Is India getting healthier?

An average Indian born today can expect to live only 58 healthy years, leaving a gap of roughly 14 years with illness or disability.

While life expectancy reached 72.2 years by 2024, the WHO healthy life expectancy sat at just 58.2 years in 2021, leaving a gap of about 14 years lived with disability or disease. This gap has grown as non-communicable conditions like diabetes and heart disease fill the years once claimed by infections. For a family, the extra years often mean prolonged caregiving demands, especially for ageing parents. Sri Lanka and China, with similar life expectancy gains, report smaller health gaps because of stronger primary care and early disease management. The WHO metric weights years by health quality, so the 14-year loss represents time a person cannot live fully, not just medical cost.

India’s under-5 mortality plummeted from 241.3 deaths per 1,000 live births in 1960 to 26.6 in 2024, an 89% drop that saved millions of children.

The 89% drop from 241.3 to 26.6 under-5 deaths per 1,000 live births between 1960 and 2024 is the main engine behind India’s longevity gains. Yet Vietnam’s rate of 17.3 means India still loses 9 more children per 1,000, a gap that translates to hundreds of thousands of extra child deaths annually given India’s birth cohort. Bangladesh, starting even higher at 263.6, now runs neck and neck with India at 30.5, indicating that community-based interventions can match India’s scale. Neonatal deaths, often preventable with better facility care, account for over half of the remaining burden. Modelled estimates smooth out year-to-year noise, but the long-run trajectory is reliable.

India’s maternal mortality ratio fell from 658 deaths per 100,000 live births in 1985 to 80 in 2023, yet China and Sri Lanka achieved rates of 16 and 18, meaning an Indian woman faces nearly five times the risk of dying in childbirth.

While India’s decline of 88% is remarkable, it took nearly four decades to reach a level that Sri Lanka achieved over 20 years ago, with Sri Lanka reporting 68 in 1985. China’s MMR dropped from 125 to 16, an 87% reduction on a much lower starting point, showing that aggressive facility-based birth strategies and better antenatal care can drastically cut deaths. Bangladesh, with a higher initial burden of 926, now outperforms India at 115, suggesting India’s progress is not the fastest possible. For a rural mother, the risk remains concentrated in states with weak emergency obstetric services. Modelled estimates smooth annual fluctuations, so the data reflect trends, not precise yearly values.

Enteric infections fell from 97 million DALYs in 1990 to 18 million in 2023, an 81% decline.

Among the three major infectious and neonatal categories, enteric diseases (diarrheal illnesses) shrank the most, driven by improved sanitation, oral rehydration, and rotavirus vaccines. Neonatal disorders fell less sharply because birth asphyxia and prematurity are harder to tackle. Respiratory infections and TB still account for 35 million DALYs, reflecting persistent challenges like air pollution and drug-resistant TB. Absolute DALYs dropped even as India’s population grew, meaning the average Indian’s risk from these diseases plummeted. The shift signals a transition toward non-communicable diseases as the main health burden.

India’s measles immunization soared from just 1% in 1985 to 97% in 2024.

This 96-percentage-point climb lifted India above the world average (84.3%) and the lower-middle-income average (86.4%). The steep ascent after 2000 reflects the expansion of routine immunization, polio campaigns, and Mission Indradhanush. Coverage now rivals Bangladesh (96%) and China (95%) but outpaces Pakistan (86%). Administrative data may overstate coverage compared to household surveys, yet the trend is robust. Near-universal first-dose measles vaccine underpins the sharp fall in childhood mortality seen in the disease-burden chart.

Caesarean sections rose from 21.5% (NFHS-5, 2019-21) to 27.2% (NFHS-6, 2023-24), a jump of 5.7 percentage points.

In just one survey round, the C-section rate surged past the WHO’s 10-15% population benchmark, raising concern about over-medicalization. Meanwhile, four-antenatal-visit coverage improved from 58.5% to 65.2% and iron-folic-acid intake rose, indicating deeper engagement with care. Institutional births and skilled attendance are already high (above 90%), so the C-section rise likely reflects practice norms in both private and public facilities. The national average hides stark inter-state variation. Not every additional C-section is unnecessary; some may reflect better identification of high-risk pregnancies, but the speed of change warrants scrutiny.

