MoSPI Dataset Analysis — Statistical Bulletin

How much of the rupee's fall is real, and is this what China was accused of?

A follow-on to the currency segment: separating how much of the rupee's slide against the dollar is just India's higher inflation catching up, versus a genuine loss of real buying power — then asking whether India's currency defense looks anything like the "manipulation" China was scrutinized for.

SOURCE: Nominal rate — same MoSPI connector + RBI Reference Rate Archive series as the currency segment. India inflation — implied GDP deflator from the MoSPI connector's NAS growth-rate data (nominal minus real GDP growth). US inflation — BLS CPI-U annual averages via usinflationcalculator.com. Currency-manipulator framework — U.S. Treasury FX reports, via Wikipedia/CSIS summaries. China policy context — Brookings, "China's Currency Policy, Explained."

Nominal rate vs. real (purchasing-power-adjusted) rate

Same units, one axis. The gap between the lines is the part of the move that isn't just inflation catching up.

Nominal ₹ per US$1 Real (PPP-adjusted) ₹ per US$1, base Jan 2015

The real rate answers "what would the nominal rate be if India and the US had had identical inflation since Jan 2015?" It's built from India's implied GDP deflator (nominal GDP growth minus real growth, from the NAS chart's own data) and US CPI-U, chained annually and applied to the Jan-2015 nominal rate. Where the two lines track together, depreciation is just offsetting India's higher inflation — purchasing power parity holding. Where they diverge, that's a real shift in the rupee's value.

View year-by-year nominal vs. real table

What "effective buying power" means here

Nominally, the rupee needs 54.9% more of itself to buy one US dollar than it did in January 2015 (₹62.23 → ₹96.37). But India's prices also rose faster than America's over that period — a cumulative ~57% in India's implied GDP deflator versus ~40% in US CPI. Pure purchasing-power-parity theory says a chunk of that 54.9% nominal move should just be offsetting that inflation gap, leaving the currency's real value unchanged.

It doesn't work out that way. The real, inflation-adjusted rate still moved +37.6% — from an effective ₹62.23 to an effective ₹85.64 per dollar.

Turn that around: a rupee's effective buying power for dollar-priced goods and services has fallen by roughly 27% since January 2015 (1 − 1/1.376), even after fully crediting India's own inflation as a separate, already-priced-in effect. That's the honest way to answer "did the rupee actually get weaker, or did prices just rise?" — the answer is both, and the "actually weaker" part is the bigger piece.

The last twelve months make the point sharply. Nominally the rupee fell 11.9% (₹86.11 → ₹96.37). But India's implied inflation this year (~0.9%, from the FY2025-26 First Advance Estimate) was actually lower than the US's (~2.6–2.8%) — so PPP alone would have predicted the rupee strengthening slightly. Instead it weakened sharply. On this measure, essentially all of the past year's depreciation is real, not inflationary — consistent with the reserves chart's "war shock" story, not a story about India's own prices.

Is this what China was accused of?

The verdict
China fits the definition of currency manipulation. India does not.
China was formally designated a currency manipulator in August 2019 for a mechanism it ran for years: buying foreign currency and accumulating reserves to hold the yuan artificially weak, subsidizing exports. India's RBI is currently doing the opposite — selling reserves to stop the rupee falling further, not buying dollars to push it down. Same word ("manipulation") would describe two opposite actions; only one of them is what actually happened here.

The U.S. Treasury's framework for labeling a trading partner a "currency manipulator" (from the 2015 Trade Facilitation and Trade Enforcement Act) rests on three tests, evaluated together: a bilateral goods trade surplus with the US above a set threshold (originally $20bn), a current account surplus above roughly 2–3% of GDP, and — the test that actually matters here — persistent, one-sided FX intervention: net purchases of foreign currency exceeding about 2% of GDP over 12 months, repeated in at least 6 of those months. Meeting all three gets the formal label; meeting two lands a country on a "Monitoring List." China was formally designated a manipulator in August 2019 and had the label removed in January 2020, after agreeing to currency provisions in the Phase One trade deal.

China's own long-run pattern, as the Brookings piece lays out, was letting the renminbi appreciate only slowly and grudgingly — about 25% against the dollar since 2005 by the article's account — despite years of U.S. pressure for faster movement, while Beijing treated exchange-rate management as a legitimate development tool rather than a trade weapon. The mechanism behind the "manipulator" concern was China buying foreign currency and selling its own — accumulating reserves — specifically to keep the renminbi cheaper than it would otherwise be, subsidizing Chinese exports.

India's own reserves chart above shows the RBI doing the opposite: selling foreign currency, not buying it — reserves fell from a $728.5bn peak to a $666.9bn trough, an 8.5% drawdown, precisely while the rupee was depreciating.

That's intervention in the defensive direction — propping the rupee up, not holding it down. It runs directly against the mechanism Treasury's third test is built to catch, which requires net purchases of foreign currency to weaken a country's own currency for competitive advantage. A central bank spending down its reserves to slow a depreciation is, if anything, giving up some of the export-competitiveness gain a weaker currency would otherwise hand it — the opposite motive from the one "manipulation" describes. (India has landed on Treasury's Monitoring List in some past reports for partially meeting the trade-surplus and current-account tests; it has never been formally designated a manipulator, and the intervention direction here is the specific reason why it wouldn't fit even if the other two tests were met.)

So: the rupee's real depreciation is genuine and sizable by the numbers above, but it reads as a currency under pressure that the RBI is leaning against, not a currency being deliberately held down to chase a trade advantage. Those are opposite stories that happen to produce the same headline ("the rupee is weaker") — worth keeping straight before reaching for the word "manipulation."

Source: Brookings Institution, "China's Currency Policy, Explained"; U.S. Treasury semiannual FX reports (criteria and 2019–2020 China designation, via Wikipedia/CSIS summaries).

Errata & methodology caveats
  • India's "inflation" here is an implied GDP deflator, not CPI — computed as (1 + nominal GDP growth) / (1 + real GDP growth) − 1 for each fiscal year, using the same NAS data as the GDP growth chart. It's a reasonable broad price-level proxy but isn't the same basket as CPI, and FY2025-26 uses only a First Advance Estimate (7% real, 8% nominal) that will itself be revised.
  • Fiscal years (India) are aligned to calendar years (US) by position, not exact overlap — FY2014-15 (Apr 2014–Mar 2015) is treated as "year 1" alongside US calendar 2015. This is a reasonable decade-scale approximation, not a precise month-matched calculation.
  • This is a bilateral real exchange rate against the US dollar only, not a trade-weighted multilateral REER (which the RBI itself does publish separately, against a basket of currencies) — a true REER could tell a different story if the rupee moved differently against, say, the euro or yen.
  • The 2026 US inflation figure is an estimate (~2.6–2.8%, extrapolated from partial-year 2026 CPI readings), since a full calendar-year 2026 average doesn't exist yet.
  • The Treasury manipulator thresholds themselves have been revised more than once since 2015; the numbers cited here are the commonly reported original thresholds, not necessarily the exact figures in the most recent FX report.