about their schooling and the number of children they had. The gradient is stair-step clear: a woman with no schooling has, on average, about 2.8 children. A woman with 5-7 years of schooling has 2.2. A woman with 10-11 years has 1.9. A woman with 12 or more years has 1.8. The difference between no schooling and 12+ years is about one child. This is not just about knowledge of contraception. It is about a woman's sense of what she can do with her life, the age at which she marries, the say she has at home. The education gradient is the same force that separates Bihar from Kerala, written at the level of individual women. There is a more mechanical version of this story, and it is worth taking seriously before setting it aside: fewer births happen because more couples use contraception. About 53 percent of married women in India now use a modern method, and the method is overwhelmingly female sterilisation, with male sterilisation close to zero almost everywhere. The low-fertility south leans on it hardest, with roughly 70 percent of married women in Andhra Pradesh and about 57 percent in Tamil Nadu sterilised, mostly after a second child. But contraceptive use does not draw the fertility map either. Kerala reached the country's lowest fertility with only moderate modern use, about 55 percent, and one of the higher rates of unmet need, while Madhya Pradesh, still well above replacement, reports higher use than Kerala does. Uttar Pradesh, the largest state, has the lowest modern use at about a third. So contraception is how the fall happens, the proximate route, but it is not why the states differ; what decides whether a woman uses it, and when she stops having children, runs back to the same place as everything else here, which is how long she stayed in school. The fuller story of why India's family planning falls so heavily on women belongs to the [national population picture](/articles/population-of-india/), not to this one about the gap between states. ## Is there a rural-urban fertility gap inside India? The fertility map has another layer: village and city. India's urban areas, taken together, now have a TFR of 1.5, well below replacement. The rural areas are at 2.1, exactly at the line. This divide runs inside every state. In high-fertility Bihar, urban women have an average of 2.2 children, while rural women have about 2.9. So even in the state with the highest fertility, moving to a city is associated with a large drop. But note: urban Bihar, at 2.2, is still just above replacement. So we cannot say that all Indian cities have fallen below. The urban advantage is real, but it does not erase the north-south gap entirely. Urban Uttar Pradesh is also lower than rural, but the state figures we see are averages of these two worlds. ## Which states are growing fastest now and why does it matter? The fertility gap becomes a population growth machine. Between 2011 and 2024, Tamil Nadu's population grew by just 6.6%, Kerala's by 7.6%, and Andhra Pradesh's by 8.5%. Meanwhile, Bihar grew by about 23%, more than three times the rate of the southern states. Uttar Pradesh, Madhya Pradesh, Rajasthan, and Jharkhand also clocked growth near 19-21%. The states that most successfully reduced fertility are now the ones adding the fewest people. This has a direct political consequence. Since the 1970s, the number of Lok Sabha seats per state has been frozen based on the 1971 population, precisely to avoid penalizing states that adopted family planning. If that freeze were lifted and seats reallocated based on current population, political weight would shift from the low-growth south to the high-growth north. The debate over delimitation, the redrawing of constituencies, is a live one. It pits the states that followed national family-planning policy against the demographic arithmetic of their own success. ## What does the government project for fertility by the 2030s? The most recent official projection, by the National Commission on Population's Technical Group, sees convergence. By 2031-35 the map narrows sharply but does not flatten. The southern and western states settle near 1.5, the big northern states land higher, around 1.8 to 2.0, and Bihar remains the only state projected above the 2.1 replacement line, at about 2.4. The national rate settles near 1.7. The spread shrinks from more than a child to a few tenths, but it does not close. But convergence of fertility rates does not undo the divergence already baked into age structures and population growth. The young people who were born in the north during the high-fertility decades are now or will soon be in their childbearing years, so even a rapid fertility decline means the north will continue to add more people for a generation. The overall Indian population is still growing, but the growth is increasingly a northern event. ## So where is the country as a whole heading? Stack the states back into one national line and the answer is blunt: India as a whole slipped under replacement around 2020, and the United Nations does not expect it to come back. The UN's projection, run separately from the Indian government's, puts the national rate at about 2.0 in 2023 and has it easing to roughly 1.7 by the middle of the century, then holding near there for the rest of it. In no decade this century does the median path climb back to the 2.1 line. So the state map and the national line say the same thing from two directions: the states narrow toward a band of about 1.5 to 2.0 by the 2030s, and the country they add up to is below replacement for good. The honest caveat is that this is the middle of a range, not a settled number. The UN's own 80 percent band for 2100 runs from about 1.25 to about 2.13, wide enough to hold a country far below replacement and, at the very top, one just back at it. The level is uncertain; the direction is not. ## How has fertility changed in each major state over 50 years? Every big state's story is here, from the 1970s to 2023. Kerala and Tamil Nadu started lower and fell early. Punjab and Haryana fell sharply from high peaks. Gujarat and Odisha fell at a moderate pace. Madhya Pradesh and Rajasthan are still