India’s register lists 1.35 million allopathic doctors, but this cumulative total inflates the real number who are still practising.

The 1.35 million figure includes retirees, emigrants, and those who left clinical work, so the active doctor-to-population ratio is substantially worse than the raw count suggests. Nurses and midwives number 2.56 million, yielding a nurse-to-doctor ratio of about 2:1, which is low by global norms and hints at a skill-mix problem. The 1.71 million AYUSH practitioners further complicate the picture, as not all deliver evidence-based allopathic care. For a person in need, these paper numbers can mislead: you may live in an area with many registered doctors on paper yet still struggle to find a practising physician when you are sick.

India's child stunting fell from 62.7% in 1989 to 35.5% in 2020, but wasting barely moved from 20.3% to 18.7% over the same three decades.

While stunting reflects long-term undernutrition, wasting signals acute malnutrition and is a stronger predictor of child mortality. India's persistent high wasting, even as stunting fell, points to a crisis of dietary quality and recurrent infections that stunting trends obscure. Bangladesh, starting from similar levels, cut stunting to 23.6% by 2022, showing that rapid improvement is possible. In contrast, India's wasting rate in 2020 was nearly three times the World Health Assembly target of 5% by 2025. The stagnation implies that broad food security programs have not addressed the immediate causes of thinness in children.

Between NFHS-5 (2021) and NFHS-6 (2024), stunting fell from 35.5% to 29.3%, but wasting remained stuck at 19.3% to 19%.

The stunting decline is faster than in previous periods, yet the proportion of children with a minimally adequate diet barely crosses 15%, suggesting that factors beyond diet, like sanitation or maternal health, may be driving stunting reduction. Wasting, which is tightly linked to food intake and illness, remains high, and severe wasting did improve from 7.7% to 5.2%, but 19% wasting still means over 25 million children are dangerously thin. The stall implies that food supplementation and health programs have not yet reached children consistently enough to prevent acute malnutrition.

While rotavirus vaccination soared from 36.4% to 85.4%, caesarean births climbed to 27.2%, signaling both health system gains and potential over-medicalization.

The 49-percentage-point increase in rotavirus vaccination shows that India can rapidly scale up a new vaccine, likely preventing thousands of child deaths. Yet the rise in C-sections, beyond medical necessity, risks maternal complications and strains resources. Other indicators like health insurance coverage (from 41% to 60.2%) and measles second dose (58.6% to 71.8%) marked clear progress. But the near-stagnation of wasting and low adequate diet rates reveal that these system-level gains have not translated into better nutrition. The data expose a health transition where infectious disease control improves, but lifestyle-related and quality-of-care challenges emerge.

In the state with the highest share of overweight women (47.9%), child stunting is still 24.6%, revealing the double burden of malnutrition within the same households.

The coexistence of overweight women and stunted children within states, and often within families, undermines the old notion of malnutrition as a simple scarcity problem. For instance, the state with nearly half of women overweight has child stunting above the national average of 29.3%. Thinness among women still persists at 10.8% in that state, while in the state with lowest overweight, 15.6% of women are thin. The double burden suggests that diets are energy-dense but nutrient-poor, affecting adults and children differently. This intra-household contradiction, overweight mothers with undernourished children, points to a complex mix of poor dietary quality, possibly low birthweight, and inadequate feeding practices.

Between NFHS-5 (2021) and NFHS-6 (2024), child stunting fell 6.2 points to 29.3% while women’s overweight surged 6.7 points to 30.7%, crossing the threshold where more adult women are overweight than children are stunted.

The drop in child stunting from 35.5% to 29.3% is meaningful but pairs with a near-identical rise in adult female overweight from 24% to 30.7%. Child wasting barely moved (19.3% to 19%), and thinness among women actually edged up from 18.7% to 19.7%, showing undernutrition persists in pockets even as overnutrition explodes. These NFHS household-measured data points capture just a three-year window, suggesting dietary and lifestyle changes are accelerating in real time. The duality means health systems must now fight childhood undernutrition and adult obesity simultaneously, stretching budgets and policy attention. For an ordinary family, this can mean an underweight child and an overweight mother living under the same roof.

