There is an unsettling paradox in the release of health survey data in India. Survey findings often end up doing exactly the reverse of what they should. They often highlight what we already know, do not take a sufficiently serious view of what has not improved, and rarely lead to immediate programmatic action. The discussion that follows is often ritualistic: the government highlights achievements, newspapers amplify numbers, academics wait for raw data to analyse, and business and industry identify market opportunities.

This seems to be the case with the three recently released health-linked surveys: the National Family Health Survey (NFHS-6), the National Statistical Office (NSO) 80th Round Household Consumption on Health and the National Health Accounts Estimates for India 2022-23.

All three should have offered a moment of national stocktaking. Instead, the two reports on health expenses barely received any attention, while the third, the NFHS-6, and its use by key stakeholders, tells a familiar story. In government communication, improvements have been selected and celebrated. Achievements must, of course, be acknowledged. However, the real value of such surveys is not in confirming what has worked, but in showing where programmes remain weak and old strategies are no longer sufficient.

The business of disease

Industry and business groups have flagged rising health challenges reported in NFHS-6. Rising obesity becomes an argument for weight-loss products, apps, gyms, diagnostics and drugs. Rising diabetes becomes an opportunity for monitoring devices, test packages and private clinics. Rising non-communicable diseases become the market case for more screening, testing and medicalisation. Where public health messaging is weak and private health markets are aggressive, every survey finding can become a business prospect.

The one positive development so far has been the extensive coverage in the print media, which has flagged what matters to citizens: the rise of obesity, diabetes, hypertension and other non-communicable diseases (NCD). Yet, much of this was already known. Obesity and other NCDs have moved from urban and affluent groups to all social and economic groups. The new data merely put fresh numbers to an old warning.

What is grossly missing is critical reflection and policy dialogue around these findings. This should worry us. A health survey is not meant to be a national reminder of familiar problems but an instrument of course correction. If anaemia has not improved, the response cannot be another paragraph in a report. If out-of-pocket expenditure remains high, the answer cannot be only a headline on a declining percentage share. If obesity is rising among children, the response cannot be a few articles followed by silence.

The NFHS-6 also carries a temporal problem. Its data were collected during 2023-24, but the findings entered public debate in mid-2026. In a political system skilled at both claiming credit and avoiding blame, this lag is convenient. A government can celebrate positive indicators as proof of current policy success while dismissing uncomfortable findings as “old data”, influenced by the COVID-19 pandemic, past administrative disruptions or conditions that have since improved. The survey then becomes less a compass and more a weapon. This is unfair to the survey and unhelpful to policymaking.

Academicians and public health researchers play a crucial role in interpreting large-scale survey data beyond official reports. In India, however, such analysis is often delayed because raw data are released late. By the time peer-reviewed studies appear, three to five years may have passed since data collection. Policymakers can then dismiss critical findings as outdated and no longer relevant. As a result, data lose their impact: when reports are released, raw data are unavailable for scrutiny; when analysis finally arrives, the opportunity for policy action has often passed.

From data to action

There is a need to reflect on how India continues to miss these opportunities. Data improve health outcomes only when they are linked to timely and relevant policy decisions. Countries that make effective use of health data do not wait years for perfect academic papers or definitive solutions. Instead, they have robust systems and empowered institutions that generate rapid policy briefs, identify lagging districts and regions, conduct regular reviews, compare performance, allocate resources efficiently and adapt programmes as needed. The translation of data into action is not merely a slogan; it is a discipline. India needs to cultivate that discipline if it is to realise the full value of the vast amounts of health data it collects.

First, every major national health survey should be followed, within 30 to 45 days, by a national and State-level action note jointly prepared by the government and independent academic institutions. The note should candidly identify what has improved, what has remained stagnant and what has deteriorated. Each finding should be linked to a specific programme and a clearly accountable authority. If child nutrition has stagnated, the nutrition programme must respond. If hypertension detection remains inadequate, the primary health-care system must respond. If out-of-pocket expenditure on medicines remains high, the drug procurement system must respond. Data should not merely describe problems; they should trigger accountability and corrective action.

Second, there should be State-level health data review meetings, not ceremonial events but working sessions. Health Secretaries, Finance Departments, District officials, public health experts, civil society representatives, other key stakeholders and independent subject experts should examine the findings together. The question should not be, “What can we highlight?” It should be, “What must we change?”

Third, India needs systems for the optimal and timely use of survey data. It has started developing the Integrated Health Information Platform (IHIP), but that is primarily for real-time data. Survey data, Health Management Information System (HMIS) data and IHIP data must be combined to generate analytical information. Fragmented data produce fragmented policy.

Fourth, primary data and source files from surveys should be made available early so that independent researchers and public institutions can produce quick analysis. There is no reason to wait years for serious interpretation. Data should not sit like a guarded file. They should be available as a public good.

Fifth, findings should influence budgetary allocation. If a survey shows rising NCDs, primary care budgets must reflect the need for NCD prevention and treatment. If households are spending heavily on medicines, public facilities must strengthen essential drug availability. If obesity is rising in children, school health, food regulation and urban planning must respond. Data without budgetary consequence are merely information.

Looking ahead

Economist Aaron Levenstein said in 1951 that “statistics are like bikinis. What they reveal is suggestive, but what they conceal is vital”. Health data should be like an x-ray. They are useful only when interpreted correctly, discussed honestly and followed by policy actions. Data and statistics are only as useful as their interpretation; interpretation is only as useful as the action it produces. The next time survey findings are released, the real question should not be what the numbers show. The real question should be: what will change in programmes in a month’s time, in six months and in a year? Alongside this, India definitely needs more and timely health data. However, what we need even more is accountability.

Dr. Chandrakant Lahariya is a practising physician in preventive and cardio-metabolic medicine and specialist in health policy. He has worked with the World Health Organization (WHO) and the UN system for nearly 18 years