India’s GDP debate has reached the point where you almost need a dictionary to follow it.
Earlier this week, the Ministry of Statistics and Programme Implementation (MoSPI) reported 7.8% growth for the first quarter of FY27, a number that would normally be greeted with little more than celebration. Instead, economists started arguing over what sits underneath it.
It began with former finance secretary Subhash Chandra Garg questioning the comparison with the previous year and asking whether the . Other economists pushed back, defending the new GDP series and pointing to car sales, tax collections, credit growth and other indicators as signs that the economy is genuinely doing well.
And then came the jargon. Real GDP. Nominal GDP. Base year. Deflator. Double deflation. GVA. Revisions. If you were just scrolling through social media trying to keep up with the debate, there was a good chance you were beginning to feel a little FOMO. Everyone seemed to know exactly what they were talking about. Meanwhile, you were left wondering whether you had somehow missed an economics class.
So let’s fix that. We’re not going to settle the . What we can do is decode the language behind the debate, so that the next time someone throws around words like “deflator” or “base year”, you know exactly what they mean.
Let’s start with the number everyone is talking about.
India’s real GDP grew 7.8% in April-June 2026, according to the new GDP series. Nominal GDP, meanwhile, grew 10.3%, from Rs 80 lakh crore in the first quarter of FY26 to Rs 88.27 lakh crore in the first quarter of FY27.
That gives us our first two terms, and they are much easier to understand than they sound.
Nominal GDP is the value of everything produced, measured using prices prevailing at the time. Real GDP tries to remove the effect of price changes so that we get a better sense of how much actual output has increased.
Imagine a company produces 100 televisions in a year, each costing Rs 50,000. The following year, it still produces 100 televisions, but each now costs Rs 55,000. Nominal GDP has gone up because the price has gone up. Real GDP, however, would show little or no growth because the country has not produced any more televisions.
Now imagine it produces 110 televisions at Rs 55,000 each. Nominal GDP rises because there are more televisions and because they cost more. Real GDP strips out the effect of higher prices. In simple terms, it asks whether the economy is producing more without the effect of changes in prices.
That distinction is at the heart of the current argument.
Garg has focused on the fact that the previous year’s GDP has been revised substantially lower under the new series. If you take the old Q1 FY26 current-price estimate of Rs 86.05 lakh crore and compare it with the new Q1 FY27 figure of Rs 88.27 lakh crore, the increase works out to roughly 2.6%. Garg has used that comparison to argue that the headline 7.8% figure deserves closer scrutiny.
There is an important catch here. That 2.6% is not another official estimate of real GDP growth. It is a nominal comparison between numbers produced under two different GDP series. So you cannot put “7.8%” and “2.6%” next to each other as though two statisticians have calculated two competing versions of the same growth rate.
And that takes us to the next term.
“Base year” sounds like something designed specifically to make an already complicated subject more complicated. It is actually a reference point used to construct the system through which economic activity and prices are compared over time.
India’s old GDP series used 2011-12 as its base year. The new series uses 2022-23.
Why change it? Because economies change. What India produced, how businesses operated and which sectors mattered in 2011-12 are not exactly the same as they were a decade later. A statistical system has to be refreshed periodically so that the economy being measured looks more like the economy that actually exists.
The Covid-19 made that exercise particularly awkward. Some years were badly distorted by the pandemic, while 2021-22 contained a sharp rebound from the pandemic shock. MoSPI has said 2022-23 was a more suitable and relatively normal year for the new base, while also offering better data availability.
The new series also brings in newer sources such as GST data, vehicle-registration information, surveys and administrative datasets.
This is why the revision to last year’s GDP number is so important to the current debate.
Under the old series, Q1 FY26 nominal GDP was estimated at Rs 86.05 lakh crore. Under the new series, it was initially put at Rs 80.32 lakh crore and subsequently revised to Rs 80.44 lakh crore and then Rs 80 lakh crore as more data came in.
That does not mean someone opened the national accounts cupboard and discovered that Rs 6 lakh crore had gone missing.
It means the economy was measured again using a different statistical framework, with newer data and revised methods.
Sanjeev Sanyal, a member of the Prime Minister’s Economic Advisory Council, has defended the change, arguing that the previous base had become problematic because some of the years involved were affected by Covid. His broader argument is that the new series is better suited to the economy India has today.
But now comes another question. If prices are changing all the time, how does GDP work out how much of the growth came from producing more and how much came from prices?
Enter the deflator.
A GDP deflator is essentially a measure used to separate changes in the value of economic output from changes in prices.
Go back to our television company. Suppose its sales rise from Rs 100 crore to Rs 110 crore. That looks like 10% growth. But what if television prices themselves rose 8% during the year? The factory may not have increased its actual production by anything close to 10%.
The deflator helps make that adjustment.
This is also why the GDP deflator should not simply be treated as another version of inflation measured through the Consumer Price Index, or CPI. CPI is designed around the prices households pay for a basket of goods and services. The Wholesale Price Index, or WPI, tracks wholesale prices. The GDP deflator has a broader relationship with the prices associated with domestic production.
The new GDP series has also made the price-adjustment machinery more detailed. has said the number of deflators used in the estimates has increased to more than 300 from roughly 180 earlier, alongside greater use of the Producer Price Index where appropriate.
And this is where the latest GDP numbers become interesting.
Nominal GDP grew 10.3%, while real GDP grew 7.8%. The difference broadly reflects the price effect, with the implied economy-wide GDP price increase coming to around 2.3%.