The widest wealth-based divide in child health reaches 29.4 percentage points in NFHS-5 (2021), with a condition affecting 37.5% of the richest quintile’s children versus just 8.1% of the poorest.

These NFHS-5 quintile gaps, measured before the pandemic, show that while some indicators like the 6.3-point gap imply fairly equitable coverage, others remain extremely pro-rich. The 29.4-point chasm likely reflects an access-dependent outcome such as full immunisation or institutional delivery, where the poorest children are left out. Even a 23.2-point gap on another measure means the rich have twice the prevalence of the poor, suggesting benefits of health gains flow disproportionately upward. National averages that celebrate declining stunting hide the reality that a child born into the poorest wealth quintile still faces dramatically higher risks. This inequality means India cannot claim healthier children until the gradient flattens.

In NFHS-6, the spread between the highest and lowest state hits 30.1 percentage points on one indicator, with a low of 11.2% and a high of 41.3%, meaning a state-level reality can be nearly four times the national average.

These NFHS-6 (2023-24) spreads are not rankings but the distance between best and worst performer on each indicator; a 30-point gap signals that health transitions have progressed entirely differently across states. For instance, child stunting may be below 10% in some states while exceeding 40% in others, representing a generational lag in nutritional improvement. The presence of Union Territories in the dataset can exaggerate extremes, but even among large states, differences are stark. This fragmentation means national policy targets fail to address state-specific epidemic stages; a state struggling with undernutrition cannot adopt the same strategy as one battling obesity. For a citizen, moving from a low to a high state can be like entering a different health century.

The largest rural-urban gap in NFHS-6 is 17.7 percentage points, with a condition affecting 40.5% of urban residents but only 22.8% of rural, showing cities now carry a heavier burden for some modern health risks.

This latest NFHS data shows that for at least three of four measured indicators, urban prevalence is higher, including a second gap of 15.5 points (urban 49.2% vs rural 33.7%). The exception is a 7-point gap where rural is higher, likely related to undernutrition or infectious disease. These patterns signal an epidemiological divergence: rural India still battles traditional health deficits while urban India grapples with lifestyle diseases like obesity and hypertension. The 17.7-point spread may reflect a condition such as overweight, where urban diets and sedentary lives drive rates upward. This means a one-size-fits-all health system cannot meet both rural and urban needs; cities require cardiac and diabetic care, while villages need better maternal and child nutrition services.

In 2023, non-communicable diseases accounted for 62.2% of India's disease burden, up from 26.4% in 1990, while communicable diseases fell from 65.6% to 26.6%.

This flip happened around 2010, but the shares obscure that total disease burden also grew. Absolute DALYs from communicable diseases remain high because of population growth, so India still faces a double burden. The shift signals that an average Indian is now more likely to suffer from heart disease, diabetes, or cancer than from infections. Health systems built for episodic care must pivot to manage lifelong chronic conditions. The crossover occurred at a lower income level than in many other countries, making the transition financially harder for families.

In 2023, India's non-communicable disease share of 62.2% was the lowest among the comparator economies, which ranged up to 82.1%.

India started at 26.4% in 1990, while one comparator was already at 57.9%, meaning India's transition occurred much later and from a lower base. The persistent gap shows India still bears a higher relative burden of communicable, maternal, neonatal and nutritional conditions. This dual burden forces the health system to confront both rising diabetes and heart disease and unfinished battles with tuberculosis and diarrhoea. The NCD share crossing 50% likely happened when India's per capita GDP was far below that of the other countries at their crossover points, implying enormous out-of-pocket spending pressure on households.

Enteric infections plunged from 97 million DALYs in 1990 to 18 million in 2023, while cardiovascular diseases doubled to 80 million.

The leaderboard reshuffle exposes the dual burden: cardiovascular diseases, cancers and diabetes surged, but neonatal disorders still cause 35 million DALYs, down only 60% from 1990. Mental disorders and musculoskeletal conditions, nearly invisible in 1990, now each exceed 26 million DALYs, reflecting an ageing population and diagnostic shifts. Despite the fall in enteric and respiratory infections, respiratory infections and tuberculosis together still account for 35 million DALYs, indicating stubborn pockets of infection. These model estimates mean health financing must stretch from insulin pumps to oral rehydration salts.