falling, from very high starting points. Uttar Pradesh and Bihar are the last to move, but they are moving. This set of small panels lets you see your own state's arc. The common fact is that no state has increased: every line slopes downward. The difference is when the fall began, how fast it moved, and whether it has already slipped below the line that marks a shrinking population a generation from now. ## So is a falling birth rate a crisis or a success? It is worth ending on what all of this is for, because a falling birth rate is argued about more loudly than almost any number here, and the argument tends to split into two reflexes. One reads a rate below replacement as a warning: fewer workers, more retirees, and eventually a shrinking country, the road South Korea and Japan are already on. The other reads the same number as an achievement: smaller families are what happens when women are healthier, better schooled and freer to decide, and India reached this point in a few decades rather than the century it took much of the West. Both sides are describing the very states in this article. They disagree about whether the glass is emptying or filling. The alarm is easy to overstate. India is still the most populous country on earth and still growing; it will keep growing for decades on momentum alone, and it remains one of the youngest large economies in the world. Nobody serious expects it to shrink soon. What is real is a timing problem: the south is ageing first and fastest, and it is doing so at a much lower income than the rich countries that greyed before it. That is the ["old before rich"](/articles/is-india-getting-old-before-it-gets-rich/) worry, and it is about pensions, health systems and care work, not about a population cliff. The fiscal side of it belongs to a [separate look at state budgets and ageing](/articles/young-states-old-states/); the point here is only that the north and south face it on different clocks. The politics runs the opposite way from the panic. Because parliamentary seats may be reallocated by population once the freeze lifts, some southern leaders now say aloud that their states are being penalised for exactly the family planning the country once urged, and a few have gone as far as nudging couples to have more children. That is a real dispute about representation, not a demographic emergency. Beneath it sits a rights question India knows well: the memory of the Emergency-era mass sterilisation drive of the 1970s means that any talk of the state steering how many children people have, in either direction, carries a long shadow. Most demographers argue the humane and effective lever was never coercion; it was schooling, clinics and women's autonomy, which is the same lever this article keeps landing on. So the fair reading is neither triumph nor crisis. India's fertility fall is, on balance, a development success that reflects real gains for women, and it also hands the country a set of adjustments to manage: a workforce that will one day stop growing, a north and south on different clocks, and a political map that has to be redrawn without punishing the states that changed first. The number itself, 1.5 in one state and 2.8 in another, does not tell you which of those to feel. What it tells you plainly is that India is no longer one demographic story, and that pretending it is will get both the celebration and the worry wrong. ## How should you read these numbers? The numbers in this article come from several sources. State total fertility rates are from the Sample Registration System (SRS) of the Registrar General of India, 1971 to 2023, compiled via Data For India. Per-capita income is per-capita Net State Domestic Product at current prices (2011-12 base) from the RBI Database on Indian Economy. Female schooling shares are from NFHS-6 (2023-24), and the education gradient is from NFHS-5 (2019-21). Contraceptive use, sterilisation and unmet-need figures are from NFHS-6 (2023-24) as well. Female labour-force participation is from MOSPI's PLFS 2023-24. State population growth is from the RBI Handbook of Statistics on Indian States. The 2031-35 fertility projections are from the National Commission on Population's Technical Group (2019). The national fertility series is from the World Bank. The national fertility projection to 2100 is from the UN World Population Prospects 2024 (median variant); it uses the UN's own model, so its history differs slightly from the SRS figures. A total fertility rate is an estimate from a sample survey, rounded to one decimal. It is not an exact count. The long state series use undivided-state boundaries: Andhra Pradesh before 2014 includes Telangana, and the pre-2000 data for Bihar, Madhya Pradesh, and Uttar Pradesh include their child states. Per-capita income is in nominal rupees and is not adjusted for cost-of-living differences. Population figures after 2011 are official estimates because the 2021 census has not been held. The 2031-35 map is a projection, not a count. Income, education, urbanisation, and access to health and contraception all move together, so the associations shown here are strong correlates, not proven single causes. ## Sources - State total fertility rates: Sample Registration System, Registrar General of India, 1971-2023, compiled via Data For India. - Per-capita income: RBI Database on Indian Economy, per-capita Net State Domestic Product at current prices (2011-12 base). - Female schooling: NFHS-6 (2023-24), share of women aged 15-49 with 10+ years of schooling. - Female labour force participation: MOSPI, Periodic Labour Force Survey 2023-24. - State population growth: RBI Handbook of Statistics on Indian States, 2011-2024 estimates. - 2031-35 projections: National Commission on Population, Technical Group on Population Projections, 2019. - National fertility: World Bank, indicator SP.DYN.TFRT.IN. - National fertility projection to 2100: UN World Population Prospects 2024, median variant. --- Source: [This Indian Life](https://thisindianlife.today/articles/why-indian-states-have-different-birth-rates/) · Updated 2026-07-11. 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