India’s headline GDP growth looks powerful, yet many citizens and businesses report a slower pulse on the ground. This apparent contradiction can be understood by looking at how GDP is measured and how India’s economy has evolved since 2011. A simplified lens clarifies the mechanics—and why the numbers and lived experience sometimes diverge.

Jackets and Juices: a simplified economy

Imagine an economy with two industries: jackets and juices. Jackets are mostly produced in the formal sector—factories and professional tailors—so their output is visible, reported, and relatively easy to track. A small artisanal segment exists but remains less visible. By contrast, juices are largely a cottage, informal activity, with only a modest formal slice captured well by corporate reporting.

How GDP is measured in theory

GDP is the value of production in a given year. Because adding jackets and juices as units does not make sense, GDP is calculated in monetary terms. Multiplying quantities by current-year prices yields Nominal GDP. However, prices change over time, so to isolate real production, statisticians fix a base year (for example, 2011) and multiply current quantities by base-year prices to get Real GDP. Formal jacket output is directly counted; informal jacket output is estimated through periodic surveys that establish ratios (for example, for every 100 formal jackets, 10 are made informally). These ratios are updated with fresh surveys as structures change.

For the largely informal juice sector, a benchmark survey in a particular year (say 2015) can be used to compare the juice sector’s size with jackets, and thereafter changes in the better-tracked jacket sector can be used as a proxy to estimate juice growth. Spot checks with formal juice companies and a small sample of sellers are used to validate the proxy until more comprehensive surveys refresh the estimates.

In practice: classification, prices, and the GDP deflator

Real-world classification complicates measurement. Jackets include multiple varieties; juices span fresh, concentrates, pulps, and different fruits with different price dynamics. To avoid category confusion, statisticians often use total sales to build Nominal GDP. They then compare price changes across product types between the base year, the prior year, and the current year to compute a GDP deflator. Real GDP is obtained by adjusting Nominal GDP with this deflator, which aims to remove the effect of price changes and isolate real production volumes.

Why this matters for India’s GDP since 2011

First, India transitioned from a high-inflation to a lower-inflation regime. Combined with imported disinflation from China and swings in energy and food prices, this has produced a volatile GDP deflator. In such phases, deflator arithmetic can amplify or suppress Real GDP growth relative to the underlying momentum. (See: Moneylife Article: How Lower Inflation Lowered Economic Growth with Many Knock-on Effects.)

Second, financialisation and digitisation have accelerated—helped by the JAM trinity and tax streamlining—moving activity from informal to formal channels or at least making it more visible. Measured GDP, therefore, captures more of what was previously undercounted. This is not simply a “shrinking informal sector”; rather, it is improved visibility and counting of output that already existed.

Third, consumption and production patterns have shifted meaningfully as demographics, technology, and shocks like the pandemic reshape the economy. When a base year grows stale, price and quantity weights become less representative, increasing measurement error.

Measurement stress points and upgrades

Methodologies and survey ecosystems designed for a smaller, less dynamic economy show their age in a $4 trillion economy. The system requires fresher base years, richer price capture, and wider coverage of unincorporated enterprises. Assessments such as IMF data quality grading have been interpreted by some analysts to suggest potential undercounting or mismeasurement, underscoring the need for upgrades. Several instruments—new base-year series, census, consumption expenditure surveys, NSSO rounds, and the Annual Survey of Unincorporated Sector Enterprises (ASUSE)—have faced delays during COVID-19 but are slated to improve accuracy once implemented.

What the numbers may be signaling

Measured (visible) GDP has accelerated as more activity is captured and as deflator dynamics fluctuate. Informal output has partly formalised and partly remained informal; estimation techniques are improving, but older series and proxies can still introduce noise. The deflator’s recent behavior likely boosted measured Real GDP growth and, symmetrically, may have suppressed it in earlier periods. The underlying total economy—jackets plus juices—likely grew at a steadier pace than the headlines suggest, explaining why euphoria on the ground may appear softer than the top-line numbers.

Policy and investing takeaways

Tracking Nominal GDP alongside inflation, as well as Real GDP, can provide a more balanced view of momentum. Better, timelier price and quantity data are essential for policy calibration, including RBI decisions on interest rates. Strengthening statistical systems enhances transparency, improves trust, and supports inclusive, broad-based development that benefits all communities in India’s diverse, dharmic civilisational fabric.

Notes, readings, references

• India’s GDP Mis-estimation: Likelihood, Magnitudes, Mechanisms, and Implications (Harvard Kennedy School working paper by Arvind Subramanian). Argues that methodological changes post-2011 may have overstated growth by around 2.5 percentage points annually by over-relying on formal-sector proxies for the informal sector. (https://www.hks.harvard.edu/centers/cid/publications/faculty-working-papers/india-gdp-overestimate)

• Is India’s Q2 GDP Surge Believable? (The Wire, Arun Kumar). Questions a reported growth surge by comparing headline GDP with high-frequency indicators and highlighting large statistical discrepancies between production and expenditure approaches when informal-sector data are scarce. (https://m.thewire.in/article/economy/is-indias-q2-gdp-surge-believable)

• Beyond The Headlines: A Closer Look At India’s Higher-Than-Expected Q2 Growth (Swarajya, Pramod Hegde). Explains how negative wholesale inflation can mechanically lift Real GDP via the deflator, potentially overstating volume growth relative to underlying activity. (https://swarajyamag.com/economy/beyond-the-headlines-a-closer-look-at-indias-higher-than-expected-q2-growth-figure)

• GDP data revisions—why India still struggles with sharp variations (The Print, A.K. Bhattacharya). Reviews the frequency and scale of revisions and what they imply about real-time data gaps and the need for improved coverage. (https://theprint.in/opinion/india-gdp-revisions-data-reliability/2544179/)

Related analyses within the same theme include: Inflation v Growth – Will the RBI blunder?; RBI: Fighting inflation or fighting the poor?; and RBI: Is it suppressing Indian growth?

In sum, the GDP growth conundrum reflects evolving measurement in a rapidly changing economy. As deflators stabilise and the base year is refreshed, the signal will improve. Until then, reading Nominal GDP and inflation alongside Real GDP offers a more accurate compass for policy, business decisions, and inclusive development.

Inspired by this post on RightViews.