Cardiovascular disease killed an estimated 3.1 million Indians in 2023, about as many as chronic respiratory disease, cancers and diabetes combined.

This is the death-count view of India’s disease transition, and it is lopsided. Heart and circulatory disease alone account for roughly 3.1 million deaths a year in the GBD 2023 estimates, while chronic respiratory disease (about 1.25 million), cancers (1.06 million) and diabetes (0.6 million) form a distant second tier. The infectious and newborn causes that dominated India’s deaths a generation ago, diarrhoea, pneumonia, tuberculosis and birth complications, have each fallen below half a million. Counts are not the same as risk: because these are absolute numbers, a growing and ageing population lifts them even when death rates fall. What the bar cannot show is age, and the burden chart weights deaths by how early they strike, which is why childhood causes loom larger there than here.

Road accidents cause 5.2% of male deaths but only 1.4% of female deaths, while ill-defined causes account for 15.5% of women’s deaths versus 9.7% of men’s.

Two different stories sit in these bars. The first is biological and behavioural: men die more from cardiovascular disease (30.8% of male deaths versus 26.2% for women) and far more on the roads, where their share is almost four times higher. The second is about records, not bodies. Fever of unknown origin and ill-defined causes together account for more than a fifth of women’s deaths but well under a sixth of men’s, meaning a woman’s death is markedly more likely to be registered without a real diagnosis. Cancers take a slightly larger share of women’s deaths. These are shares of each sex’s own deaths, so they describe composition, not how many die. The figures, pooled over 2017 to 2019, predate the 2023 GBD counts above and come from India’s own registration system.

Between NFHS-5 and NFHS-6, the share of men with high blood sugar jumped from 15.6% to 20.9%, even as elevated blood pressure fell slightly.

These are household measurements, not models. Overweight and obesity rose sharply for both sexes (women from 24% to 30.7%, men from 22.9% to 27.3%) in just three years. That likely drove the diabetes surge, but the concurrent drop in elevated blood pressure (women from 21.3% to 19.4%, men from 24% to 22.1%) raises questions: it may reflect better treatment and awareness, or a real dissociation from obesity in the short term. For an ordinary Indian, the metabolic risk is now higher than ever, even if hypertension appears contained. Screening and long-term care demands will multiply.

Suicides rose about a fifth from 2011 to 2021, to 1.64 lakh, driven almost entirely by men, while accidental deaths stayed near 4 lakh.

Two external causes of death, two different stories. Accidental deaths hovered around 4 lakh a year and dipped to 3.74 lakh in the 2020 lockdown when traffic collapsed. Suicides climbed from about 1.36 lakh in 2011 to 1.64 lakh in 2021, with the steepest rise in the COVID years. Almost all of that increase was male: recorded male suicides went from 87,839 to 118,979 while female suicides barely moved, near 45,000. These are police counts, and suicide is widely under-reported, so the real numbers are higher. What the chart cannot show is rate versus count: a growing population lifts both lines even when individual risk is unchanged.

By NFHS-6, 54.1% of births in private facilities were by caesarean, against 16.9% in public ones, a roughly threefold gap.

India's overall caesarean rate rose from 21.5% to 27.2% between the two survey rounds, but the facility split is the real signal. Private hospitals now deliver more than half of their births surgically, while public facilities sit near 17%. Some rise is medically genuine, as mothers grow older and first births are handled cautiously, but a threefold facility gap is hard to attribute to need alone, because a caesarean bills for far more than a normal delivery. The World Health Organization holds that a population rate above 10 to 15% is rarely justified on medical grounds. What the lines cannot show is harm to mothers and babies from unnecessary surgery, or the out-of-pocket cost it adds.

India's adult diabetes prevalence rose to 10.5% in 2024, up from 9% in 2011, an increase of 1.5 percentage points that translates to millions of new cases.