That is not automatically a problem. Nominal growth being higher than real growth is perfectly normal when prices are rising. The debate is about whether the price adjustments being used to turn nominal numbers into real numbers are capturing the economy accurately.
Which brings us to perhaps the strangest term in this entire debate.
Double deflation sounds like something you would rather not have happen to anything, let alone the Indian economy.
But it is actually a fairly simple idea.
Imagine a company that manufactures refrigerators. It buys steel, compressors, plastic, electricity and other inputs. It then sells refrigerators.
Suppose the price of refrigerators rises 5%, but the cost of all those inputs rises 10%. Looking only at the selling price would give us an incomplete picture of what happened inside the factory. The company sold its refrigerators at higher prices, but the cost of producing them rose even faster.
Double deflation attempts to account for both sides. The prices of what the factory produces are adjusted separately from the prices of what it consumes to produce those goods. This gives statisticians a better way of estimating how much real value the manufacturer actually added.
The new GDP series uses double deflation for manufacturing where the necessary data are available. And this is where one of the strangest-looking numbers in the latest GDP release appears.
Nominal manufacturing GVA grew 7.7% in Q1 FY27. Real manufacturing GVA, however, grew 9.2%. That implies an implicit manufacturing deflator of roughly minus 1.5%.
A negative deflator naturally sounds alarming. It can also produce some funny mental images of factories desperately cutting prices just to make the GDP spreadsheet happy.
That is not what it means.
It does not mean every manufactured product in India became cheaper. It reflects the relationship between output and input prices in the calculation of real manufacturing value added. In other words, it is a feature of the statistical calculation, not a claim that washing machines, cars, steel and every other manufactured product suddenly became 1.5% cheaper.
The government’s argument is that this is precisely why the new methodology is an improvement. Instead of applying one broad price adjustment to manufacturing, the new approach tries to capture what is happening to both the things manufacturers sell and the things they buy.
There is another term that appears frequently in these debates and tends to be skipped because GDP gets all the attention.
That is GVA, or Gross Value Added.
If GDP is trying to tell us how much the economy has produced, GVA looks at how much value individual sectors have actually added.
Take a bakery. It buys flour, sugar, electricity and other ingredients and sells cakes. The entire selling price of those cakes cannot be treated as value created by the bakery because some of that value came from the ingredients it purchased. GVA is broadly the value of the bakery’s output minus the intermediate inputs it consumed.
GDP then adds taxes on products and subtracts subsidies.
This is why GVA can sometimes tell a slightly different story from GDP. In Q1 FY27, real GVA grew 8.2%, faster than real GDP’s 7.8%.
It also gives us a better look at what is driving the economy. Manufacturing grew 9.2% in real terms, financial services grew 12.1%, private consumption grew 7.1%, while gross fixed capital formation, a measure of investment, grew 11.9%.
And this is where the debate gets bigger than the GDP number itself.
Former RBI governor and Raghuram Rajan growth is not showing up more clearly in areas such as jobs, investment and foreign portfolio flows. Other economists have pointed to car sales, tax collections, credit growth and construction as independent signs that economic activity really is strong.
So economists can look at broadly the same economy and ask very different questions.
One may ask whether the statistical measurement is giving us the right growth rate. Another may ask whether that growth is visible in the lives of businesses and households.
Both questions can exist at the same time.
Finally, we come to revisions, perhaps the least glamorous word in the entire debate and one of the most important.
GDP numbers are not carved into stone when they are first released. The initial estimate is based on the information available at that point. As more company data, tax information, industrial data and other sources arrive, the numbers can change, and they usually do.
And they can change in either direction.
Krishnamurthy V Subramanian, former chief economic adviser, has pointed to exactly this when defending the revision process. Q1 FY24 growth, for example, was revised from 8.2% to 6.6%, while Q2 FY25 was revised from 5.6% to 7.3%.
Saurabh Garg has made the same broader point from the statistics ministry’s side, saying revisions in the new series have moved both upwards and downwards and arguing that there is no consistent bias in one direction. He has also said future revisions should become smaller as the new system settles, and more data are incorporated.
That distinction is worth remembering.
A revision is not, by itself, evidence that the original number was fake.
The more serious questions are why the revision happened, what new information caused it and whether revisions over time show a consistent pattern.
Now we can return to the original fight.
The argument is not really 7.8% versus 2.6%. Those numbers are answering different questions, and Garg’s 2.6% comes from comparing GDP estimates from different statistical series.
The deeper debate is about whether India’s new GDP system is measuring the economy better than the old one, whether the new price adjustments are sensible, whether the large revision to the previous year changes the interpretation of current growth, and whether the headline strength is consistent with what we see in investment, jobs, consumption and corporate activity.
Sanyal’s view is that the new series fixes longstanding methodological problems and that the strength of GDP is visible in other indicators too. Garg wants greater scrutiny of the revisions and the resulting growth comparison.
World Bank Executive Director Neelkanth Mishra has strongly pushed back against claims that the , pointing to high-frequency indicators such as vehicle sales, tax collections, credit and construction.
And the statisticians will keep doing what statisticians do. They will collect more data, revise estimates and, occasionally, give everyone a new number to argue about.
So no, we have not picked a winner.
But the next time someone says India grew 7.8%, or that the deflator was negative, or that the base year changed, or that double deflation is responsible for some strange-looking manufacturing number, you will at least know what they mean.
You have the dictionary now.
And that should make the next GDP debate a little less intimidating — and considerably more interesting.