INDICONOMICS RESEARCH

A21: comparison exhibits and calculation notes

The table shows published growth rates and one-at-a-time diagnostics. Rates and gaps are percentage values or percentage points, as labeled. Source cells and definitions are cited below.

Fifteen-row sensitivity exhibit

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Series Period Measure Growth (%) PFCE minus HCES (pp) Status and limit
PFCE per personFY Apr-Marnominal, national accounts8.89published; closer aggregate consumption benchmark
PFCE per personFY Apr-Marreal, official5.28published
HCES MPCE rural ordinaryAug-Julnominal, HCES9.25published survey mean
HCES MPCE rural ordinaryAug-Julreal, official CPI(R/U)3.541.75published survey mean; FY benchmark period differs
HCES MPCE rural ordinaryAug-Julnominal with PFCE implied price change5.63-0.34diagnostic only; not a replacement HCES deflator
HCES MPCE urban ordinaryAug-Julnominal, HCES8.31published survey mean
HCES MPCE urban ordinaryAug-Julreal, official CPI(R/U)3.481.81published survey mean; FY benchmark period differs
HCES MPCE urban ordinaryAug-Julnominal with PFCE implied price change4.720.56diagnostic only; not a replacement HCES deflator
HCES MPCE rural selected free-itemAug-Julnominal, HCES10.03published survey mean
HCES MPCE rural selected free-itemAug-Julreal, official CPI(R/U)4.281.00published survey mean; FY benchmark period differs
HCES MPCE urban selected free-itemAug-Julnominal, HCES8.54published survey mean
HCES MPCE urban selected free-itemAug-Julreal, official CPI(R/U)3.701.59published survey mean; FY benchmark period differs
PFCE per personapprox Aug-Julreal, quarter-weighted5.11timing diagnostic; equal intra-quarter flow and population interpolation
PFCE vs HCES MPCE rural ordinaryapprox Aug-Jul vs survey Aug-Julreal growth difference1.57timing diagnostic; HCES item recall still differs
PFCE vs HCES MPCE urban ordinaryapprox Aug-Jul vs survey Aug-Julreal growth difference1.63timing diagnostic; HCES item recall still differs

Fixed comparison

Core arithmetic

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Calculation Formula/input Result
Rural ordinary nominal MPCE growth4,122 / 3,773 − 19.2499%
Urban ordinary nominal MPCE growth6,996 / 6,459 − 18.3140%
Rural ordinary real MPCE growth2,079 / 2,008 − 13.5359%
Urban ordinary real MPCE growth3,632 / 3,510 − 13.4758%
Extra-imputed rural real MPCE growth2,142 / 2,054 − 14.2843%
Extra-imputed urban real MPCE growth3,674 / 3,543 − 13.6974%
Nominal PFCE per-person growth117,633.861119707 / 108,026.007356823 − 18.8940%
Real PFCE per-person growth113,733.363955177 / 108,026.007356823 − 15.2833%
Real GDP per-person growth201,324.264115189 / 189,291.452888021 − 16.3568%
Real NNI per-person growth171,422.014471476 / 160,694.276826715 − 16.6759%

Ordinary PFCE minus HCES real-growth differences: 1.7475 percentage points rural, 1.8075 urban. With selected free-item imputation: 0.9990 rural, 1.5859 urban. The imputation contrasts alter the survey measure; they do not isolate the causal value of transfers.

The implied price-change calculation is (1 + nominal growth)/(1 + real growth) - 1. Results: PFCE 3.4295%, ordinary rural MPCE 5.5189%, ordinary urban MPCE 4.6757%. Applying the PFCE implied price change to nominal HCES growth, (1 + nominal MPCE growth)/(1 + PFCE implied price change) - 1, gives 5.6274% rural and 4.7225% urban. The first exceeds real PFCE per-person growth by 0.3441 point; the second trails by 0.5608 point. This imposed common-deflator scenario is diagnostic, not a revised HCES series.

For approximate August–July PFCE, the approximate calculation uses 2/3 of FY Q2, all of Q3 and Q4, all of the next FY Q1, and 1/3 of its Q2, for each survey window. The real aggregate totals are ₹15,246,502.0686 crore and ₹16,170,669.7352 crore. Linear interpolation of MoSPI mid-FY population yields 1,387.0887m and 1,399.6700m. Dividing aggregate PFCE by population gives a real per-person growth of 5.1081%. The difference from FY 5.2833% is 0.1752 point. Relative to ordinary survey real MPCE, the rough-window differences are 1.5723 and 1.6324 points. Equal within-quarter flow and linear population are assumptions; HCES recall prevents exact window equivalence.

These one-at-a-time sensitivities cannot be summed as an additive decomposition. The common-price scenario and quarterly-window scenario are not a jointly harmonised PFCE–HCES estimate. PFCE/HCES scope and survey uncertainty remain unresolved, and NAS partly uses HCES inputs. No standard error of a growth-rate gap, household-level recovery finding, or missing-rupee estimate has been calculated.

Sources

[1] MoSPI, National Accounts Statistics 2026, released 31 August 2026, base 2022–23: Statement 1.2, Statement 1.14, and quarterly Statement 8.18.1.

[2] MoSPI, HCES 2023–24, Report 592, especially Tables 3.3 and 3.18 and Appendix C.

[3] MoSPI, Sources and Methods for Compilation of National Accounts Statistics, 21 September 2026, chapter 21 and Annexes II and VII.

[4] Angus Deaton and Valerie Kozel, “Data and Dogma: The Great Indian Poverty Debate”, World Bank Research Observer 20(2), 2005, pp. 177–199.

[5] Espen Beer Prydz, Dean Jolliffe and Umar Serajuddin, Mind the Gap, World Bank Policy Research Working Paper 9779, 2021.

[6] Ashish Kumar and Payal Seth, “Bridging the Consumption Gap in India’s Statistics”, Economic & Political Weekly 61(5), 31 January 2026, pp. 22–25. Cited for prior-art scope; its numerical tables are not used here.