The 2024 figure of 10.5% places India below the highest neighbour (13.2%) but above the lowest (3.4%). Since 2011, the prevalence climbed by a full percentage point and a half, outpacing some comparators, signalling a rapidly growing metabolic disease burden. These are modelled estimates, not measured blood glucose from surveys, so the true prevalence may differ, but the upward trend is clear. For an ordinary Indian adult, this means roughly 1 in 10 now lives with diabetes, a condition that silently multiplies risks for heart attacks, kidney failure, and blindness. The contrast with the 3.4% low-prevalence neighbour hints at how lifestyle, diet, and genetic factors can produce stark divergences even within the same region.

The disability burden from mental and musculoskeletal disorders has more than doubled since 1990, reaching 30.4 million and 26.7 million DALYs in 2023.

Together these two categories now account for over 57 million years lived with disability, rivaling the toll of many infectious diseases. The near-tripling of mental disorder DALYs (from 11.8 million) reflects better recognition but also genuine increases in depression and anxiety. Musculoskeletal disorders, too, have surged as populations age and sedentary life spreads. Because these conditions rarely kill, they remain under-reported and under-funded; the true burden is likely higher. For an ordinary Indian, this means a growing share of life is spent in pain, immobility, or psychological distress, eroding productivity and family well-being.

Air pollution remained the top risk factor in 2023, causing 2.01 million deaths, while deaths attributed to high body-mass index surged tenfold from 39,000 in 1990 to nearly 400,000.

The 2023 ranking reveals a dual challenge: traditional environmental risks like unsafe water have plummeted (from 1.09 million deaths to 0.31 million), but metabolic and modern risks have exploded. High blood pressure now kills 1.57 million, more than doubling since 1990, and high glucose accounts for 0.97 million deaths. The tenfold rise in BMI-attributed deaths signals an obesity epidemic that will only worsen if unchecked. Because individuals can have multiple risk factors, the death numbers overlap and should not be summed. For an average Indian, the shift means that the threats to life are increasingly from what we breathe and how we eat, rather than from infections.

More than a third of Indian men (36.3%) use tobacco and nearly a fifth (18.9%) drink alcohol, against 8.4% and 1.1% of women.

Tobacco and alcohol are the two largest behavioural risks behind India's cancer and cardiovascular burden, and they are overwhelmingly male. In NFHS-6, men's tobacco use was more than four times women's, and male drinking nearly seventeen times female. Both fell only slightly since NFHS-5 (men's tobacco from 38.0% to 36.3%), so this is a stalled risk, not a retreating one. Because the questions are self-reported, the true figures are likely higher, and women's use in particular is probably understated by stigma. What the bars cannot show is the household reach: the disease, spending and lost income from a man's tobacco or alcohol use land on the whole family.

Total air pollution deaths rose sharply from 1.3 million in 1990 to 2.01 million in 2023, entirely because of surging outdoor pollution, as household pollution deaths slightly dipped from 1.04 million to 0.94 million.

The gap between the total and household lines represents deaths from outdoor (ambient) air pollution, which roughly quadrupled over three decades. Improved access to clean cooking fuels is slowly reducing indoor smoke, but this gain has been overwhelmed by emissions from vehicles, industry, and crop burning. In 2023, outdoor pollution accounted for more than half of all air-pollution-related deaths. The modelled estimates imply that lung and heart diseases from ambient fine particles now affect not just urban but also rural populations. For an ordinary Indian, the air they breathe outside is becoming deadlier even as the kitchen smoke recedes.

Out-of-pocket spending fell from 64.2% to 43.4% of total health expenditure between 2014 and 2023, while the government share rose to 43.7%.

The two lines crossed in 2020-21, signalling that government financing now edges ahead of household spending for the first time in the NHP series. But these are shares of a total that remains small: government health spend is still about 1.4% of GDP, so the shift partly reflects stalled out-of-pocket growth rather than a surge in public funding. For an ordinary Indian, the decline means a shrinking portion of each health rupee comes directly from her pocket, yet the absolute burden can still rise if incomes do not keep pace with medical inflation. The rapid change since 2018 coincides with the rollout of state-funded insurance schemes like PMJAY, which channel public money through private providers rather than directly expanding government hospitals. Even with crossing lines, out-of-pocket payments still dominate spending on medicines and outpatient care, where insurance rarely covers the bill.

A private hospitalisation cost 56,215 rupees on average in 2025, over eight times the 6,937 rupees in a government facility.

The gap has more than doubled from 2014, when the private-to-public ratio was 4.2; private costs rose 118% while public costs crept up only 13% in current rupees. Since these are nominal figures, part of the rise reflects general inflation, but the wedge between the two sectors widened even after adjusting for price changes. For a rural household, a private episode can consume a year’s income, pushing them toward the public system they increasingly avoid. This divergence is fuelled by private-sector consolidation, high-end capital investments, and weak price regulation, while public hospitals rely on flimsy budget increases. The human meaning is stark: choosing the sector where most Indians now get hospitalised often means facing a bill that can tip a family into poverty.

In 2025, 57.9% of rural and 64.6% of urban hospitalisation cases were treated in private facilities, up from around 56% in both sectors in 1996.

The private sector has long been the majority provider, but the rural share crept upward only recently, crossing the old plateau after 2018. This persistent reliance challenges the narrative that rural Indians default to public hospitals; instead, even in villages, six in ten patients now bypass free or low-cost government beds. The shift coincides with NSS data showing that while government hospitalisation costs remain low, the private cost has spiked, suggesting people are paying more for often the same curative care. It also reflects supply-side realities: the number of private hospital beds per capita has grown faster than public-bed expansion, and schemes like PMJAY funnel public money to empanelled private hospitals rather than strengthening government infrastructure. For a landless labourer, the default is no longer the district hospital but a small-town private nursing home that drains household savings.

Rural health-scheme coverage tripled from 14.1% to 47.4% between 2018 and 2025, overtaking urban coverage.

The urban share also jumped, from 19.1% to 44.3%, but the rural climb was steeper, erasing the prior urban advantage. This NSS household self-report measure includes government-funded schemes like PMJAY, state insurance programmes, and private insurance, so the explosion after 2018 is largely driven by the rollout of Ayushman Bharat. However, coverage does not equal utilisation; many enrolled households still pay out-of-pocket when they seek care, either because of unawareness, paperwork hurdles, or empanelled hospital distance. The rural surge is notable because rural residents historically had almost no insurance, facing the full brunt of out-of-pocket hospital costs, as seen in the 56,000-rupee private bill. For a daily-wage earner, a card in her pocket is a guardrail she hopes never collapses, but it may not stop the fall.

76.7% of hospitalisation cases in India are funded mainly from household savings, and another 15% are financed by borrowing, according to the latest NSS household self-reports.

This means that only 0.6% of cases are primarily paid through health insurance, exposing nine in ten families to financial shock from a single illness. Savings depletion is the norm, but borrowing at high interest can push a family into long-term debt. Because the data exclude childbirth, this pattern reflects the financing of illnesses and injuries that are often unexpected. The share paid from help by friends or relatives is a thin 1.5%, underscoring that most families cannot rely on social networks to cushion hospital costs. In contrast to the growing rhetoric of insurance expansion, the ground reality remains a near-total absence of risk-pooling for inpatient care.

Nearly 30% of patients who skip government hospitals cite poor quality of care as the reason, while another 13% point to long waiting times, revealing that free care is not enough.

The single largest specific reason, at 29.7%, is perceived poor quality; combined with the 13% who mention long waits, over two-fifths of bypassing is driven by failure in service delivery rather than cost. Distance from a government facility matters for 4.2% of cases, indicating that physical access remains a barrier for a small but important minority. The sizeable ‘other’ category of 36% likely captures unstated reasons such as lack of cleanliness, staff behaviour, or absence of specific services. Since these are self-reported reasons from NSS microdata, they reflect households’ own judgement, not an external quality assessment. For an ordinary family, this means that even when a free bed is available, the fear of receiving inadequate or disrespectful care pushes them toward paying private providers out of pocket.

India’s total health expenditure stands at just 3.3% of GDP in 2023, less than half the world average of 10% and even lower than its own 4.1% in 2000.

This decline of 0.8 percentage points over two decades happened even as GDP grew rapidly, meaning that health spending did not keep pace with the economy. Among comparable countries, Vietnam spends 4.6% and Sri Lanka 3.7%, both higher than India despite similar or lower income levels. This figure includes out-of-pocket spending by households; the government’s share, at about 1.2% of GDP, is one of the lowest globally. For an ordinary Indian, this translates into heavy reliance on personal funds for healthcare, as seen in the earlier chart. The low public investment limits the scale and quality of free services, leaving millions without financial protection against illness.

India has only 0.72 physicians per 1,000 people, less than half the world’s 1.86, and its hospital bed density has shrunk from 2.13 to 1.59 per 1,000 since 2000.

The physician density has remained flat at 0.72 between 2014 and 2020, suggesting production of doctors barely offsets population growth. Meanwhile, the world average of physicians rose from 1.52 to 1.86 in the same period, widening the gap. Hospital beds per 1,000 people actually declined, even as the population grew by over 300 million, implying a net loss of bed capacity or a disproportionate concentration in the private sector. This twin shortage means that when a poor family does seek care, they often face overcrowded wards and overburdened doctors, which reinforces the bypassing of government facilities shown in the previous chart. The figures draw from administrative sources and may undercount informal providers, but the stark divergence from the world average points to a deep systemic deficit.

In private for-profit hospitals, where 35.2% of deliveries happen, 61.5% are C-sections and the average medical spend is Rs 40,452.

Public hospitals handle 63.8% of deliveries at an average cost of just Rs 2,359, with a C-section rate of only 19.1%. A delivery in a private for-profit hospital costs 17 times more than one in a public facility. The C-section share in private care triples that in public care, a gap that often reflects financial incentives rather than medical necessity. For an ordinary Indian family, choosing a private hospital can mean a high chance of surgical birth and a bill that may push them into debt. The tiny 1% of deliveries in the mid-tier (likely charitable) hospitals carry an intermediate cost and C-section rate, but they barely relieve the overall pattern.

There are 161,829 sub-centres but only 767 district hospitals: for every district hospital, 211 sub-centres exist.

The public infrastructure is heavily bottom-heavy. Sub-centres are the first point of care for millions of rural Indians, yet they are not equipped for deliveries or serious illness. The 31,053 primary health centres form the supposed backbone of clinical care, but many lack full-time doctors. The steep drop from PHCs to 6,064 community health centres and just 767 district hospitals means that for complicated cases, the nearest fully-equipped public facility can be far away. These counts are from administrative records and do not reveal whether a facility is staffed, stocked, or functional.

The top four states alone account for over 6 lakh registered doctors, about 44% of the national total, leaving many other states with fewer than 50,000.

Maharashtra (2.11 lakh), Karnataka (1.49 lakh), Tamil Nadu (1.34 lakh) and Gujarat (1.06 lakh) together claim 6 lakh of the 13.5 lakh registered MBBS doctors. This concentration is only partly explained by population size; it also reflects where medical colleges and urban jobs are located. Per-capita, states like Bihar or Uttar Pradesh, despite large populations, have far fewer registered doctors, starving rural areas of qualified physicians. For an ordinary Indian in a low-registration state, consulting a doctor may require costly travel or reliance on informal practitioners, and the quality of care suffers. The chart shows absolute counts, but the inequality would look even starker when adjusted for population.

In 2026, the cheapest GLP-1 generic in India still costs ₹9,988 per month, far above the headline ₹220-per-shot prices some firms have announced.

This amount is more than double the monthly income of a typical Indian household, placing GLP-1s out of reach for all but the wealthy. While the price has fallen dramatically from branded semaglutide at ₹25,148, it remains vastly more expensive than metformin, which costs under ₹100 a month. The gap between the lowest generic price shown (₹9,988) and the reported ₹880 monthly for some generics shows that availability and retail markups keep real costs high. For ordinary Indians with diabetes, even this 'cheap' option means spending a significant share of income on a chronic therapy. Without deeper price cuts or public subsidies, the metabolic benefits of GLP-1s will bypass the vast majority of the 101 million diabetic Indians.